1
|
Zhang CL, Maccarone JR, Grady ST, Collins CM, Moy ML, Hart JE, Kang CM, Coull BA, Schwartz JD, Koutrakis P, Garshick E. Indoor and ambient black carbon and fine particulate matter associations with blood biomarkers in COPD patients. Sci Total Environ 2024; 927:171897. [PMID: 38522542 DOI: 10.1016/j.scitotenv.2024.171897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Revised: 03/20/2024] [Accepted: 03/20/2024] [Indexed: 03/26/2024]
Abstract
BACKGROUND Systemic inflammation contributes to cardiovascular risk and chronic obstructive pulmonary disease (COPD) pathophysiology. Associations between systemic inflammation and exposure to ambient fine particulate matter (PM ≤ 2.5 μm diameter; PM2.5), and black carbon (BC), a PM2.5 component attributable to traffic and other sources of combustion, infiltrating indoors are not well described. METHODS Between 2012 and 2017, COPD patients completed in-home air sampling over one-week intervals, up to four times (seasonally), followed by measurement of plasma biomarkers of systemic inflammation, C-reactive protein (CRP) and interleukin-6 (IL-6), and endothelial activation, soluble vascular adhesion molecule-1 (sVCAM-1). Ambient PM2.5, BC and sulfur were measured at a central site. The ratio of indoor/ambient sulfur in PM2.5, a surrogate for fine particle infiltration, was used to estimate indoor BC and PM2.5 of ambient origin. Linear mixed effects regression with a random intercept for each participant was used to assess associations between indoor and indoor of ambient origin PM2.5 and BC with each biomarker. RESULTS 144 participants resulting in 482 observations were included in the analysis. There were significant positive associations between indoor BC and indoor BC of ambient origin with CRP [%-increase per interquartile range (IQR);95 % CI (13.2 %;5.2-21.8 and 11.4 %;1.7-22.1, respectively)]. Associations with indoor PM2.5 and indoor PM2.5 of ambient origin were weaker. There were no associations with IL-6 or sVCAM-1. CONCLUSIONS In homes of patients with COPD without major sources of combustion, indoor BC is mainly attributable to the infiltration of ambient sources of combustion indoors. Indoor BC of ambient origin is associated with increases in systemic inflammation in patients with COPD, even when staying indoors.
Collapse
Affiliation(s)
- Cathy L Zhang
- Research and Development Service, VA Boston Healthcare System, 1400 VFW Parkway, West Roxbury, MA 02132, USA
| | - Jennifer R Maccarone
- Pulmonary, Allergy, Sleep, and Critical Care Medicine Section, Medical Service, VA Boston Healthcare System, 1400 VFW Parkway, West Roxbury, Boston, MA 02132, USA; The Pulmonary Center, Boston University School of Medicine, 72 East Concord Street, Boston, MA 02118, USA
| | - Stephanie T Grady
- Boston University School of Public Health, 715 Albany St, Boston, MA 02118, USA
| | - Christina M Collins
- Research and Development Service, VA Boston Healthcare System, 1400 VFW Parkway, West Roxbury, MA 02132, USA
| | - Marilyn L Moy
- Pulmonary, Allergy, Sleep, and Critical Care Medicine Section, Medical Service, VA Boston Healthcare System, 1400 VFW Parkway, West Roxbury, Boston, MA 02132, USA; Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA
| | - Jaime E Hart
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, 181 Longwood Avenue, Boston, MA 02115, USA; Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA
| | - Choong-Min Kang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA
| | - Brent A Coull
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA 02115, USA
| | - Joel D Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA 02115, USA
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 655 Huntington Ave, Boston, MA 02115, USA
| | - Eric Garshick
- Pulmonary, Allergy, Sleep, and Critical Care Medicine Section, Medical Service, VA Boston Healthcare System, 1400 VFW Parkway, West Roxbury, Boston, MA 02132, USA; Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA.
| |
Collapse
|
2
|
Wu L, Shen Y, Che F, Zhang Y, Gao J, Wang C. Evaluating the performance and influencing factors of three portable black carbon monitors for field measurement. J Environ Sci (China) 2024; 139:320-333. [PMID: 38105058 DOI: 10.1016/j.jes.2023.05.044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 05/26/2023] [Accepted: 05/30/2023] [Indexed: 12/19/2023]
Abstract
Black carbon (BC) is associated with adverse human health and climate change. Mapping BC spatial distribution imperatively requires low-cost and portable devices. Several portable BC monitors are commercially available, but their accuracy and reliability are not always satisfactory during continuous field observation. This study evaluated three models of portable black carbon monitors, C12, MA350 and DST, and investigates the factors that affect their performance. The monitors were tested in urban Beijing, where portable devices running for one month alongside a regular-size reference aethalometer AE33. The study considers several factors that could influence the monitors' performance, including ambient weather, aerosol composition, loading artifacts, and built-in algorithms. The results show that MA350 and DST present considerable discrepancies to the reference instrument, mainly occurring at lower concentrations (0-500 ng/m3) and higher concentrations (2500-8000 ng/m3), respectively. These discrepancies were likely caused by the anomalous noise of MA350 and the loading artifacts of DST. The study also suggests that the ambient environment has limited influence on the monitors' performance, but loading artifacts and accompanying compensation algorithms can result in unrealistic data. Based on the evaluation, the study suggests that C12 is the best choice for unsupervised field measurement, DST should be used in scenarios where frequent maintenance is available, and MA350 is suitable for research purposes with post-processing applicable. The study highlights the importance of assigning portable BC monitors to appropriate applications and the need for optimized real-time compensation algorithms.
Collapse
Affiliation(s)
- Liqing Wu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yicheng Shen
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
| | - Fei Che
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yuzhe Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jian Gao
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
| | - Chong Wang
- Jinan Ecological Environmental Protection Grid-Based Supervision Center, Jinan 250013, China
| |
Collapse
|
3
|
Rodríguez J, Villalobos AM, Castro-Molinare J, Jorquera H. Local and NON-LOCAL source apportionment of black carbon and combustion generated PM 2.5. Environ Pollut 2024; 346:123568. [PMID: 38382732 DOI: 10.1016/j.envpol.2024.123568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 02/11/2024] [Accepted: 02/12/2024] [Indexed: 02/23/2024]
Abstract
Current methods for measuring black carbon aerosol (BC) by optical methods apportion BC to fossil fuel and wood combustion. However, these results are aggregated: local and non-local combustion sources are lumped together. The spatial apportioning of carbonaceous aerosol sources is challenging in remote or suburban areas because non-local sources may be significant. Air quality modeling would require highly accurate emission inventories and unbiased dispersion models to quantify such apportionment. We propose FUSTA (FUzzy SpatioTemporal Apportionment) methodology for analyzing aethalometer results for equivalent black carbon coming from fossil fuel (eBCff) and wood combustion (eBCwb). We applied this methodology to ambient measurements at three suburban sites around Santiago, Chile, in the winter season 2021. FUSTA results showed that local sources contributed ∼80% to eBCff and eBCwb in all sites. By using PM2.5 - eBCff and PM2.5 - eBCwb scatterplots for each fuzzy cluster (or source) found by FUSTA, the estimated lower edge lines showed distinctive slopes in each measurement site. These slopes were larger for non-local sources (aged aerosols) than for local ones (fresh emissions) and were used to apportion combustion PM2.5 in each site. In sites Colina, Melipilla and San Jose de Maipo, fossil fuel combustion contributions to PM2.5 were 26 % (15.9 μg m-3), 22 % (9.9 μg m-3), and 22 % (7.8 μg m-3), respectively. Wood burning contributions to PM2.5 were 22 % (13.4 μg m-3), 19 % (8.9 μg m-3) and 22% (7.3 μg m-3), respectively. This methodology generates a joint source apportionment of eBC and PM2.5, which is consistent with available chemical speciation data for PM2.5 in Santiago.
Collapse
Affiliation(s)
- Jessika Rodríguez
- Departamento de Ingeniería Química y Bioprocesos, Pontificia Universidad Católica de Chile, Avda. Vicuña Mackenna 4860, Santiago 7820436, Chile; Center for Sustainable Urban Development (CEDEUS), Los Navegantes 1963, Providencia, Santiago 7520246, Chile
| | - Ana María Villalobos
- Departamento de Ingeniería Química y Bioprocesos, Pontificia Universidad Católica de Chile, Avda. Vicuña Mackenna 4860, Santiago 7820436, Chile
| | - Julio Castro-Molinare
- Gestion Ambiental Consultores, General del Canto 421, piso 6, Santiago 7500588, Chile
| | - Héctor Jorquera
- Departamento de Ingeniería Química y Bioprocesos, Pontificia Universidad Católica de Chile, Avda. Vicuña Mackenna 4860, Santiago 7820436, Chile; Center for Sustainable Urban Development (CEDEUS), Los Navegantes 1963, Providencia, Santiago 7520246, Chile.
| |
Collapse
|
4
|
Zhou Y, Yang J, Kang S, Hu Y, Chen X, Xu M, Ma M. Weakened black carbon trans-boundary transport to the Tibetan Plateau during the COVID-19 pandemic. Sci Total Environ 2024; 916:170208. [PMID: 38246372 DOI: 10.1016/j.scitotenv.2024.170208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 12/23/2023] [Accepted: 01/14/2024] [Indexed: 01/23/2024]
Abstract
The lockdowns implemented during the coronavirus disease 2019 (COVID-19) pandemic provide a unique opportunity to investigate the impact of emission sources and meteorological conditions on the trans-boundary transportation of black carbon (BC) aerosols to the Tibetan Plateau (TP). In this study, we conducted an integrative analysis, including in-situ observational data, reanalysis datasets, and numerical simulations, and found a significant reduction in the trans-boundary transport of BC to the TP during the 2020 pre-monsoon season as a result of the lockdowns and restrictive measures. Specifically, we observed a decrease of 0.0211 μgm-3 in surface BC concentration over the TP compared to the 2016 pre-monsoon period. Of this reduction, approximately 6.04 % can be attributed to the decrease in emissions during the COVID-19 pandemic, surpassing the 4.47 % decrease caused by changes in meteorological conditions. Additionally, the emission reductions have weakened the trans-boundary transport of South Asia BC to the TP by 0.0179 μgm-2s-1; indicating that the recurring spring atmospheric pollution from South Asia to the TP will be alleviated through the reduction of anthropogenic emissions. Moreover, it is important to note that BC deposition on glaciers contributes significantly to glacier melting due to its enrichment, posing a threat to the water sustainability of the TP. Therefore, urgent measures are needed to reduce emissions from adjacent regions to preserve the TP as the "Asian Water Tower."
Collapse
Affiliation(s)
- Ye Zhou
- State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Junhua Yang
- State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China.
| | - Shichang Kang
- State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yuling Hu
- State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Xintong Chen
- State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Mian Xu
- State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| | - Mengmeng Ma
- State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
| |
Collapse
|
5
|
Mitroo D, Das DN, Hamilton PD, Kumfer BM, Ravi N. Combustion conditions influence toxicity of flame-generated soot to ocular (ARPE-19) cells. Environ Pollut 2024; 344:123307. [PMID: 38190877 DOI: 10.1016/j.envpol.2024.123307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 12/18/2023] [Accepted: 01/04/2024] [Indexed: 01/10/2024]
Abstract
Soot is a prevalent aerosol found both indoors and outdoors that has several sources, such as natural (e.g., wildfires), civilian (e.g., cooking), or military (e.g., burn pit operation). Additionally, within the sources, factors that influence the physicochemical properties of the soot include combustion temperature, oxygen availability, and fuel type. Being able to reproduce soot in the laboratory and systematically assess its toxicity is important in the pursuit of elucidating pathologies associated with its exposure. Of the organs of interest, we targeted the eye given the scant attention received. Yet, air pollution constituents such as soot have been linked to diseases such as age-related macular degeneration and proliferative vitreoretinopathy. We developed a bench-scale system to synthesize different types of soot, that is, soot with a systematically varied physical attributes or chemical composition. We used common analytical techniques to probe such properties, and used statistical analyses to correlate them with toxicity in vitro using ARPE-19 cells. Within the range of flame conditions studied, we find that soot toxicity increases with increasing oxygen concentration in fuel-rich premixed flames, and weakly increases with decreasing flame temperature. Additionally, soot particles produced in premixed flames are generally smaller in size, exhibit a lesser fractal structure, and are considerably more toxic to ARPE-19 cells than soot particles produced in non-premixed flames.
Collapse
Affiliation(s)
- Dhruv Mitroo
- Veterans Research and Education Foundation, St. Louis, MO, 63103, USA; Veterans Affairs Medical Center, St. Louis, MO, 63103, USA
| | - Durgesh N Das
- Department of Ophthalmology and Visual Sciences, Washington University in St. Louis, St. Louis MO 63110, USA
| | - Paul D Hamilton
- Veterans Research and Education Foundation, St. Louis, MO, 63103, USA; Veterans Affairs Medical Center, St. Louis, MO, 63103, USA
| | - Benjamin M Kumfer
- Center for Aerosol Science and Engineering, Department of Energy, Environmental, and Chemical Engineering, Washington University, St. Louis, MO 63130, USA
| | - Nathan Ravi
- Veterans Research and Education Foundation, St. Louis, MO, 63103, USA; Veterans Affairs Medical Center, St. Louis, MO, 63103, USA; Department of Ophthalmology and Visual Sciences, Washington University in St. Louis, St. Louis MO 63110, USA; Center for Aerosol Science and Engineering, Department of Energy, Environmental, and Chemical Engineering, Washington University, St. Louis, MO 63130, USA.
| |
Collapse
|
6
|
Li L, Cheng W, Xie X, Zhao R, Wang Y, Wang Z. Photo-Reactivity of dissolved black carbon unveiled by combination of optical spectroscopy and FT-ICR MS analysis: Effects of pyrolysis temperature. Water Res 2024; 251:121138. [PMID: 38244298 DOI: 10.1016/j.watres.2024.121138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 12/29/2023] [Accepted: 01/14/2024] [Indexed: 01/22/2024]
Abstract
Dissolved black carbon (DBC) has high photoactivity, which plays an important role in contaminants photodegradation. However, it is unclear how pyrolysis temperatures would affect the composition and photo-reactivity of DBC at the molecular level. Herein, we combined complementary techniques to study the characteristics of DBC pyrolyzed at 200 - 500 ℃, as well as the photoproduction of reactive species and the photodegradation of tetracycline (TC). Bulk composition characterization found that condensed aromatic carbonyl compounds (ConAC) with narrow molecular weights in DBC experienced an increase from 200 to 500 °C, which enhanced the photoproduction of 3DBC*,1O2, and ·OH. Molecular-level data suggested that 3DBC* and 1O2 were both related to the same DBC compounds. Comparatively, the patterns for ·OH were less pronounced, implying its precursor was not 3DBC* and had more complexity. Plentiful CHOx species of ConAC in DBC400 and DBC500 (DBCT, where T = pyrolysis temperature) accelerated the generation of 3DBC* and 1O2, enhancing the photodegradation of TC, and mainly triplet states of quinones reacted with TC. In contrast, DBC200 and DBC300 exhibited inhibition since massive CHOx species in lignin-like reduced 3TC* to TC. Our data revealed the diverse photochemical behavior mechanisms of DBC pyrolyzed at 200 - 500 ℃ at the molecular level and the implications for aquatic contaminants photochemistry.
Collapse
Affiliation(s)
- Liangyu Li
- Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, Gansu Province, China
| | - Wan Cheng
- Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, Gansu Province, China
| | - Xiaoyun Xie
- Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, Gansu Province, China.
| | - Ranran Zhao
- Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, Gansu Province, China
| | - Yaodong Wang
- Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, Gansu Province, China
| | - Zhaowei Wang
- Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, Gansu Province, China.
| |
Collapse
|
7
|
Savadkoohi M, Pandolfi M, Favez O, Putaud JP, Eleftheriadis K, Fiebig M, Hopke PK, Laj P, Wiedensohler A, Alados-Arboledas L, Bastian S, Chazeau B, María ÁC, Colombi C, Costabile F, Green DC, Hueglin C, Liakakou E, Luoma K, Listrani S, Mihalopoulos N, Marchand N, Močnik G, Niemi JV, Ondráček J, Petit JE, Rattigan OV, Reche C, Timonen H, Titos G, Tremper AH, Vratolis S, Vodička P, Funes EY, Zíková N, Harrison RM, Petäjä T, Alastuey A, Querol X. Recommendations for reporting equivalent black carbon (eBC) mass concentrations based on long-term pan-European in-situ observations. Environ Int 2024; 185:108553. [PMID: 38460240 DOI: 10.1016/j.envint.2024.108553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 03/01/2024] [Accepted: 03/01/2024] [Indexed: 03/11/2024]
Abstract
A reliable determination of equivalent black carbon (eBC) mass concentrations derived from filter absorption photometers (FAPs) measurements depends on the appropriate quantification of the mass absorption cross-section (MAC) for converting the absorption coefficient (babs) to eBC. This study investigates the spatial-temporal variability of the MAC obtained from simultaneous elemental carbon (EC) and babs measurements performed at 22 sites. We compared different methodologies for retrieving eBC integrating different options for calculating MAC including: locally derived, median value calculated from 22 sites, and site-specific rolling MAC. The eBC concentrations that underwent correction using these methods were identified as LeBC (local MAC), MeBC (median MAC), and ReBC (Rolling MAC) respectively. Pronounced differences (up to more than 50 %) were observed between eBC as directly provided by FAPs (NeBC; Nominal instrumental MAC) and ReBC due to the differences observed between the experimental and nominal MAC values. The median MAC was 7.8 ± 3.4 m2 g-1 from 12 aethalometers at 880 nm, and 10.6 ± 4.7 m2 g-1 from 10 MAAPs at 637 nm. The experimental MAC showed significant site and seasonal dependencies, with heterogeneous patterns between summer and winter in different regions. In addition, long-term trend analysis revealed statistically significant (s.s.) decreasing trends in EC. Interestingly, we showed that the corresponding corrected eBC trends are not independent of the way eBC is calculated due to the variability of MAC. NeBC and EC decreasing trends were consistent at sites with no significant trend in experimental MAC. Conversely, where MAC showed s.s. trend, the NeBC and EC trends were not consistent while ReBC concentration followed the same pattern as EC. These results underscore the importance of accounting for MAC variations when deriving eBC measurements from FAPs and emphasize the necessity of incorporating EC observations to constrain the uncertainty associated with eBC.
Collapse
Affiliation(s)
- Marjan Savadkoohi
- Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain; Department of Natural Resources & Environment, Industrial & TIC Engineering (EMIT-UPC), Manresa, Spain.
| | - Marco Pandolfi
- Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain.
| | - Olivier Favez
- Institut National de l'Environnement Industriel et des Risques (INERIS), Verneuil-en-Halatte, France
| | | | - Konstantinos Eleftheriadis
- Environmental Radioactivity & Aerosol Technology for Atmospheric & Climate Impact Lab, INRaSTES, NCSR "Demokritos", Athens, Greece
| | - Markus Fiebig
- Dept. Atmospheric and Climate Research, NILU-Norwegian Institute for Air Research, Kjeller, Norway
| | - Philip K Hopke
- Department of Public Health Sciences, University of Rochester School of Medicine & Dentistry, Rochester, NY, USA; Institute for a Sustainable Environment, Clarkson University, Potsdam, NY, USA
| | - Paolo Laj
- Univ. Grenoble, CNRS, IRD, IGE, 38000 Grenoble, France
| | | | - Lucas Alados-Arboledas
- Andalusian Institute for Earth System Research (IISTA-CEAMA), University of Granada, Granada, Spain
| | - Susanne Bastian
- Saxon State Office for Environment, Agriculture and Geology/Saxon State Department for Agricultural and Environmental Operations, Dresden, Germany
| | - Benjamin Chazeau
- Aix Marseille Univ., CNRS, LCE, Marseille, France; Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
| | - Álvaro Clemente María
- Atmospheric Pollution Laboratory (LCA), Department of Applied Physics, Miguel Hernández University, Avenida de la Universidad S/N, 03202, Elche, Spain
| | - Cristina Colombi
- Arpa Lombardia, Settore Monitoraggi Ambientali, Unità Operativa Qualità dell'Aria, Milano, Italy
| | - Francesca Costabile
- Institute of Atmospheric Sciences and Climate-National Research Council, Rome, Italy
| | - David C Green
- MRC Centre for Environment and Health, Environmental Research Group, Imperial College London, UK; HPRU in Environmental Exposures and Health, Imperial College London, UK
| | - Christoph Hueglin
- Laboratory for Air Pollution and Environmental Technology, Swiss Federal Laboratories for Materials Science and Technology (Empa), Duebendorf, Switzerland
| | - Eleni Liakakou
- Institute for Environmental Research & Sustainable Development, National Observatory of Athens, Athens, Greece
| | - Krista Luoma
- Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland
| | - Stefano Listrani
- ARPA Lazio, Regional Environmental Protection Agency, Rome, Italy
| | - Nikos Mihalopoulos
- Institute for Environmental Research & Sustainable Development, National Observatory of Athens, Athens, Greece
| | | | - Griša Močnik
- Center for Atmospheric Research, University of Nova Gorica, Nova Gorica, 5270, Slovenia; Jozef Stefan Institute, Ljubljana, 1000, Slovenia
| | - Jarkko V Niemi
- Helsinki Region Environmental Services Authority (HSY), Helsinki, Finland
| | - Jakub Ondráček
- Laboratory of Aerosols Chemistry and Physics, Institute of Chemical Process Fundamentals, Academy of Sciences of the Czech Republic, Rozvojova, Prague, Czech Republic
| | - Jean-Eudes Petit
- Laboratoire des Sciences du Climat et de l'Environnement, CEA/Orme des Merisiers, Gif-sur-Yvette, France
| | - Oliver V Rattigan
- Division of Air Resources, New York State Dept of Environmental Conservation, NY, USA
| | - Cristina Reche
- Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain
| | - Hilkka Timonen
- Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland
| | - Gloria Titos
- Andalusian Institute for Earth System Research (IISTA-CEAMA), University of Granada, Granada, Spain
| | - Anja H Tremper
- MRC Centre for Environment and Health, Environmental Research Group, Imperial College London, UK
| | - Stergios Vratolis
- Environmental Radioactivity & Aerosol Technology for Atmospheric & Climate Impact Lab, INRaSTES, NCSR "Demokritos", Athens, Greece
| | - Petr Vodička
- Laboratory of Aerosols Chemistry and Physics, Institute of Chemical Process Fundamentals, Academy of Sciences of the Czech Republic, Rozvojova, Prague, Czech Republic
| | - Eduardo Yubero Funes
- Atmospheric Pollution Laboratory (LCA), Department of Applied Physics, Miguel Hernández University, Avenida de la Universidad S/N, 03202, Elche, Spain
| | - Naděžda Zíková
- Laboratory of Aerosols Chemistry and Physics, Institute of Chemical Process Fundamentals, Academy of Sciences of the Czech Republic, Rozvojova, Prague, Czech Republic
| | - Roy M Harrison
- Division of Environmental Health & Risk Management, School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, United Kingdom; Department of Environmental Sciences, Faculty of Meteorology, Environment and Arid Land Agriculture, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Tuukka Petäjä
- Institute for Atmospheric and Earth System Research/Physics (INAR), Faculty of Science, University of Helsinki, Helsinki, Finland
| | - Andrés Alastuey
- Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain
| | - Xavier Querol
- Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain
| |
Collapse
|
8
|
Li W, Wang Y, Yi Z, Guo B, Chen W, Che H, Zhang X. Evaluation of MERRA-2 and CAMS reanalysis for black carbon aerosol in China. Environ Pollut 2024; 343:123182. [PMID: 38123119 DOI: 10.1016/j.envpol.2023.123182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 11/24/2023] [Accepted: 12/15/2023] [Indexed: 12/23/2023]
Abstract
Black carbon (BC) constitutes a pivotal component of atmospheric aerosols, significantly impacting regional and global radiation balance, climate, and human health. In this study, we evaluated BC data in two prominent atmospheric composition reanalysis datasets: the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) and the Copernicus Atmosphere Monitoring Service (CAMS), and analyzed the causes of their deviations. This assessment is based on observational data collected from 34 monitoring stations across China from 2006 to 2022. Our research reveals a significant and consistent decline in BC concentrations within China, amounting to a reduction exceeding 67.33%. However, both MERRA-2 and CAMS reanalysis data fail to capture this declining trend. The average annual decrease of BC in MERRA-2 from 2006 to 2022 is only 0.06 μg/m3 per year, while the BC concentration in CAMS even increased with an average annual value of 0.014 μg/m3 per year. In 2022, MERRA-2 had overestimated BC concentration by 20% compared to observational data, while CAMS had overestimated it by approximately 66%. In the regional BC concentration analysis, the data quality of the reanalysis data is better in the South China (RM = 0.59, RC = 0.53), followed by the North China (RM = 0.50, RC = 0.42). Reanalysis BC data in Northwest China and the Tibetan Plateau are difficult to use for practical analysis due to their big difference with observation. In a comparison of the anthropogenic BC emissions inventory used in the two atmospheric composition reanalysis datasets with the Multi-resolution Emission Inventory model for Climate and air pollution research (MEIC) emissions inventory, we found that: Despite the significant decline in China's BC emissions, MERRA-2 still relies on the 2006 emissions inventory, while CAMS utilizes emission inventories that even show an increasing trend. These factors will undoubtedly lead to greater deviations between reanalysis and observational data.
Collapse
Affiliation(s)
- Weijie Li
- State Key Laboratory of Severe Weather & Institute of Artificial Intelligence for Meteorology, Chinese Academy of Meteorological Sciences, Beijing, 100081, China
| | - Yaqiang Wang
- State Key Laboratory of Severe Weather & Institute of Artificial Intelligence for Meteorology, Chinese Academy of Meteorological Sciences, Beijing, 100081, China.
| | - Ziwei Yi
- State Key Laboratory of Severe Weather & Institute of Artificial Intelligence for Meteorology, Chinese Academy of Meteorological Sciences, Beijing, 100081, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Bin Guo
- Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences, Fudan University, Shanghai, 200433, China
| | - Wencong Chen
- Wenzhou Meteorological Bureau, Wenzhou, 325000, China
| | - Huizheng Che
- State Key Laboratory of Severe Weather & Institute of Artificial Intelligence for Meteorology, Chinese Academy of Meteorological Sciences, Beijing, 100081, China
| | - Xiaoye Zhang
- State Key Laboratory of Severe Weather & Institute of Artificial Intelligence for Meteorology, Chinese Academy of Meteorological Sciences, Beijing, 100081, China
| |
Collapse
|
9
|
Duan L, Yu H, Wang Q, Wang F, Lin T, Cao Y, Guo Z. A comprehensive exploration of characteristics and source attribution of carbonaceous aerosols in PM 2.5 in an East China megacity. Environ Pollut 2024; 343:123239. [PMID: 38154782 DOI: 10.1016/j.envpol.2023.123239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 12/15/2023] [Accepted: 12/25/2023] [Indexed: 12/30/2023]
Abstract
A total of 84 PM2.5 (fine particulate matter) aerosol samples were collected between October 2020 and August 2021 within an urban site in Hangzhou, an East China megacity. Chemical species, such as organic carbon (OC), elemental carbon (EC), as well as char, soot, and n-alkanes, were analyzed to determine their pollution characteristics and source contributions. The mean yearly concentrations of OC, EC, char, soot, and total n-alkanes (∑n-alkane) were 8.76 ± 3.61 μg/m3, 1.44 ± 0.76 μg/m3, 1.21 ± 0.69 μg/m3, 0.3 ± 0.1 μg/m3, and 24.2 ± 10.6 ng/m3. The OC, EC, and ∑n-alkanes were found in the highest levels during winter and lowest during summer. There were strong correlations between OC and EC in both winter and spring, suggesting similar potential sources for these carbonaceous components in both seasons. There were poor correlations among the target pollutants due to summertime secondary organic carbon formation. Potential source contribution functions analysis showed that local pollution levels in winter and autumn were likely influenced by long-range transportation from the Plain of North China. Source index and positive matrix factorization models provided insights into the complex sources of n-alkanes in Hangzhou. Their major contributors were identified as terrestrial plant releases (32.7%), traffic emissions (28.8%), coal combustion (27.3%), and microbial activity (11.2%). Thus, controlling vehicular emissions and coal burning could be key measures to alleviate n-alkane concentrations in the atmosphere of Hangzhou, as well as other Chinese urban centers.
Collapse
Affiliation(s)
- Lian Duan
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai, 200438, China; Institute of Eco-Chongming (IEC), Shanghai, 200062, China
| | - Huimin Yu
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai, 200438, China
| | - Qiongzhen Wang
- Environmental Science Research & Design Institute of Zhejiang Province, Hangzhou, Zhejiang, 310007, China; Key Laboratory of Environmental Pollution Control Technology of Zhejiang Province, Hangzhou, 310007, China
| | - Fengwen Wang
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, College of Environment and Ecology, Chongqing University, Chongqing, 400030, China
| | - Tian Lin
- College of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, 201306, China
| | - Yibo Cao
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai, 200438, China
| | - Zhigang Guo
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai, 200438, China; Institute of Eco-Chongming (IEC), Shanghai, 200062, China; State Environmental Protection Key Laboratory of Land and Sea Ecological Governance and Systematic Regulation, Shandong Academy for Environmental Planning, Jinan, 250101, China.
| |
Collapse
|
10
|
Goranov AI, Chen H, Duan J, Myneni SCB, Hatcher PG. Potentially Massive and Global Non-Pyrogenic Production of Condensed "Black" Carbon through Biomass Oxidation. Environ Sci Technol 2024; 58:2750-2761. [PMID: 38294931 PMCID: PMC10867845 DOI: 10.1021/acs.est.3c05448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 01/10/2024] [Accepted: 01/11/2024] [Indexed: 02/02/2024]
Abstract
With the increased occurrences of wildfires worldwide, there has been an increase in scientific interest surrounding the chemistry of fire-derived "black" carbon (BC). Traditionally, wildfire research has assumed that condensed aromatic carbon (ConAC) is exclusively produced via combustion, and thus, ConAC is equated to BC. However, the lack of correlations between ConAC in soils or rivers and wildfire history suggests that ConAC may be produced non-pyrogenically. Here, we show quantitative evidence that this occurs during the oxidation of biomass with environmentally ubiquitous hydroxyl radicals. Pine wood boards exposed to iron nails and natural weather conditions for 12 years yielded a charcoal-like ConAC-rich material. ConAC was also produced during laboratory oxidations of pine, maple, and brown-rotted oak woods, as well as algae, corn root, and tree bark. Back-of-the-envelope calculations suggest that biomass oxidation could be producing massive non-pyrogenic ConAC fluxes to terrestrial and aquatic environments. These estimates (e.g., 163-182 Tg-ConAC/year to soils) are much higher than the estimated pyrogenic "BC" fluxes (e.g., 128 Tg-ConAC/year to soils) implying that environmental ConAC is primarily non-pyrogenic. This novel perspective suggests that wildfire research trajectories should shift to assessing non-pyrogenic ConAC sources and fluxes, developing new methods for quantifying true BC, and establishing a new view of ConAC as an intermediate species in the biogeochemical processing of biomass during soil humification, aquatic photochemistry, microbial degradation, or mineral-organic matter interactions. We also advise against using BC or pyrogenic carbon (pyC) terminologies for ConAC measured in environmental matrices, unless a pyrogenic source can be confidently assigned.
Collapse
Affiliation(s)
- Aleksandar I. Goranov
- Department
of Chemistry and Biochemistry, Old Dominion
University, Norfolk, Virginia 23529 United States
| | - Hongmei Chen
- Department
of Chemistry and Biochemistry, Old Dominion
University, Norfolk, Virginia 23529 United States
| | - Jianshu Duan
- Department
of Geosciences, Princeton University, Princeton, New Jersey 08544 United States
| | - Satish C. B. Myneni
- Department
of Geosciences, Princeton University, Princeton, New Jersey 08544 United States
| | - Patrick G. Hatcher
- Department
of Chemistry and Biochemistry, Old Dominion
University, Norfolk, Virginia 23529 United States
| |
Collapse
|
11
|
Wu Z, Wang Y, Shao L, Zhang H, Dai H, Fan H, Zheng C, Gao X. Electrostatic removal of ultrafine carbon black with square-grooved collecting plates: Insights for capturing black carbon emitted from ships. J Environ Sci (China) 2024; 136:559-569. [PMID: 37923464 DOI: 10.1016/j.jes.2022.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 11/02/2022] [Accepted: 11/03/2022] [Indexed: 11/07/2023]
Abstract
Ships and other mobile pollution sources emitted massive ultrafine and low-resistivity particles containing black carbon (BC), which were harmful to human health and were difficult to capture by conventional electrostatic precipitators (ESPs). In this study, nanoscale carbon black was adopted as simulated particles (SP) with similar physicochemical properties for black carbon emitted from ships (SP-BC) to investigate the feasibility of using an ESP with square-grooved collecting plates for the removal of SP-BC at low backpressures. The increased applied voltage significantly improved the total collection of SP-BC whereas may also promote the conversion of relatively larger particle size SP-BC into nano-size below 20 nm. The outlet number concentration of SP-BC under 27 kV at 130°C was three times that of the inlet. While the reduction of the flow rate could strengthen the capture of SP-BC below 20 nm, and under the combined action of low flow rate and maximum applied voltage, the collection efficiency of 20-100 nm SP-BC could exceed 90%. In addition, the escape and capture characteristics of SP-BC under long-term rapping were revealed. The square-grooved collecting plate could effectively restrain the re-entrainment of collected SP-BC generated by rapping, and the nanoscale SP-BC was trapped in the grooves after rapping. The results could provide insights into the profound removal of massive nanoscale black carbon emissions from mobile sources.
Collapse
Affiliation(s)
- Zhicheng Wu
- State Key Lab of Clean Energy Utilization, State Environmental Protection Engineering Center for Coal-Fired Air Pollution Control, Zhejiang University, Hangzhou 310027, China
| | - Yifan Wang
- State Key Lab of Clean Energy Utilization, State Environmental Protection Engineering Center for Coal-Fired Air Pollution Control, Zhejiang University, Hangzhou 310027, China
| | - Lingyu Shao
- State Key Lab of Clean Energy Utilization, State Environmental Protection Engineering Center for Coal-Fired Air Pollution Control, Zhejiang University, Hangzhou 310027, China
| | - Hao Zhang
- Department of Earth and Environmental Sciences, University of Manchester, Oxford Road, United Kingdom
| | - Haobo Dai
- Zhejiang Tiandi Environmental Protection Engineering Co., Ltd., Hangzhou 310012, China
| | - Haidong Fan
- Baima Lake Laboratory (Zhejiang Provincial Laboratory of Energy and Carbon Neutrality), Hangzhou 310000, China
| | - Chenghang Zheng
- State Key Lab of Clean Energy Utilization, State Environmental Protection Engineering Center for Coal-Fired Air Pollution Control, Zhejiang University, Hangzhou 310027, China; Baima Lake Laboratory (Zhejiang Provincial Laboratory of Energy and Carbon Neutrality), Hangzhou 310000, China.
| | - Xiang Gao
- State Key Lab of Clean Energy Utilization, State Environmental Protection Engineering Center for Coal-Fired Air Pollution Control, Zhejiang University, Hangzhou 310027, China; Baima Lake Laboratory (Zhejiang Provincial Laboratory of Energy and Carbon Neutrality), Hangzhou 310000, China
| |
Collapse
|
12
|
Targino AC, Krecl P, Oukawa GY, Mollinedo EM. A short climatology of black and brown carbon and their sources at a suburban site impacted by smoke in Brazil. J Environ Sci (China) 2024; 136:498-511. [PMID: 37923459 DOI: 10.1016/j.jes.2022.12.025] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Revised: 12/20/2022] [Accepted: 12/20/2022] [Indexed: 11/07/2023]
Abstract
Emissions from biomass burning challenge efforts to curb air pollution in cities downwind of fire-prone regions, as they contribute large amounts of brown carbon (BrC) and black carbon (BC) particles. We investigated the patterns of BrC and BC concentrations using Aethalometer data (at λ = 370 and 880 nm, respectively) spanning four years at a site impacted by the outflow of smoke. The data required to be post processed for the shadowing effect since, without correction, concentrations would be between 29% and 35% underestimated. The BrC concentrations were consistently higher than the BC concentrations, indicating the prevalence of aerosols from biomass burning. The results were supported by the Ångström coefficient (Å370/880), with values predominantly larger than 1 (mean ± standard deviation: 1.25 ± 0.31). Å370/880 values below 1 were more prevalent during the wet season, which suggests a contribution from fossil fuel combustion. We observed sharp BrC and BC seasonal signals, with mean minimum concentrations of 0.40 µg/m3 and 0.36 µg/m3, respectively, in the wet season, and mean maximum concentrations of 2.05 µg/m3 and 1.53 µg/m3 in the dry season. The largest concentrations were observed when northerly air masses moved over regions with a high density of fire spots. Local burning of residential solid waste and industrial combustion caused extreme BrC and BC concentrations under favourable wind directions. Although neither pollutant is included in any ambient air quality standards, our results suggest that transboundary smoke may hamper efforts to meet the World Health Organization guidelines for fine particles.
Collapse
Affiliation(s)
- Admir Créso Targino
- Graduate Program in Environmental Engineering, Federal University of Technology, Av. Pioneiros 3131, Londrina, PR 86036-370, Brazil.
| | - Patricia Krecl
- Graduate Program in Environmental Engineering, Federal University of Technology, Av. Pioneiros 3131, Londrina, PR 86036-370, Brazil
| | - Gabriel Yoshikazu Oukawa
- Department of Environmental Engineering, Federal University of Technology, Av. Pioneiros 3131, Londrina, PR 86036-370, Brazil
| | - Eva Maria Mollinedo
- Graduate Program in Environmental Engineering, Federal University of Technology, Av. Pioneiros 3131, Londrina, PR 86036-370, Brazil
| |
Collapse
|
13
|
Mendoza DL, Hill LD, Blair J, Crosman ET. A Long-Term Comparison between the AethLabs MA350 and Aerosol Magee Scientific AE33 Black Carbon Monitors in the Greater Salt Lake City Metropolitan Area. Sensors (Basel) 2024; 24:965. [PMID: 38339682 PMCID: PMC10857035 DOI: 10.3390/s24030965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 01/28/2024] [Accepted: 01/29/2024] [Indexed: 02/12/2024]
Abstract
Black carbon (BC) or soot contains ultrafine combustion particles that are associated with a wide range of health impacts, leading to respiratory and cardiovascular diseases. Both long-term and short-term health impacts of BC have been documented, with even low-level exposures to BC resulting in negative health outcomes for vulnerable groups. Two aethalometers-AethLabs MA350 and Aerosol Magee Scientific AE33-were co-located at a Utah Division of Air Quality site in Bountiful, Utah for just under a year. The aethalometer comparison showed a close relationship between instruments for IR BC, Blue BC, and fossil fuel source-specific BC estimates. The biomass source-specific BC estimates were markedly different between instruments at the minute and hour scale but became more similar and perhaps less-affected by high-leverage outliers at the daily time scale. The greater inter-device difference for biomass BC may have been confounded by very low biomass-specific BC concentrations during the study period. These findings at a mountainous, high-elevation, Greater Salt Lake City Area site support previous study results and broaden the body of evidence validating the performance of the MA350.
Collapse
Affiliation(s)
- Daniel L. Mendoza
- Department of Atmospheric Sciences, University of Utah, 135 S 1460 E, Room 819, Salt Lake City, UT 84112, USA
- Pulmonary Division, School of Medicine, University of Utah, 26 N 1900 E, Salt Lake City, UT 84132, USA
- Department of City & Metropolitan Planning, University of Utah, 375 S 1530 E, Suite 220, Salt Lake City, UT 84112, USA
| | - L. Drew Hill
- AethLabs, 3085 21st Street, San Francisco, CA 94110, USA; (L.D.H.); (J.B.)
| | - Jeffrey Blair
- AethLabs, 3085 21st Street, San Francisco, CA 94110, USA; (L.D.H.); (J.B.)
| | - Erik T. Crosman
- Department of Life, Earth and Environmental Sciences, West Texas A&M University, Natural Sciences Building 324, Canyon, TX 79016, USA;
| |
Collapse
|
14
|
Fung PL, Savadkoohi M, Zaidan MA, Niemi JV, Timonen H, Pandolfi M, Alastuey A, Querol X, Hussein T, Petäjä T. Constructing transferable and interpretable machine learning models for black carbon concentrations. Environ Int 2024; 184:108449. [PMID: 38286044 DOI: 10.1016/j.envint.2024.108449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 01/12/2024] [Accepted: 01/17/2024] [Indexed: 01/31/2024]
Abstract
Black carbon (BC) has received increasing attention from researchers due to its adverse health effects. However, in-situ BC measurements are often not included as a regulated variable in air quality monitoring networks. Machine learning (ML) models have been studied extensively to serve as virtual sensors to complement the reference instruments. This study evaluates and compares three white-box (WB) and four black-box (BB) ML models to estimate BC concentrations, with the focus to show their transferability and interpretability. We train the models with the long-term air pollutant and weather measurements in Barcelona urban background site, and test them in other European urban and traffic sites. Despite the difference in geographical locations and measurement sites, BC correlates the strongest with particle number concentration of accumulation mode (PNacc, r = 0.73-0.85) and nitrogen dioxide (NO2, r = 0.68-0.85) and the weakest with meteorological parameters. Due to its similarity of correlation behaviour, the ML models trained in Barcelona performs prominently at the traffic site in Helsinki (R2 = 0.80-0.86; mean absolute error MAE = 3.90-4.73 %) and at the urban background site in Dresden (R2 = 0.79-0.84; MAE = 4.23-4.82 %). WB models appear to explain less variability of BC than BB models, long short-term memory (LSTM) model of which outperforms the rest of the models. In terms of interpretability, we adopt several methods for individual model to quantify and normalize the relative importance of each input feature. The overall static relative importance commonly used for WB models demonstrate varying results from the dynamic values utilized to show local contribution used for BB models. PNacc and NO2 on average have the strongest absolute static contribution; however, they simultaneously impact the estimation positively and negatively at different sites. This comprehensive analysis demonstrates that the possibility of these interpretable air pollutant ML models to be transfered across space and time.
Collapse
Affiliation(s)
- Pak Lun Fung
- Institute for Atmospheric and Earth System Research / Physics, Faculty of Science, University of Helsinki, Helsinki FI-00560, Finland; Helsinki Institute of Sustainability Science, Faculty of Science, University of Helsinki, Helsinki FI-00560, Finland.
| | - Marjan Savadkoohi
- Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain; Department of Mining, Industrial and ICT Engineering (EMIT), Manresa School of Engineering (EPSEM), Universitat Politècnica de Catalunya (UPC), Manresa 08242, Spain.
| | - Martha Arbayani Zaidan
- Institute for Atmospheric and Earth System Research / Physics, Faculty of Science, University of Helsinki, Helsinki FI-00560, Finland; Helsinki Institute of Sustainability Science, Faculty of Science, University of Helsinki, Helsinki FI-00560, Finland; Department of Computer Science, Faculty of Science, University of Helsinki, Helsinki FI-00560, Finland.
| | - Jarkko V Niemi
- Helsinki Region Environmental Services Authority (HSY), Helsinki FI-00066, Finland.
| | - Hilkka Timonen
- Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki FI-00560, Finland.
| | - Marco Pandolfi
- Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain.
| | - Andrés Alastuey
- Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain.
| | - Xavier Querol
- Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain.
| | - Tareq Hussein
- Institute for Atmospheric and Earth System Research / Physics, Faculty of Science, University of Helsinki, Helsinki FI-00560, Finland; Environmental and Atmospheric Research Laboratory (EARL), Department of Physics, School of Science, Amman 11942, Jordan.
| | - Tuukka Petäjä
- Institute for Atmospheric and Earth System Research / Physics, Faculty of Science, University of Helsinki, Helsinki FI-00560, Finland.
| |
Collapse
|
15
|
Kerckhoffs J, Hoek G, Vermeulen R. Mobile monitoring of air pollutants; performance evaluation of a mixed-model land use regression framework in relation to the number of drive days. Environ Res 2024; 240:117457. [PMID: 37865326 DOI: 10.1016/j.envres.2023.117457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 09/29/2023] [Accepted: 10/18/2023] [Indexed: 10/23/2023]
Abstract
We used black carbon data from a mobile monitoring campaign in Oakland, USA measuring street segments up to 40 times and compared a data-only, LUR model and mixed-model approach with a long-term average, represented by the average concentration based on 40 drive days on that street segment. The mixed model outperformed the data-only and LUR model estimates, with 80% explained variance after 5 drive days and 90% after 14 drive days. The data-only approach needed 8 and 15 to achieve an explained variance of 80% and 90%, respectively, The LUR model never achieved an explained variance higher than 70%. The mixed model is a scalable approach, as it can be used before all street segments in a domain are measured by developing a LUR model and adds information with increasing repeats per street segment.
Collapse
Affiliation(s)
- Jules Kerckhoffs
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands; Julius Centre for Health Sciences and Primary Care, University Medical Centre, University of Utrecht, the Netherlands
| |
Collapse
|
16
|
Wang L, Wen W, Yan J, Zhang R, Li C, Jiang H, Chen S, Pardo M, Zhu K, Jia B, Zhang W, Bai Z, Shi L, Cheng Y, Rudich Y, Morawska L, Chen J. Influence of Polycyclic Aromatic Compounds and Oxidation States of Soot Organics on the Metabolome of Human-Lung Cells (A549): Implications for Vehicle Fuel Selection. Environ Sci Technol 2023; 57:21593-21604. [PMID: 37955649 DOI: 10.1021/acs.est.3c05228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/14/2023]
Abstract
Decades of research have established the toxicity of soot particles resulting from incomplete combustion. However, the unique chemical compounds responsible for adverse health effects have remained uncertain. This study utilized mass spectrometry to analyze the chemical composition of extracted soot organics at three oxidation states, aiming to establish quantitative relationships between potentially toxic chemicals and their impact on human alveolar basal epithelial cells (A549) through metabolomics-based evaluations. Targeted analysis using MS/MS indicated that particles with a medium oxidation state contained the highest total abundance of compounds, particularly oxygen-containing polycyclic aromatic hydrocarbons (OPAHs) composed of fused benzene rings and unsaturated carbonyls, which may cause oxidative stress, characterized by the upregulation of three specific metabolites. Further investigation focused on three specific OPAH standards: 1,4-naphthoquinone, 9-fluorenone, and anthranone. Pathway analysis indicated that exposure to these compounds affected transcriptional functions, the tricarboxylic acid cycle, cell proliferation, and the oxidative stress response. Biodiesel combustion emissions had higher concentrations of PAHs, OPAHs, and nitrogen-containing PAHs (NPAHs) compared with other fuels. Quinones and 9,10-anthraquinone were identified as the dominant compounds within the OPAH category. This knowledge enhances our understanding of the compounds contributing to adverse health effects observed in epidemiological studies and highlights the role of aerosol composition in toxicity.
Collapse
Affiliation(s)
- Lina Wang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
- Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China
| | - Wen Wen
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Jiaqian Yan
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Runqi Zhang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Chunlin Li
- Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Hongxing Jiang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Shaofeng Chen
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Michal Pardo
- Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Ke Zhu
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Boyue Jia
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Wei Zhang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Zhe Bai
- School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China
| | - Longbo Shi
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Yingjun Cheng
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
- Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China
| | - Yinon Rudich
- Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Lidia Morawska
- International Laboratory for Air Quality and Health (ILAQH), School of Earth of Atmospheric Sciences, Queensland University of Technology, Brisbane, Queensland 4001, Australia
| | - Jianmin Chen
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
- Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China
- IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Institute of Atmospheric Sciences, Fudan University, Shanghai 200438, China
| |
Collapse
|
17
|
Friedman C, Dabelea D, Glueck DH, Allshouse WB, Adgate JL, Keller KP, Martenies SE, Magzamen S, Starling AP. Early-life exposure to residential black carbon and childhood cardiometabolic health. Environ Res 2023; 239:117285. [PMID: 37832765 PMCID: PMC10842121 DOI: 10.1016/j.envres.2023.117285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 09/08/2023] [Accepted: 09/30/2023] [Indexed: 10/15/2023]
Abstract
BACKGROUND Early life exposure to air pollution, such as particulate matter ≤2.5 μm (PM2.5), may be associated with obesity and adverse cardiometabolic health outcomes in childhood. However, the toxicity of PM2.5 varies according to its chemical composition. Black carbon (BC) is a constituent of PM2.5, but few studies have examined its impact on childhood cardiometabolic health. Therefore, we examined relationships between prenatal and early childhood exposure to BC and markers of adiposity and cardiometabolic health in early childhood. METHODS This study included 578 mother-child pairs enrolled in the Healthy Start study (2009-2014) living in the Denver-metro area. Using a spatiotemporal prediction model, we assessed average residential black carbon levels during pregnancy and in the year prior to the early childhood follow-up visit at approximately 5 years old. We estimated associations between prenatal and early childhood BC and indicators of adiposity and cardiometabolic biomarkers in early childhood (mean 4.8 years; range, 4.0, 8.3), using linear regression. RESULTS We found higher early childhood BC was associated with higher percent fat mass, fat mass index, insulin, and homeostatic model assessment for insulin resistance (HOMA-IR), and lower leptin and waist circumference at approximately 5 years old, after adjusting for covariates. For example, per interquartile range (IQR) increase in early childhood BC (IQR, 0.49 μg/m3) there was 3.32% higher fat mass (95% CI; 2.05, 4.49). Generally, we did not find consistent evidence of associations between prenatal BC and cardiometabolic health outcomes in early childhood, except for an inverse association between prenatal BC and adiponectin, an adipocyte-secreted hormone typically inversely associated with adiposity. CONCLUSIONS Higher early childhood, but not in utero, ambient concentrations of black carbon, a component of air pollution, were associated with greater adiposity and altered insulin homeostasis at approximately 5 years old. Future studies should examine whether these changes persist later in life.
Collapse
Affiliation(s)
- Chloe Friedman
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Deborah H Glueck
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - William B Allshouse
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - John L Adgate
- Department of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Kayleigh P Keller
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - Sheena E Martenies
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Department of Epidemiology, Colorado School of Public Health, Colorado State University, Fort Collins, CO, USA
| | - Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| |
Collapse
|
18
|
Rönkkö T, Pirjola L, Karjalainen P, Simonen P, Teinilä K, Bloss M, Salo L, Datta A, Lal B, Hooda RK, Saarikoski S, Timonen H. Exhaust particle number and composition for diesel and gasoline passenger cars under transient driving conditions: Real-world emissions down to 1.5 nm. Environ Pollut 2023; 338:122645. [PMID: 37777056 DOI: 10.1016/j.envpol.2023.122645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 09/20/2023] [Accepted: 09/27/2023] [Indexed: 10/02/2023]
Abstract
Recent recommendations given by WHO include systematic measurements of ambient particle number concentration and black carbon (BC) concentrations. In India and several other highly polluted areas, the air quality problems are severe and the need for air quality related information is urgent. This study focuses on particle number emissions and BC emissions of passenger cars that are technologically relevant from an Indian perspective. Particle number and BC were investigated under real-world conditions for driving cycles typical for Indian urban environments. Two mobile laboratories and advanced aerosol and trace gas instrumentation were utilized. Our study shows that passenger cars without exhaust particle filtration can emit in real-world conditions large number of particles, and especially at deceleration a significant fraction of particle number can be even in 1.5-10 nm particle sizes. The mass concentration of exhaust plume particles was dominated by BC that was emitted especially at acceleration conditions. However, exhaust particles contained also organic compounds, indicating the roles of engine oil and fuel in exhaust particle formation. In general, our study was motivated by serious Indian air quality problems, by the recognized lack of emission information related to Indian traffic, and by the recent WHO air quality guidance; our results emphasize the importance of monitoring particle number concentrations and BC also in Indian urban areas and especially in traffic environments where people can be significantly exposed to fresh exhaust emissions.
Collapse
Affiliation(s)
- Topi Rönkkö
- Aerosol Physics Laboratory, Tampere University, Tampere, 33101, Finland.
| | - Liisa Pirjola
- Department of Automotive and Mechanical Engineering, Metropolia University of Applied Sciences, Vantaa, Finland; Institute for Atmospheric and Earth System Research, Faculty of Science, University of Helsinki, Helsinki, Finland
| | - Panu Karjalainen
- Aerosol Physics Laboratory, Tampere University, Tampere, 33101, Finland
| | - Pauli Simonen
- Aerosol Physics Laboratory, Tampere University, Tampere, 33101, Finland
| | - Kimmo Teinilä
- Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland
| | - Matthew Bloss
- Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland
| | - Laura Salo
- Aerosol Physics Laboratory, Tampere University, Tampere, 33101, Finland
| | - Arindam Datta
- The Energy and Resources Institute (TERI), New Delhi, India
| | - Banwari Lal
- The Energy and Resources Institute (TERI), New Delhi, India
| | - Rakesh K Hooda
- Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland
| | - Sanna Saarikoski
- Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland
| | - Hilkka Timonen
- Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland
| |
Collapse
|
19
|
Wei J, Wang J, Li Z, Kondragunta S, Anenberg S, Wang Y, Zhang H, Diner D, Hand J, Lyapustin A, Kahn R, Colarco P, da Silva A, Ichoku C. Long-term mortality burden trends attributed to black carbon and PM 2·5 from wildfire emissions across the continental USA from 2000 to 2020: a deep learning modelling study. Lancet Planet Health 2023; 7:e963-e975. [PMID: 38056967 DOI: 10.1016/s2542-5196(23)00235-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 10/04/2023] [Accepted: 10/12/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND Long-term improvements in air quality and public health in the continental USA were disrupted over the past decade by increased fire emissions that potentially offset the decrease in anthropogenic emissions. This study aims to estimate trends in black carbon and PM2·5 concentrations and their attributable mortality burden across the USA. METHODS In this study, we derived daily concentrations of PM2·5 and its highly toxic black carbon component at a 1-km resolution in the USA from 2000 to 2020 via deep learning that integrated big data from satellites, models, and surface observations. We estimated the annual PM2·5-attributable and black carbon-attributable mortality burden at each 1-km2 grid using concentration-response functions collected from a national cohort study and a meta-analysis study, respectively. We investigated the spatiotemporal linear-regressed trends in PM2·5 and black carbon pollution and their associated premature deaths from 2000 to 2020, and the impact of wildfires on air quality and public health. FINDINGS Our results showed that PM2·5 and black carbon estimates are reliable, with sample-based cross-validated coefficients of determination of 0·82 and 0·80, respectively, for daily estimates (0·97 and 0·95 for monthly estimates). Both PM2·5 and black carbon in the USA showed significantly decreasing trends overall during 2000 to 2020 (22% decrease for PM2·5 and 11% decrease for black carbon), leading to a reduction of around 4200 premature deaths per year (95% CI 2960-5050). However, since 2010, the decreasing trends of fine particles and premature deaths have reversed to increase in the western USA (55% increase in PM2·5, 86% increase in black carbon, and increase of 670 premature deaths [460-810]), while remaining mostly unchanged in the eastern USA. The western USA showed large interannual fluctuations that were attributable to the increasing incidence of wildfires. Furthermore, the black carbon-to-PM2·5 mass ratio increased annually by 2·4% across the USA, mainly due to increasing wildfire emissions in the western USA and more rapid reductions of other components in the eastern USA, suggesting a potential increase in the relative toxicity of PM2·5. 100% of populated areas in the USA have experienced at least one day of PM2·5 pollution exceeding the daily air quality guideline level of 15 μg/m3 during 2000-2020, with 99% experiencing at least 7 days and 85% experiencing at least 30 days. The recent widespread wildfires have greatly increased the daily exposure risks in the western USA, and have also impacted the midwestern USA due to the long-range transport of smoke. INTERPRETATION Wildfires have become increasingly intensive and frequent in the western USA, resulting in a significant increase in smoke-related emissions in populated areas. This increase is likely to have contributed to a decline in air quality and an increase in attributable mortality. Reducing fire risk via effective policies besides mitigation of climate warming, such as wildfire prevention and management, forest restoration, and new revenue generation, could substantially improve air quality and public health in the coming decades. FUNDING National Aeronautics and Space Administration (NASA) Applied Science programme, NASA MODIS maintenance programme, NASA MAIA satellite mission programme, NASA GMAO core fund, National Oceanic and Atmospheric Administration (NOAA) GEO-XO project, NOAA Atmospheric Chemistry, Carbon Cycle, and Climate (AC4) programme, and NOAA Educational Partnership Program with Minority Serving Institutions.
Collapse
Affiliation(s)
- Jing Wei
- Department of Chemical and Biochemical Engineering, Iowa Technology Institute, Center for Global and Regional Environmental Research, University of Iowa, Iowa City, IA, USA; Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA.
| | - Jun Wang
- Department of Chemical and Biochemical Engineering, Iowa Technology Institute, Center for Global and Regional Environmental Research, University of Iowa, Iowa City, IA, USA.
| | - Zhanqing Li
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA.
| | - Shobha Kondragunta
- Center for Satellite Applications and Research, NOAA National Environmental Satellite, Data, and Information Service, College Park, MD, USA
| | - Susan Anenberg
- Department of Environmental and Occupational Health, George Washington University, Washington, DC, USA
| | - Yi Wang
- Department of Chemical and Biochemical Engineering, Iowa Technology Institute, Center for Global and Regional Environmental Research, University of Iowa, Iowa City, IA, USA
| | - Huanxin Zhang
- Department of Chemical and Biochemical Engineering, Iowa Technology Institute, Center for Global and Regional Environmental Research, University of Iowa, Iowa City, IA, USA
| | - David Diner
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
| | - Jenny Hand
- Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, USA
| | - Alexei Lyapustin
- Climate and Radiation Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Ralph Kahn
- Climate and Radiation Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Peter Colarco
- Atmospheric Chemistry and Dynamics Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Arlindo da Silva
- Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, USA
| | - Charles Ichoku
- Department of Geography and Environmental Systems, University of Maryland Baltimore County, Baltimore, MD, USA
| |
Collapse
|
20
|
Goel V, Jain S, Singh V, Kumar M. Source apportionment, health risk assessment, and trajectory analysis of black carbon and light absorption properties of black and brown carbon in Delhi, India. Environ Sci Pollut Res Int 2023; 30:116252-116265. [PMID: 37910356 DOI: 10.1007/s11356-023-30512-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Accepted: 10/12/2023] [Indexed: 11/03/2023]
Abstract
Black Carbon (BC) is an important atmospheric pollutant, well recognized for adverse health and climatic effects. The present work discusses the monthly and seasonal variations of BC sources, health risks, and light absorption properties. The measurement was done from January to December 2021 using a seven wavelength aethalometer. Annual average BC concentration during the study period was 12.2 ± 8.8 μg/m3 (ranged from 1.9 - 52.2 μg/m3). Results represent highest BC concentration during winter (W), followed by post-monsoon (P-M), summer (S), and monsoon (M) seasons where the fossil fuel (FF) combustion is the major source during W, S, and M seasons and biomass burning (BB) during the P-M season. The health risk assessment revealed that individuals in Delhi are exposed to BC levels equivalent to inhaling the smoke from 36 passively smoked cigarettes (PSC) everyday. The risk is highest during W reaching upto 71 PSC and minimum during M i.e., 9 PSC. The light absorption properties were calculated for BC (AbsBC) and Brown carbon (AbsBrC). AbsBC and varied from 229-89 Mm-1 between 370-950 nm and AbsBrC varied from 87-12 Mm-1 between 370-660 nm. AbsBC contributed substantially to total absorption at all wavelengths, while AbsBrC contribution is quite significant in the UV region only. Trajectory analysis confirmed significant influence of regional sources (e.g., biomass-burning aerosols from northwest and east direction) on air quality, health risks, and light absorption properties of BC over Delhi especially during the P-M season. The BB events of Punjab, Haryana, Uttar Pradesh, and eastern Pakistan seems to have significant influence on Delhi's air quality predominantly during P-M season.
Collapse
Affiliation(s)
- Vikas Goel
- Department of Mechanical Engineering, Indian Institute of Technology Delhi, Delhi, 110016, India
- School of Interdisciplinary Research, Indian Institute of Technology Delhi, Delhi, 110016, India
| | - Srishti Jain
- Department of Chemical Engineering, Indian Institute of Technology Delhi, Delhi, 110016, India
| | - Vikram Singh
- Department of Chemical Engineering, Indian Institute of Technology Delhi, Delhi, 110016, India
| | - Mayank Kumar
- Department of Mechanical Engineering, Indian Institute of Technology Delhi, Delhi, 110016, India.
| |
Collapse
|
21
|
Maccarone J, Grady ST, Moy ML, Hart JE, Kang CM, Coull BA, Schwartz JD, Koutrakis P, Zhang J, Garshick E. Indoor (residential) and ambient particulate matter associations with urinary oxidative stress biomarkers in a COPD cohort. Sci Total Environ 2023; 897:165352. [PMID: 37419349 PMCID: PMC10529440 DOI: 10.1016/j.scitotenv.2023.165352] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 06/18/2023] [Accepted: 07/04/2023] [Indexed: 07/09/2023]
Abstract
OBJECTIVES Oxidative stress contributes to chronic obstructive pulmonary disease (COPD) pathophysiology. Associations between indoor (residential) exposure to particulate matter ≤2.5 μm in diameter (PM2.5) and one of its components, black carbon (BC), and oxidative stress are ill-defined. METHODS Between 2012 and 2017, 140 patients with COPD completed in-home air sampling over one week intervals, followed by collection of urine samples to measure oxidative stress biomarkers, malondialdehyde (MDA), a marker of lipid peroxidation, and 8-hydroxy-2' -deoxyguanosine (8-OHdG), a marker of oxidative DNA damage. Ambient (central site) BC and PM2.5 were measured, and the ratio of indoor/ambient sulfur in PM2.5, a surrogate for residential ventilation and particle infiltration, was used to estimate indoor BC and PM2.5 of outdoor origin. Mixed effects linear regression models with a participant-specific random intercept were used to assess associations with oxidative biomarkers, adjusting for personal characteristics. RESULTS There were positive associations (% increase per IQR; 95 % CI) of directly measured indoor BC with total MDA (6.96; 1.54, 12.69) and 8-OHdG (4.18; -0.67, 9.27), and similar associations with both indoor BC of outdoor origin and ambient BC. There were no associations with directly measured indoor PM2.5, but there were positive associations between indoor PM2.5 of outdoor origin and total MDA (5.40; -0.91, 12.11) and 8-OHdG (8.02; 2.14, 14.25). CONCLUSIONS In homes with few indoor combustion sources, directly measured indoor BC, estimates of indoor BC and PM2.5 of outdoor origin, and ambient BC, were positively associated with urinary biomarkers of oxidative stress. This suggests that the infiltration of particulate matter from outdoor sources, attributable to traffic and other sources of combustion, promotes oxidative stress in COPD patients.
Collapse
Affiliation(s)
- Jennifer Maccarone
- VA Boston Healthcare System, Boston, MA, USA; The Pulmonary Center, Boston University School of Medicine, Boston, MA, USA.
| | | | - Marilyn L Moy
- VA Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Jaime E Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Brent A Coull
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Joel D Schwartz
- Harvard Medical School, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Junfeng Zhang
- Nicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, NC, USA
| | - Eric Garshick
- VA Boston Healthcare System, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| |
Collapse
|
22
|
Logesh B, Karthik V, Bhaskar BV, Ebenezer E, Kumar MA. Implications of equivalent black carbon heterogeneity in south Indian high-altitude eco-sensitive region. Environ Monit Assess 2023; 195:1374. [PMID: 37880449 DOI: 10.1007/s10661-023-11957-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 10/05/2023] [Indexed: 10/27/2023]
Abstract
Large-scale representative source apportionment studies are uncommon, undermining source contribution studies in India, particularly in high-altitude locations. Kodaikanal is a high-altitude region in India's Western Ghats, with spatial heterogeneity of sources altering chemical complexity; thus, the associated implications are unknown. We conducted the campaign study REBER (Research on Equivalent Black Carbon Monitoring in an Eco-sensitive Region) at three Kodaikanal sites to understand local point sources, characteristics, and distribution of eBC during the winter-to-summer monsoon transition. For two main reasons: to understand the seasonal change of BC since the transition period has the lowest wind speeds and the highest particulate concentrations and is prone to high pollution events most often during seasonal transition months, and to study local pollution since the meridional monsoon and zonal winds in study region weaken whereby the transport of pollutants from ocean to land and vice versa is minimal. The results showed that the eBC mass concentration was 85% higher than in the previous study conducted by Bhaskar et al. (2018) during the monsoon transition period. To determine the ratio of fossil fuel and wood-burning sources, a real-time apportionment model of atmospheric eBC is used. The percentage of wood burning in the background location ranges from 21.12 to 88.98%. Wood burning leads in residential sites with 57.5 ± 7.3%, whereas fossil fuel contribution dominates traffic sites with 69.84 ± 10.2%. Fossil fuel contributions are significant in different characteristics of environments, ranging from 42.5 to 69.84%. The results of the conditional bivariate probability function (CBPF) analysis pointed out a competition between anthropogenic and natural sources to contribute as local sources to the monitoring stations. A scanning electron microscope (SEM) paired with an energy dispersive X-ray (EDX) analysis found that the particle size was 93% relatively large compared to other hill stations in India. The variation in the chemical constituents indicates that the particles originated from various sources.
Collapse
Affiliation(s)
- B Logesh
- Department of Bioenergy, School of Energy, Environment and Natural Resources, Madurai Kamaraj University, Madurai, 625021, India
| | - V Karthik
- Department of Bioenergy, School of Energy, Environment and Natural Resources, Madurai Kamaraj University, Madurai, 625021, India
| | - B Vijay Bhaskar
- Department of Bioenergy, School of Energy, Environment and Natural Resources, Madurai Kamaraj University, Madurai, 625021, India.
| | - E Ebenezer
- Kodaikanal Solar Observatory, Indian Institute of Astrophysics, Kodaikanal, Dindigul, India
| | - M Arun Kumar
- Advanced Environmental Laboratory, Tamil Nadu Pollution Control Board, Coimbatore, 641114, India
| |
Collapse
|
23
|
Wang H, Zhang S, Wu X, Wen Y, Li Z, Wu Y. Emission Measurements on a Large Sample of Heavy-Duty Diesel Trucks in China by Using Mobile Plume Chasing. Environ Sci Technol 2023; 57:15153-15161. [PMID: 37750423 DOI: 10.1021/acs.est.3c03028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
Real-world heavy-duty diesel trucks (HDTs) were found to emit far more excess nitrogen oxides (NOX) and black carbon (BC) pollutants than regulation limits. It is essential to systematically evaluate on-road NOX and BC emission levels for mitigating HDT emissions. This study launched 2109 plume chasing campaigns for NOX and BC emissions of HDTs across several regions in China from 2017 to 2020. It was found that NOX emissions had limited reductions from China III to China V, while BC emissions of HDTs exhibited high reductions with stricter emission standard implementation. This paper showed that previous studies underestimated 18% of NOX emissions in China in 2019 and nearly half of the real-world NOX emissions from HDTs (determined by updating the emission trends of HDTs) exceeded the regulation limits. Furthermore, the ambient temperature was identified as a primary driver of NOX emissions for HDTs, and the low-temperature penalty has caused a 9-29% increase in NOX emissions in winter in major regions of China. These results would provide important data support for the precise control of the NOX and BC emissions from HDTs.
Collapse
Affiliation(s)
- Hui Wang
- School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, PR China
| | - Shaojun Zhang
- School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, PR China
- State Environmental Protection Key Laboratory of Sources and Control of Ambient Pollution Complex, Beijing 100084, PR China
- Beijing Laboratory of Environmental Frontier Technologies, School of Environment, Tsinghua University, Beijing 100084, China
| | - Xiaomeng Wu
- School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, PR China
| | - Yifan Wen
- School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, PR China
| | - Zhenhua Li
- School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, PR China
| | - Ye Wu
- School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084, PR China
- State Environmental Protection Key Laboratory of Sources and Control of Ambient Pollution Complex, Beijing 100084, PR China
- Beijing Laboratory of Environmental Frontier Technologies, School of Environment, Tsinghua University, Beijing 100084, China
| |
Collapse
|
24
|
Chen P, Li Y, Zhang Y, Xue C, Hopke PK, Li X. Dynamic Changes of Composition of Particulate Matter Emissions during Residential Biomass Combustion. Environ Sci Technol 2023; 57:15193-15202. [PMID: 37747327 DOI: 10.1021/acs.est.3c05412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Residential biomass combustion in developing countries produces significant primary particulate matter (PM) emissions. Highly time-resolved aerosol mass spectrometry and aethalometer measurements were used to investigate the dynamic changes of emitted PM chemical composition from a typical improved stove burning with wood and crop straw in China. Combustion temperature and organic aerosol (OA) concentration increased quickly during the ignition stage. The flaming stage was characterized by high combustion temperature and high pollutant [including OA, black carbon (BC), inorganic salts, and polycyclic aromatic hydrocarbons (PAHs)] emissions, while the burnout stage is characterized by low combustion temperature and lower pollutant emissions. OA was the primary emitted species; emission factors of OA in the flaming stage were generally higher (24.5-792%) than those in the burnout stage. Mass spectral signatures of OA were obtained. The ratio of Cl-/OA for wood combustion (0.05 ± 0.01) is much lower than that from burning crop straw (0.32 ± 0.19). Hydrocarbon OA emissions dominated during the ignition and flaming stages. A high percentage of oxidized OA was emitted during the burnout stage. The relationship between PAHs and BC/OA emissions under different burning conditions was investigated, and PAHs may act as intermediate products in the conversion of OA to BC.
Collapse
Affiliation(s)
- Peng Chen
- School of Energy and Power Engineering, Beihang University, Beijing 100191, China
| | - Youxuan Li
- School of Energy and Power Engineering, Beihang University, Beijing 100191, China
| | - Yangmei Zhang
- State Key Laboratory of Severe Weather/Key Laboratory of Atmospheric Chemistry of China Meteorological Administration, Chinese Academy of Meteorological Sciences, Beijing 100081, China
| | - Chunyu Xue
- College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, China
| | - Philip K Hopke
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, New York 14642, United States
- Center for Air Resources Engineering and Science, Clarkson University, Potsdam, New York 13699, United States
| | - Xinghua Li
- School of Energy and Power Engineering, Beihang University, Beijing 100191, China
| |
Collapse
|
25
|
Li H, Zhang R, Yan A, Xie W, Wang M, Yu K. Black Carbon in Deep-Sea Seamount Sediment Cores: Vertical Variation and Non-negligible Char Black Carbon. Environ Sci Technol 2023; 57:14602-14610. [PMID: 37713478 DOI: 10.1021/acs.est.3c04208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/17/2023]
Abstract
Deep-sea sediments (>1000 m) are often considered to be the ultimate sink for black carbon (BC), and the long-term buried BC in these sediments is believed to potentially provide a negative feedback effect on climate warming. The burial flux of BC in marine sediments is predominantly estimated based on soot BC (SBC) in most studies, frequently ignoring the contribution of char BC (CBC). While this methodology may result in an underestimation of the BC burial flux, the precise extent of this underestimation is yet to be determined. This study used the benzene poly(carboxylic acid) (BPCA) method and chemothermal oxidation (CTO) method to analyze CBC and SBC in four deep-sea sediment cores from the Zhongnan seamount in the South China Sea, respectively. The CBC content increased from 0.026 ± 0.010% at the seamount upper part (1432 m) to 0.039 ± 0.012% at the seamount foot (4278 m), constituting approximately 25 to 42% of the SBC content. The content disparity between CBC and SBC diminishes as depth increases. In deep-sea sediments, biogeochemical factors influence the variation of CBC molecules with depth. In the seamount middle-upper part (1432 and 2465 m), highly condensed CBC gradually accumulated along the core downward profile. In the sediment core profile of the seamount middle-lower part (3497 m), benzenetricarboxylic acid and benzenetetracarboxylic acid content decreased while the BC condensation degree rose, i.e., less condensed CBC was preferentially consumed. Afterward, CBC molecules reached a relatively stable state at the seamount foot. This study reveals that CBC possesses the capacity for long-term carbon sequestration in deep-sea sediments, and its content is not negligible.
Collapse
Affiliation(s)
- Haolan Li
- Guangxi Laboratory on the Study of Coral Reefs in the South China Sea, Coral Reef Research Center of China, School of Marine Sciences, Guangxi University, School of Resources, Environment and Materials, Guangxi University, Nanning 530004, China
| | - Ruijie Zhang
- Guangxi Laboratory on the Study of Coral Reefs in the South China Sea, Coral Reef Research Center of China, School of Marine Sciences, Guangxi University, School of Resources, Environment and Materials, Guangxi University, Nanning 530004, China
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519080, China
| | - Annan Yan
- Guangxi Laboratory on the Study of Coral Reefs in the South China Sea, Coral Reef Research Center of China, School of Marine Sciences, Guangxi University, School of Resources, Environment and Materials, Guangxi University, Nanning 530004, China
| | - Wei Xie
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519080, China
| | - Mengyuan Wang
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519080, China
| | - Kefu Yu
- Guangxi Laboratory on the Study of Coral Reefs in the South China Sea, Coral Reef Research Center of China, School of Marine Sciences, Guangxi University, School of Resources, Environment and Materials, Guangxi University, Nanning 530004, China
- Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519080, China
| |
Collapse
|
26
|
Kaur P, Dhar P, Bansal O, Singh D, Guha A. Temporal variability, meteorological influences, and long-range transport of atmospheric aerosols over two contrasting environments Agartala and Patiala in India. Environ Sci Pollut Res Int 2023; 30:102687-102707. [PMID: 37668783 DOI: 10.1007/s11356-023-29580-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Accepted: 08/25/2023] [Indexed: 09/06/2023]
Abstract
The present study focused on the temporal variability, meteorological influences, potential sources, and long-range transport of atmospheric aerosols over two contrasting environments during 2011-2013. We have chosen Agartala (AGR) city in Northeast India as one of our sites representing the rural-continental environment and Patiala (PTA) as an urban site in Northwest India. The seasonal averaged equivalent black carbon (eBC) concentration in AGR ranges from 1.55 to 38.11 µg/m3 with an average value of 9.87 ± 8.17 µg/m3, whereas, at an urban location, PTA value ranges from 1.30 to 15.57 µg/m3 with an average value of 7.83 ± 3.51 µg/m3. The annual average eBC concentration over AGR was observed to be ~ 3 times higher than PTA. Two diurnal peaks (morning and evening) in eBC have been observed at both sites but were observed to be more prominent at AGR than at PTA. Spectral aerosol optical depth (AOD) has been observed to be in the range from 0.33 ± 0.09 (post-monsoon) to 0.85 ± 0.22 (winter) at AGR and 0.47 ± 0.04 (pre-monsoon) to 0.74 ± 0.09 (post-monsoon) at PTA. The concentration of eBC and its diurnal and seasonal variation indicates the primary sources of eBC as local sources, synoptic meteorology, planetary boundary layer (PBL) dynamics, and distant transportation of aerosols. The wintertime higher values of eBC at AGR than at PTA are linked with the transportation of eBC from the Indo-Gangetic Plain (IGP). Furthermore, it is evident that eBC aerosols are transported from local and regional sources, which is supported by concentration-weighted trajectory (CWT) analysis results.
Collapse
Affiliation(s)
- Parminder Kaur
- Department of Physics, Tripura University, West Tripura, Agartala, 799022, Tripura, India
| | - Pranab Dhar
- Department of Physics, Tripura University, West Tripura, Agartala, 799022, Tripura, India
| | - Onam Bansal
- Department of Civil Engineering, Indian Institute of Technology, Kanpur, Uttar Pradesh, India
| | - Darshan Singh
- Department of Physics, Punjabi University, Patiala, Punjab, India
| | - Anirban Guha
- Department of Physics, Tripura University, West Tripura, Agartala, 799022, Tripura, India.
| |
Collapse
|
27
|
Shen LT, Ge MW, Hu FH, Jia YJ, Tang W, Zhang WQ, Zhao DY, Shen WQ, Chen HL. The connection between six common air pollution particles and adult brain tumors: a meta-analysis of 26,217,930 individuals. Environ Sci Pollut Res Int 2023; 30:108525-108537. [PMID: 37783991 DOI: 10.1007/s11356-023-29955-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 09/14/2023] [Indexed: 10/04/2023]
Abstract
Environmental air pollutants (black carbon (BC), nitrogen oxides (NOx), particulate matter with diameter < 2.5 μm (PM2.5), nitrogen dioxide (NO2), particulate matter with diameter <10 μm (PM10), and ozone (O3)) are one of the major menaces to mankind's health globally. This analysis reviews the association between exposure to these air pollutants and the chance of developing brain tumors in adults (total brain tumors, malignant brain tumors, and benign brain tumors). Studies published by April 2022 were searched. Raw effect sizes were converted to standardized effect sizes per 10 μg/m3 increase. Random effect models were applied to calculate combined effect size and 95% confidence intervals (CIs) were computed. A total of 8 articles were included for meta-analysis. The pooled effect size (ES) for per 10 μg/m3 BC intake was 1.67 (95% CI: 1.25, 2.22), P = 0.449. For every 10 μg/m3 rise in NO2 concentration, ES was 1.03 (95% CI: 1.01, 1.05), P = 0.319. Meanwhile, there was a boundary association between NOx and adult brain tumors (ES and 95% CI: 1.01; 1.00, 1.01/10 μg/m3; P = 0.716). While there was no conjunction between PM2.5, PM10, O3 (PM2.5: ES and 95% CI: 1.04; 0.99, 1.08/10 μg/m3; P = 0.834; PM10: ES and 95% CI: 1.01; 0.97, 1.04/10 μg/m3; P = 0.627; O3: ES and 95% CI: 0.97; 0.94, 1.00/10 μg/m3; P = 0.253). This research shows testimony of a significant link between air pollutants and brain tumors in adults, especially when exposed to BC, NO2, and NOx. This evidence emphasizes the importance of improving air quality as part of a comprehensive approach to prevent the occurrence and deterioration of brain tumors.
Collapse
Affiliation(s)
- Lu-Ting Shen
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Meng-Wei Ge
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Fei-Hong Hu
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Yi-Jie Jia
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Wen Tang
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Wan-Qing Zhang
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Dan-Yan Zhao
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Wang-Qin Shen
- School of Medicine, Nantong University, Nantong, Jiangsu, People's Republic of China
| | - Hong-Lin Chen
- School of Public Health, Nantong University, Nantong, Jiangsu, People's Republic of China.
| |
Collapse
|
28
|
Li J, Tang W, Li S, He C, Dai Y, Feng S, Zeng C, Yang T, Meng Q, Meng J, Pan Y, Deji S, Zhang J, Xie L, Guo B, Lin H, Zhao X. Ambient PM2.5 and its components associated with 10-year atherosclerotic cardiovascular disease risk in Chinese adults. Ecotoxicol Environ Saf 2023; 263:115371. [PMID: 37643506 DOI: 10.1016/j.ecoenv.2023.115371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 08/11/2023] [Accepted: 08/12/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND Exposure to particulate matter with aerodynamic diameters less than 2.5 µm (PM2.5) may increase the risk of 10-year atherosclerotic cardiovascular disease (ASCVD) risk. While PM2.5 is comprised of various components, the evidence on the correlation of its components with 10-year ASCVD risk and which component contributes most remains limited. METHODS Data were derived from the baseline assessments of China Multi-Ethnic Cohort (CMEC). In total, 69,722 individuals aged 35-74 years were included into this study. The annual average concentration of PM2.5 and its components (black carbon, ammonium, nitrate, sulfate, organic matter, soil particles, and sea salt) were estimated by satellite remote sensing and chemical transport models. The ASCVD risk of individuals was calculated by the equations from the China-PAR Project (prediction for ASCVD risk in China). The relationship between single exposure to PM2.5 and its components and predicted 10-year ASCVD risk was assessed using the logistic regression model. The effect of joint exposure was estimated, and the most significant contributor was identified using the weighted quantile sum approach. RESULTS Totally 69,722 participants were included, of which 95.8 % and 4.2 % had low and high 10-year ASCVD risk, respectively. Per standard deviation increases in the 3-year average concentration of PM2.5 mass (odds ratio [OR] 1.23, 95 % confidence interval [CI]: 1.12-1.35), black carbon (1.21, 1.11-1.33), ammonium (1.21, 1.10-1.32), nitrate (1.25, 1.14-1.38), organic matter (1.29, 1.18-1.42), sulfate (1.17, 1.07-1.28), and soil particles (1.15, 1.04-1.26) were related to high 10-year ASCVD risk. The overall effect (1.19, 1.11-1.28) of the PM2.5 components was positively associated with 10-year ASCVD risk, and organic matter had the most contribution to this relationship. Female participants were more significantly impacted by PM2.5, black carbon, ammonium, nitrate, organic matter, sulfate, and soil particles compared to others. CONCLUSION Long-term exposure to PM2.5 mass, black carbon, ammonium, nitrate, organic matter, sulfate, and soil particles were positively associated with high 10-year ASCVD risk, while sea salt exhibited a protective effect. Moreover, the organic matter might take primary responsibility for the relationship between PM2.5 and 10-year ASCVD risk. Females were more susceptible to the adverse effect.
Collapse
Affiliation(s)
- Jiawei Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Wenge Tang
- Chongqing Center for Disease Control and Prevention, Chongqing 400042, China
| | - Sicheng Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Congyuan He
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Yucen Dai
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Shiyu Feng
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Chunmei Zeng
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Tingting Yang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China
| | - Qiong Meng
- Department of Epidemiology and Health Statistics, School of Public Health, Kunming Medical University, Kunming, Yunnan 850000, China
| | - Jiantong Meng
- Chengdu Center for Disease Control & Prevention, Chengdu, Sichuan 610041, China
| | | | - Suolang Deji
- Tibet Center for Disease Control and Prevention CN, Lhasa 850000, China
| | - Juying Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Linshen Xie
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
| | - Bing Guo
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| |
Collapse
|
29
|
Singh P, Vaishya A, Rastogi S. Investigating changes in atmospheric aerosols properties over the Indo-Gangetic Plain during different phases of COVID-19-induced lockdowns. Environ Sci Pollut Res Int 2023; 30:100215-100232. [PMID: 37632617 DOI: 10.1007/s11356-023-29449-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 08/18/2023] [Indexed: 08/28/2023]
Abstract
Impact of COrona VIrus Diseases 2019 (COVID-19) restrictive measures on aerosol optical depth (AOD) and black carbon (BC) concentration is investigated for the western, central, and eastern Indo-Gangetic Plain (IGP) using satellite-based observations. Due to COVID-19-induced lockdown measures, a noticeable decline in AOD and BC concentrations was observed across the IGP when compared to pre-lockdown period of 2020 and the lockdown concurrent period of 2015-2019. During the total lockdown period, a maximum drop in AOD and BC was observed in the central IGP (26.5 % and 10.1 %), followed by western IGP (24.9% and 5.2%) and eastern IGP (23.2 % and 4.9 %) with respect to the same period of 2015-2019. We have removed seasonal influences on aerosol properties during the COVID-19 lockdown, by taking average seasonal variations during the period of 2015-2019 as reference and projecting the hypothetical AOD and BC for the lockdown period under normal scenario. The difference between the hypothetical AOD and BC (under normal scenario) and the retrieved AOD and BC for the lockdown period is the absolute percentage change in AOD and BC concentration due to the lockdown alone. This elimination of seasonal influence is a novel approach. Central IGP showed an absolute decrease in AOD and BC of 38.5% and 18.2% during the lockdown period followed by western IGP (34.6% and 7.7%) and eastern IGP (25.9% and 11.5%). The observed absolute reduction in AOD, 26-39 %, is significantly higher than the global average reduction in AOD of 2-5%. CALIPSO-derived aerosol sub-types over major location of the western, central, and eastern IGP suggests prevalence of anthropogenic activities during pre- and post-lockdown periods. During the lockdown, IGP was influenced by aerosols from natural sources, with mineral dust and polluted dust in the western and central IGP, and aerosols from marine regions in the eastern IGP. Replenishment of aerosols within the boundary layer were far quicker when compared to total column during post-lockdown. Overall, the study reveals a reduction in anthropogenic emissions during the COVID-19-induced lockdowns, leading to temporary improvements in air quality over the IGP. Our study presents a comprehensive analysis of COVID-19 lockdown impact on aerosols properties over the IGP and highlights unprecedented reductions in AOD (~ 40 %) and BC (~ 20 %), due to imposition of lockdown and subsequent cessation of aerosol sources, by removing seasonal influences.
Collapse
Affiliation(s)
- Prayagraj Singh
- Department of Physics, Deen Dayal Upadhyaya Gorakhpur University, Gorakhpur, 273009, India
| | - Aditya Vaishya
- School of Arts and Sciences, Ahmedabad University, Ahmedabad, 380 009, India.
- Global Centre for Environment and Energy, Ahmedabad University, Ahmedabad, 380 009, India.
| | - Shantanu Rastogi
- Department of Physics, Deen Dayal Upadhyaya Gorakhpur University, Gorakhpur, 273009, India
| |
Collapse
|
30
|
Min K, Deng S, Shu Z, Li Y, Chen B, Ma M, Liu Q, Jiang G. Monitoring the adsorption of per- and polyfluoroalkyl substances on carbon black by LDI-MS capable of simultaneous analysis of elemental and organic carbon. Environ Sci Process Impacts 2023; 25:1311-1321. [PMID: 37525938 DOI: 10.1039/d3em00129f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/02/2023]
Abstract
Elemental carbon (EC) and organic carbon (OC) exist ubiquitously and interact mutually in the environment. Simultaneous analysis of EC and OC will greatly advance our understanding of the behavior and fate of EC and OC, but is however still a great challenge due to the lack of suitable analytical tools. Here, we report a matrix-free laser desorption/ionization mass spectrometry (LDI-MS) method capable of simultaneous analysis of EC and OC by monitoring two independent groups of specific MS fingerprint peaks. We found that EC itself can generate carbon cluster peaks in the low mass range under laser excitation, and meanwhile it can also serve as a matrix to assist the ionization of OC in LDI-MS. By using per- and polyfluoroalkyl substances (PFASs) as a typical set of OC and carbon black (CB) as a model EC, we successfully monitored the adsorption process of PFASs on CB enabled by LDI-MS. We show that hydrophobic interaction dominates the sorption of PFASs to CB, which was affected by the functional groups and carbon chain length of PFASs. Furthermore, environmental substances in water such as humic acid (HA) and surfactants can significantly affect the adsorption of PFASs on CB probably by changing the adsorption sites of CB. Overall, we demonstrate that LDI-MS offers a versatile and high-throughput tool for simultaneous analysis of EC and OC species in real environmental samples, which makes it promising for investigating the environmental behaviors and ecological risks of pollutants.
Collapse
Affiliation(s)
- Ke Min
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
- Key Laboratory of Phytochemical R&D of Hunan Province, Ministry of Education Key Laboratory of Chemical Biology & Traditional Chinese Medicine Research, Hunan Normal University, Changsha 410081, China
| | - Shenxi Deng
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
| | - Zhao Shu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
| | - Yong Li
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
- National Engineering Laboratory for Applied Forest Ecological Technology in Southern China, Faculty of Life Science and Technology, Central South University of Forestry and Technology, Changsha 410004, China
| | - Bo Chen
- Key Laboratory of Phytochemical R&D of Hunan Province, Ministry of Education Key Laboratory of Chemical Biology & Traditional Chinese Medicine Research, Hunan Normal University, Changsha 410081, China
| | - Ming Ma
- Key Laboratory of Phytochemical R&D of Hunan Province, Ministry of Education Key Laboratory of Chemical Biology & Traditional Chinese Medicine Research, Hunan Normal University, Changsha 410081, China
| | - Qian Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
- Taishan Institute for Ecology and Environment (TIEE), Jinan 250100, China
| | - Guibin Jiang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
| |
Collapse
|
31
|
Huang Y, Wu S, Luo H, Yang Y, Xu J, Zhang Y, Wang Q, Shen H, Zhang Y, Yan D, Jiang L, Zhang H, Chen R, Kan H, Cai J, He Y, Ma X. Association of Fine Particulate Matter and Its Components with Macrosomia: A Nationwide Birth Cohort Study of 336 Chinese Cities. Environ Sci Technol 2023; 57:11465-11475. [PMID: 37493575 DOI: 10.1021/acs.est.3c03280] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Abstract
To examine the associations between macrosomia risk and exposure to fine particulate matter (PM2.5) and its chemical components during pregnancy, we collected birth records between 2010 and 2015 in mainland China from the National Free Preconception Health Examination Project and used satellite-based models to estimate concentrations of PM2.5 mass and five main components, namely, black carbon (BC), organic carbon (OC), nitrate (NO3-), sulfate (SO42-), and ammonium (NH4+). Associations between macrosomia risk and prenatal exposure to PM2.5 were examined by logistic regression analysis, and the sensitive subgroups were explored by stratified analyses. Of the 3,248,263 singleton newborns from 336 cities, 165,119 (5.1%) had macrosomia. Each interquartile range increase in concentration of PM2.5 during the entire pregnancy was associated with increased risk of macrosomia (odds ratio (OR) = 1.18; 95% confidence interval (CI), 1.17-1.20). Among specific components, the largest effect estimates were found on NO3- (OR = 1.36; 95% CI, 1.35-1.38) followed by OC (OR = 1.23; 95% CI, 1.22-1.24), NH4+ (OR = 1.22; 95% CI, 1.21-1.23), and BC (OR = 1.21; 95% CI, 1.20-1.22). We also that found boys, women with a normal or lower prepregnancy body mass index, and women with irregular or no folic acid supplementation experienced higher risk of macrosomia associated with PM2.5 exposure.
Collapse
Affiliation(s)
- Yuxin Huang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Shenpeng Wu
- National Human Genetic Resources Center, National Research Institute for Family Planning, Beijing 100081, China
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Huihuan Luo
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Ying Yang
- National Human Genetic Resources Center, National Research Institute for Family Planning, Beijing 100081, China
| | - Jihong Xu
- National Human Genetic Resources Center, National Research Institute for Family Planning, Beijing 100081, China
| | - Ya Zhang
- National Human Genetic Resources Center, National Research Institute for Family Planning, Beijing 100081, China
| | - Qiaomei Wang
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing 100088, China
| | - Haiping Shen
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing 100088, China
| | - Yiping Zhang
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing 100088, China
| | - Donghai Yan
- Department of Maternal and Child Health, National Health Commission of the People's Republic of China, Beijing 100088, China
| | - Lifang Jiang
- National Health Commission Key Laboratory of Birth Defects Prevention, Henan Key Laboratory of Population Defects Prevention, Henan 450002, China
| | - Hongping Zhang
- Wenzhou People's Hospital/Wenzhou Maternal and Child Health Care Hospital/The Third Clinical Institute Affiliated to Wenzhou Medical University/The Third Affiliated Hospital of Shanghai University, Wenzhou, Zhejiang 325000, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Jing Cai
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
| | - Yuan He
- National Human Genetic Resources Center, National Research Institute for Family Planning, Beijing 100081, China
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - Xu Ma
- National Human Genetic Resources Center, National Research Institute for Family Planning, Beijing 100081, China
- Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| |
Collapse
|
32
|
Zhang JJ, Zheng Y, Vermeulen R, Liu XL, Dai Y, Hu W, He L, Lin Y, Ren D, Duan H, Niu Y, Xu J, Fu W, Meliefste K, Zhou B, Yang J, Ye M, Jia X, Meng T, Bin P, Bassig BA, Hosgood HD, Silverman D, Lan Q, Rothman N. Urinary Amino-PAHs in relation to diesel engine emissions and urinary mutagenicity. Int J Hyg Environ Health 2023; 253:114223. [PMID: 37557062 PMCID: PMC10529049 DOI: 10.1016/j.ijheh.2023.114223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 06/22/2023] [Accepted: 07/12/2023] [Indexed: 08/11/2023]
Abstract
Diesel exhaust has long been of health concern due to established toxicity including carcinogenicity in humans. However, the precise components of diesel engine emissions that drive carcinogenesis are still unclear. Limited work has suggested that nitrated polycyclic aromatic hydrocarbons (NPAHs) such as 1-nitropyrene and 2-nitrofluorene may be more abundant in diesel exhaust. The present study aimed to examine whether urinary amino metabolites of these NPAHs were associated with high levels of diesel engine emissions and urinary mutagenicity in a group of highly exposed workers including both smokers and nonsmokers. Spot urine samples were collected immediately following a standard work shift from each of the 54 diesel engine testers and 55 non-tester controls for the analysis of five amino metabolites of NPAHs, and cotinine (a biomarker of tobacco smoke exposure) using liquid chromatography-mass spectrometry. An overnight urine sample was collected in a subgroup of non-smoking participants for mutagenicity analysis using strain YG1041 in the Salmonella (Ames) mutagenicity assay. Personal exposure to fine particles (PM2.5) and more-diesel-specific constituents (elemental carbon and soot) was assessed for the engine testers by measuring breathing-zone concentrations repeatedly over several full work shifts. Results showed that it was 12.8 times more likely to detect 1-aminopyrene and 2.9 times more likely to detect 2-aminofluorene in the engine testers than in unexposed controls. Urinary concentrations of 1-aminopyrene were significantly higher in engine testers (p < 0.001), and strongly correlated with soot and elemental carbon exposure as well as mutagenicity tested in strain YG1041 with metabolic activation (p < 0.001). Smoking did not affect 1-aminopyrene concentrations and 1-aminopyrene relationships with diesel exposure. In contrast, both engine emissions and smoking affected 2-aminofluorene concentrations. The results confirm that urinary 1-aminopyrene may serve as an exposure biomarker for diesel engine emissions and associated mutagenicity.
Collapse
Affiliation(s)
- Junfeng Jim Zhang
- Nicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, NC, USA; Duke Kunshan University, Kunshan City, Jiangsu Province, China.
| | - Yuxin Zheng
- School of Public Health, Qingdao University, China
| | | | - Xing Lucy Liu
- Nicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, NC, USA
| | - Yufei Dai
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Linchen He
- Nicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, NC, USA; College of Health, Lehigh University, Bethlehem, PA, USA
| | - Yan Lin
- Nicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, NC, USA
| | - Dianzhi Ren
- Chaoyang Center for Disease Control and Prevention, Chaoyang, China
| | - Huawei Duan
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yong Niu
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jun Xu
- Hong Kong University, Hong Kong
| | - Wei Fu
- Chaoyang Center for Disease Control and Prevention, Chaoyang, China
| | | | | | - Jufang Yang
- Chaoyang Center for Disease Control and Prevention, Chaoyang, China
| | - Meng Ye
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaowei Jia
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tao Meng
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ping Bin
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - H Dean Hosgood
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA; Division of Epidemiology, Albert Einstein College of Medicine, New York, USA
| | - Debra Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| |
Collapse
|
33
|
Luo J, Zhang H, Liu Z, Zhang Z, Pan Y, Liang X, Wu S, Xu H, Xu S, Jiang C. A review of regeneration mechanism and methods for reducing soot emissions from diesel particulate filter in diesel engine. Environ Sci Pollut Res Int 2023; 30:86556-86597. [PMID: 37421534 DOI: 10.1007/s11356-023-28405-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 06/19/2023] [Indexed: 07/10/2023]
Abstract
With the global emphasis on environmental protection and the proposal of the climate goal of "carbon neutrality," countries around the world are calling for reductions in carbon dioxide, nitrogen oxide, and particulate matter pollution. These pollutants have severe impacts on human lives and should be effectively controlled. Engine exhaust is the most serious pollution source, and diesel engine is an important contributor to particulate matter. Diesel particulate filter (DPF) technology has proven to be an effective technology for soot control at the present and in the future. Firstly, the exacerbating effect of particulate matter on human infectious disease viruses is discussed. Then, the latest developments in the influence of key factors on DPF performance are reviewed at different observation scales (wall, channel, and entire filter). In addition, current soot catalytic oxidant schemes are presented in the review, and the significance of catalyst activity and soot oxidation kinetic models are highlighted. Finally, the areas that need further research are determined, which has important guiding significance for future research. Current catalytic technologies are focused on stable materials with high mobility of oxidizing substances and low cost. The challenge of DPF optimization design is to accurately calculate the balance between soot and ash load, DPF regeneration control strategy, and exhaust heat management strategy.
Collapse
Affiliation(s)
- Jianbin Luo
- School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, 545006, Liuzhou, China
| | - Haiguo Zhang
- School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, 545006, Liuzhou, China
| | - Zhonghang Liu
- School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, 545006, Liuzhou, China
| | - Zhiqing Zhang
- School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, 545006, Liuzhou, China.
| | - Yajuan Pan
- School of Mechanical Engineering, Liuzhou Institute of Technology, Liuzhou, 545616, China
| | - Xiguang Liang
- Liuzhou Jindongfang Automotive Parts Co., Ltd., Liuzhou, 545036, China
| | - Shizhuo Wu
- Liuzhou Branch, Aisn AUTO R&D Co., Ltd., Liuzhou, 545616, China
| | - Hongxiang Xu
- School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, 545006, Liuzhou, China
| | - Song Xu
- School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, 545006, Liuzhou, China
| | - Chunmei Jiang
- Institute of the New Energy and Energy-Saving & Emission-Reduction, Guangxi University of Science and Technology, Liuzhou, 545006, China
| |
Collapse
|
34
|
Savadkoohi M, Pandolfi M, Reche C, Niemi JV, Mooibroek D, Titos G, Green DC, Tremper AH, Hueglin C, Liakakou E, Mihalopoulos N, Stavroulas I, Artiñano B, Coz E, Alados-Arboledas L, Beddows D, Riffault V, De Brito JF, Bastian S, Baudic A, Colombi C, Costabile F, Chazeau B, Marchand N, Gómez-Amo JL, Estellés V, Matos V, van der Gaag E, Gille G, Luoma K, Manninen HE, Norman M, Silvergren S, Petit JE, Putaud JP, Rattigan OV, Timonen H, Tuch T, Merkel M, Weinhold K, Vratolis S, Vasilescu J, Favez O, Harrison RM, Laj P, Wiedensohler A, Hopke PK, Petäjä T, Alastuey A, Querol X. The variability of mass concentrations and source apportionment analysis of equivalent black carbon across urban Europe. Environ Int 2023; 178:108081. [PMID: 37451041 DOI: 10.1016/j.envint.2023.108081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 06/29/2023] [Accepted: 06/30/2023] [Indexed: 07/18/2023]
Abstract
This study analyzed the variability of equivalent black carbon (eBC) mass concentrations and their sources in urban Europe to provide insights into the use of eBC as an advanced air quality (AQ) parameter for AQ standards. This study compiled eBC mass concentration datasets covering the period between 2006 and 2022 from 50 measurement stations, including 23 urban background (UB), 18 traffic (TR), 7 suburban (SUB), and 2 regional background (RB) sites. The results highlighted the need for the harmonization of eBC measurements to allow for direct comparisons between eBC mass concentrations measured across urban Europe. The eBC mass concentrations exhibited a decreasing trend as follows: TR > UB > SUB > RB. Furthermore, a clear decreasing trend in eBC concentrations was observed in the UB sites moving from Southern to Northern Europe. The eBC mass concentrations exhibited significant spatiotemporal heterogeneity, including marked differences in eBC mass concentration and variable contributions of pollution sources to bulk eBC between different cities. Seasonal patterns in eBC concentrations were also evident, with higher winter concentrations observed in a large proportion of cities, especially at UB and SUB sites. The contribution of eBC from fossil fuel combustion, mostly traffic (eBCT) was higher than that of residential and commercial sources (eBCRC) in all European sites studied. Nevertheless, eBCRC still had a substantial contribution to total eBC mass concentrations at a majority of the sites. eBC trend analysis revealed decreasing trends for eBCT over the last decade, while eBCRC remained relatively constant or even increased slightly in some cities.
Collapse
Affiliation(s)
- Marjan Savadkoohi
- Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain; Department of Mining, Industrial and ICT Engineering (EMIT), Manresa School of Engineering (EPSEM), Universitat Politècnica de Catalunya (UPC), 08242, Manresa, Spain.
| | - Marco Pandolfi
- Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain.
| | - Cristina Reche
- Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain
| | - Jarkko V Niemi
- Helsinki Region Environmental Services Authority (HSY), Helsinki, Finland
| | - Dennis Mooibroek
- Centre for Environmental Monitoring, National Institute for Public Health and the Environment (RIVM), the Netherlands
| | - Gloria Titos
- Andalusian Institute for Earth System Research (IISTA-CEAMA), University of Granada, Granada, Spain
| | - David C Green
- MRC Centre for Environment and Health, Environmental Research Group, Imperial College London, UK; NIHR HPRU in Environmental Exposures and Health, Imperial College London, UK
| | - Anja H Tremper
- MRC Centre for Environment and Health, Environmental Research Group, Imperial College London, UK
| | - Christoph Hueglin
- Laboratory for Air Pollution and Environmental Technology, Swiss Federal Laboratories for Materials Science and Technology (Empa), Duebendorf, Switzerland
| | - Eleni Liakakou
- Institute for Environmental Research & Sustainable Development, National Observatory of Athens, Athens, Greece
| | - Nikos Mihalopoulos
- Institute for Environmental Research & Sustainable Development, National Observatory of Athens, Athens, Greece
| | - Iasonas Stavroulas
- Institute for Environmental Research & Sustainable Development, National Observatory of Athens, Athens, Greece
| | - Begoña Artiñano
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Department of Environment, CIEMAT, Madrid, Spain
| | - Esther Coz
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas, Department of Environment, CIEMAT, Madrid, Spain
| | - Lucas Alados-Arboledas
- Andalusian Institute for Earth System Research (IISTA-CEAMA), University of Granada, Granada, Spain
| | - David Beddows
- Division of Environmental Health & Risk Management, School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, UK
| | - Véronique Riffault
- IMT Nord Europe, Institut Mines-Télécom, Univ. Lille, Centre for Energy and Environment, Lille, France
| | - Joel F De Brito
- IMT Nord Europe, Institut Mines-Télécom, Univ. Lille, Centre for Energy and Environment, Lille, France
| | - Susanne Bastian
- Saxon State Office for Environment, Agriculture and Geology/Saxon State Department for Agricultural and Environmental Operations, Dresden, Germany
| | - Alexia Baudic
- AIRPARIF (Ile de France Air Quality Monitoring network), Paris, France
| | - Cristina Colombi
- Arpa Lombardia, Settore Monitoraggi Ambientali, Unità Operativa Qualità dell'Aria, Milano, Italy
| | - Francesca Costabile
- Institute of Atmospheric Sciences and Climate-National Research Council, Rome, Italy
| | - Benjamin Chazeau
- Aix Marseille Univ., CNRS, LCE, Marseille, France; Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen, Switzerland
| | | | - José Luis Gómez-Amo
- Solar Radiation Group. Dept. Earth Physics and Thermodynamics, University of Valencia, Burjassot, Spain
| | - Víctor Estellés
- Solar Radiation Group. Dept. Earth Physics and Thermodynamics, University of Valencia, Burjassot, Spain
| | - Violeta Matos
- Solar Radiation Group. Dept. Earth Physics and Thermodynamics, University of Valencia, Burjassot, Spain
| | - Ed van der Gaag
- DCMR Environmental Protection Agency, Department Air and Energy, Rotterdam, the Netherlands
| | - Grégory Gille
- AtmoSud, Regional Network for Air Quality Monitoring of Provence-Alpes-Cote-d'Azur, Marseille, France
| | - Krista Luoma
- Institute for Atmospheric and Earth System Research/Physics, Faculty of Science, University of Helsinki, Helsinki, Finland
| | - Hanna E Manninen
- Helsinki Region Environmental Services Authority (HSY), Helsinki, Finland
| | - Michael Norman
- Environment and Health Administration, SLB-analysis, Stockholm, Sweden
| | - Sanna Silvergren
- Environment and Health Administration, SLB-analysis, Stockholm, Sweden
| | - Jean-Eudes Petit
- Laboratoire des Sciences du Climat et de l'Environnement, CEA/Orme des Merisiers, Gif-sur-Yvette, France
| | | | - Oliver V Rattigan
- Division of Air Resources, New York State Dept of Environmental Conservation, NY, USA
| | - Hilkka Timonen
- Atmospheric Composition Research, Finnish Meteorological Institute, Helsinki, Finland
| | - Thomas Tuch
- Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
| | - Maik Merkel
- Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
| | - Kay Weinhold
- Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
| | - Stergios Vratolis
- Environmental Radioactivity Laboratory, Institute of Nuclear & Radiological Sciences & Technology, Energy & Safety, N.C.S.R. "Demokritos", Athens, Greece
| | - Jeni Vasilescu
- National Institute of Research and Development for Optoelectronics INOE 2000, Magurele, Romania
| | - Olivier Favez
- Institut National de l'Environnement Industriel et des Risques (INERIS), Verneuil-en-Halatte, France
| | - Roy M Harrison
- Division of Environmental Health & Risk Management, School of Geography, Earth & Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, UK; Department of Environmental Sciences, Faculty of Meteorology, Environment and Arid Land Agriculture, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Paolo Laj
- Univ. Grenoble, CNRS, IRD, IGE, 38000 Grenoble, France; Institute for Atmospheric and Earth System Research/Physics (INAR), Faculty of Science, University of Helsinki, Helsinki, Finland
| | | | - Philip K Hopke
- Department of Public Health Sciences, University of Rochester School of Medicine & Dentistry, Rochester, NY, USA
| | - Tuukka Petäjä
- Institute for Atmospheric and Earth System Research/Physics (INAR), Faculty of Science, University of Helsinki, Helsinki, Finland
| | - Andrés Alastuey
- Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain
| | - Xavier Querol
- Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Barcelona, Spain
| |
Collapse
|
35
|
Lloyd M, Ganji A, Xu J, Venuta A, Simon L, Zhang M, Saeedi M, Yamanouchi S, Apte J, Hong K, Hatzopoulou M, Weichenthal S. Predicting spatial variations in annual average outdoor ultrafine particle concentrations in Montreal and Toronto, Canada: Integrating land use regression and deep learning models. Environ Int 2023; 178:108106. [PMID: 37544265 DOI: 10.1016/j.envint.2023.108106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 06/28/2023] [Accepted: 07/19/2023] [Indexed: 08/08/2023]
Abstract
BACKGROUND Concentrations of outdoor ultrafine particles (UFP; <0.1 µm) and black carbon (BC) can vary greatly within cities and long-term exposures to these pollutants have been associated with a variety of adverse health outcomes. OBJECTIVE This study integrated multiple approaches to develop new models to estimate within-city spatial variations in annual median (i.e. average) outdoor UFP and BC concentrations as well as mean UFP size in Canada's two largest cities, Montreal and Toronto. METHODS We conducted year-long mobile monitoring campaigns in each city that included evenings and weekends. We developed generalized additive models trained on land use parameters and deep Convolutional Neural Network (CNN) models trained on satellite-view images. Using predictions from these models, we developed final combined models. RESULTS In Toronto, the median observed UFP concentration, UFP size, and BC concentration values were 16,172pt/cm3, 33.7 nm, and 1225 ng/m3, respectively. In Montreal, the median observed UFP concentration, UFP size, and BC concentration values were 14,702pt/cm3, 29.7 nm, and 1060 ng/m3, respectively. For all pollutants in both cities, the proportion of spatial variation explained (i.e., R2) was slightly greater (1-2 percentage points) for the combined models than the generalized additive models and a greater (approximately 10 percentage points) than the deep CNN models. The Toronto combined model R2 values in the test set were 0.73, 0.55, and 0.61 for UFP concentrations, UFP size, and BC concentration, respectively. The Montreal combined model R2 values were 0.60, 0.49, and 0.60 for UFP concentration, UFP size, and BC concentration models respectively. For each pollutant, predictions from the combined, deep CNN, and generalized additive models were highly correlated with each other and differences between models were explored in sensitivity analyses. CONCLUSION Predictions from these models are available to support future epidemiological research examining long-term health impacts of outdoor UFPs and BC.
Collapse
Affiliation(s)
- Marshall Lloyd
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Québec H3A 1G1, Canada.
| | - Arman Ganji
- Department of Civil and Mineral Engineering, University of Toronto, Toronto, Ontario M5S 1A4, Canada.
| | - Junshi Xu
- Department of Civil and Mineral Engineering, University of Toronto, Toronto, Ontario M5S 1A4, Canada.
| | - Alessya Venuta
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Québec H3A 1G1, Canada.
| | - Leora Simon
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Québec H3A 1G1, Canada.
| | - Mingqian Zhang
- Department of Civil and Mineral Engineering, University of Toronto, Toronto, Ontario M5S 1A4, Canada.
| | - Milad Saeedi
- Department of Civil and Mineral Engineering, University of Toronto, Toronto, Ontario M5S 1A4, Canada.
| | - Shoma Yamanouchi
- Department of Civil and Mineral Engineering, University of Toronto, Toronto, Ontario M5S 1A4, Canada.
| | - Joshua Apte
- Department of Civil and Environmental Engineering, University of California at Berkeley, Berkeley, CA 94720, United States; School of Public Health, University of California, Berkeley, CA 94720, United States.
| | - Kris Hong
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Québec H3A 1G1, Canada.
| | - Marianne Hatzopoulou
- Department of Civil and Mineral Engineering, University of Toronto, Toronto, Ontario M5S 1A4, Canada.
| | - Scott Weichenthal
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Québec H3A 1G1, Canada.
| |
Collapse
|
36
|
Singh S, Gokhale S. Modeling the dispersion of traffic-derived black carbon emissions into hilly terrain. Environ Monit Assess 2023; 195:958. [PMID: 37453030 DOI: 10.1007/s10661-023-11554-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 06/24/2023] [Indexed: 07/18/2023]
Abstract
This study examines hilly terrain's effect on black carbon (BC) dispersion. The apportionment of distinct sources obtained by a two-component mixing model (Aethalometer: AE-33) using improved radiative transfer equations showed the dominance of traffic-derived black carbon (BCFF) emissions in the study region. The AERMOD was used to model BC emissions from moving traffic as a line source and parking lot as area source using observational and WRF-processed meteorology for the winter (January to March 2020). The model results showed that the BC levels substantially vary with local meteorological conditions, traffic volume, and composition. The hilly terrain obstructs the winds and develops a negative pressure loading to a vacuum on the other side of the hills, which promotes the accumulation of emissions, causing high BC concentrations. The pockets of higher concentration were seen at the locations where steep slopes were associated with low winds (<1 m s-1) and hill fogs. The AERMOD model, after statistical evaluation against the observational datasets, has been applied to study the reduction in BCFF concentrations due to the implementation of Indian emission norms as mitigation measures, i.e., BS-IV (equivalent to Euro 4) and BS-VI (equivalent to Euro 6). It was found that the BCFF concentrations for BS-IV and BS-VI reduced by 35% and 75%, respectively. The model was also used to study the contribution of the different vehicular categories to BC concentration.
Collapse
Affiliation(s)
- Sameer Singh
- Department of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, 781 039, India.
| | - Sharad Gokhale
- Department of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, 781 039, India
| |
Collapse
|
37
|
Rasking L, Koshy P, Bongaerts E, Bové H, Ameloot M, Plusquin M, De Vusser K, Nawrot TS. Ambient black carbon reaches the kidneys. Environ Int 2023; 177:107997. [PMID: 37269720 DOI: 10.1016/j.envint.2023.107997] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/16/2023] [Accepted: 05/25/2023] [Indexed: 06/05/2023]
Abstract
BACKGROUND Ultrafine particles, including black carbon (BC), can reach the systemic circulation and therefore may distribute to distant organs upon inhalation. The kidneys may be particularly vulnerable to the adverse effects of BC exposure due to their filtration function. OBJECTIVES We hypothesized that BC particles reach the kidneys via the systemic circulation, where the particles may reside in structural components of kidney tissue and impair kidney function. METHODS In kidney biopsies from 25 transplant patients, we visualized BC particles using white light generation under femtosecond-pulsed illumination. The presence of urinary kidney injury molecule-1 (KIM-1) and cystatin c (CysC) were evaluated with ELISA. We assessed the association between internal and external exposure matrices and urinary biomarkers using Pearson correlation and linear regression models. RESULTS BC particles could be identified in all biopsy samples with a geometric mean (5th, 95th percentile) of 1.80 × 103 (3.65 × 102, 7.50 × 103) particles/mm3 kidney tissue, predominantly observed in the interstitium (100 %) and tubules (80 %), followed by the blood vessels and capillaries (40 %), and the glomerulus (24 %). Independent from covariates and potential confounders, we found that each 10 % higher tissue BC load resulted in 8.24 % (p = 0.03) higher urinary KIM-1. In addition, residential proximity to a major road was inversely associated with urinary CysC (+10 % distance: -4.68 %; p = 0.01) and KIM-1 (+10 % distance: -3.99 %; p < 0.01). Other urinary biomarkers, e.g., the estimated glomerular filtration rate or creatinine clearance showed no significant associations. DISCUSSION AND CONCLUSION Our findings that BC particles accumulate near different structural components of the kidney represent a potential mechanism explaining the detrimental effects of particle air pollution exposure on kidney function. Furthermore, urinary KIM-1 and CysC show potential as air pollution-induced kidney injury biomarkers for taking a first step in addressing the adverse effects BC might exert on kidney function.
Collapse
Affiliation(s)
- Leen Rasking
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Priyanka Koshy
- Department of Pathology, University Hospitals Leuven, Leuven, Belgium
| | - Eva Bongaerts
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Hannelore Bové
- Department of Sciences, Hasselt University, Diepenbeek, Belgium
| | - Marcel Ameloot
- Biomedical Research Institute, Hasselt University, Diepenbeek, Belgium
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Katrien De Vusser
- Nephrology and Kidney Transplantation, University Hospital Leuven, Leuven, Belgium; Department of Microbiology and Immunology, Leuven University, Leuven, Belgium
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium; Department of Public Health and Primary Care, Environment and Health Unit, Leuven University, Leuven, Belgium.
| |
Collapse
|
38
|
Alli AS, Clark SN, Wang J, Bennett J, Hughes AF, Ezzati M, Brauer M, Nimo J, Bedford-Moses J, Baah S, Cavanaugh A, Agyei-Mensah S, Owusu G, Baumgartner J, Arku RE. High-resolution patterns and inequalities in ambient fine particle mass (PM 2.5) and black carbon (BC) in the Greater Accra Metropolis, Ghana. Sci Total Environ 2023; 875:162582. [PMID: 36870487 PMCID: PMC10131145 DOI: 10.1016/j.scitotenv.2023.162582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 02/06/2023] [Accepted: 02/27/2023] [Indexed: 06/02/2023]
Abstract
Growing cities in sub-Saharan Africa (SSA) experience high levels of ambient air pollution. However, sparse long-term city-wide air pollution exposure data limits policy mitigation efforts and assessment of the health and climate effects. In the first study of its kind in West Africa, we developed high resolution spatiotemporal land use regression (LUR) models to map fine particulate matter (PM2.5) and black carbon (BC) concentrations in the Greater Accra Metropolitan Area (GAMA), one of the fastest sprawling metropolises in SSA. We conducted a one-year measurement campaign covering 146 sites and combined these data with geospatial and meteorological predictors to develop separate Harmattan and non-Harmattan season PM2.5 and BC models at 100 m resolution. The final models were selected with a forward stepwise procedure and performance was evaluated with 10-fold cross-validation. Model predictions were overlayed with the most recent census data to estimate the population distribution of exposure and socioeconomic inequalities in exposure at the census enumeration area level. The fixed effects components of the models explained 48-69 % and 63-71 % of the variance in PM2.5 and BC concentrations, respectively. Spatial variables related to road traffic and vegetation explained the most variability in the non-Harmattan models, while temporal variables were dominant in the Harmattan models. The entire GAMA population is exposed to PM2.5 levels above the World Health Organization guideline, including even the Interim Target 3 (15 μg/m3), with the highest exposures in poorer neighborhoods. The models can be used to support air pollution mitigation policies, health, and climate impact assessments. The measurement and modelling approach used in this study can be adapted to other African cities to bridge the air pollution data gap in the region.
Collapse
Affiliation(s)
- Abosede S Alli
- Department of Environmental Health Sciences, School of Public Health and Health Sciences, University of Massachusetts, Amherst, USA
| | - Sierra N Clark
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Jiayuan Wang
- Department of Environmental Health Sciences, School of Public Health and Health Sciences, University of Massachusetts, Amherst, USA
| | - James Bennett
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | | | - Majid Ezzati
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK; MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; Regional Institute for Population Studies, University of Ghana, Accra, Ghana
| | - Michael Brauer
- School of Population and Public Health, The University of British Columbia, Vancouver, Canada
| | - James Nimo
- Department of Physics, University of Ghana, Accra, Ghana
| | | | - Solomon Baah
- Department of Physics, University of Ghana, Accra, Ghana
| | | | - Samuel Agyei-Mensah
- Department of Geography and Resource Development, University of Ghana, Accra, Ghana
| | - George Owusu
- Institute of Statistical, Social & Economic Research, University of Ghana, Accra, Ghana
| | - Jill Baumgartner
- Institute for Health and Social Policy, McGill University, Montreal, Canada; Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Canada
| | - Raphael E Arku
- Department of Environmental Health Sciences, School of Public Health and Health Sciences, University of Massachusetts, Amherst, USA.
| |
Collapse
|
39
|
Wei J, Huang XF, Peng Y, Lin XY, Lei ZH, Cao LM, Zhu WF, Guo S, He LY. Evolution characteristic of atmospheric black carbon particles at a coastal site in the Pearl River Delta, China. Environ Pollut 2023; 324:121380. [PMID: 36863439 DOI: 10.1016/j.envpol.2023.121380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 02/26/2023] [Accepted: 02/27/2023] [Indexed: 06/18/2023]
Abstract
The mixing of black carbon (BC) with secondary materials is a major uncertainty source in assessing its radiative forcing. However, current understanding of the formation and evolution of various BC components is limited, particularly in the Pearl River Delta, China. This study measured submicron BC-associated nonrefractory materials and the total submicron nonrefractory materials using a soot particle aerosol mass spectrometer and a high-resolution time-of-flight aerosol mass spectrometer, respectively, at a coastal site in Shenzhen, China. Two distinct atmospheric conditions were also identified to further explore the distinctive evolution of BC-associated components: polluted period (PP) and clean period (CP). Comparing the components of two particles, we found that more-oxidized organic factor (MO-OOA) prefers to form on BC during PP rather CP. The formation of MO-OOA on BC (MO-OOABC) was affected by both enhanced photochemical processes and nocturnal heterogeneous processes. Enhanced photo-reactivity of BC, photochemistry during the daytime, and heterogeneous reaction at nighttime were potential pathways for MO-OOABC formation during PP. The fresh BC surface was favorable for the formation of MO-OOABC. Our study shows the evolution of BC-associated components under different atmospheric conditions, which should be considered in regional climate models to improve the assessment of the climate effects of BC.
Collapse
Affiliation(s)
- Jing Wei
- Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, China
| | - Xiao-Feng Huang
- Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, China.
| | - Yan Peng
- Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, China
| | - Xiao-Yu Lin
- Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, China
| | - Zhen-Hua Lei
- Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, China
| | - Li-Ming Cao
- Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, China
| | - Wen-Fei Zhu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
| | - Song Guo
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
| | - Ling-Yan He
- Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, China
| |
Collapse
|
40
|
Deslauriers JR, Redlich CA, Kang CM, Grady ST, Slade M, Koutrakis P, Garshick E. Determinants of indoor carbonaceous aerosols in homes in the Northeast United States. J Expo Sci Environ Epidemiol 2023; 33:1-7. [PMID: 35079108 PMCID: PMC9309189 DOI: 10.1038/s41370-021-00405-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 12/08/2021] [Accepted: 12/08/2021] [Indexed: 05/11/2023]
Abstract
BACKGROUND Little is known about sources of residential exposure to carbonaceous aerosols, which include black carbon (BC), the elemental carbon core of combustion particles, and organic compounds from biomass combustion (delta carbon). OBJECTIVE Assess the impact of residential characteristics on indoor BC and delta carbon when known sources of combustion (e.g., smoking) are minimized. METHODS Between November 2012-December 2014, 125 subjects (129 homes) in Northeast USA were recruited and completed a residential characteristics questionnaire. Every 3 months, participants received an automated sampler to measure fine particulate matter (PM2.5) in their home during a weeklong period (N = 371 indoor air samples) and were also questioned about indoor exposures. The samples were analyzed using a transmissometer at 880 nm (reflecting BC) and at 370 nm. The difference between the two wavelengths estimates delta carbon. Outdoor BC and delta carbon were measured using a central site aethalometer. RESULTS Geometric mean indoor concentrations of BC and delta carbon (0.65 µg/m³ and 0.19 µg/m³, respectively), were greater than central site concentrations (0.53 µg/m³ and 0.02 µg/m³, respectively). Multivariable analysis showed that greater indoor concentrations of BC were associated with infrequent candle use, multi-family homes, winter season, lack of air conditioning, and central site BC. For delta carbon, greater indoor concentrations were associated with apartments, spring season, and central site concentrations. SIGNIFICANCE In addition to outdoor central site concentrations, factors related to the type of housing, season, and home exposures are associated with indoor exposure to carbonaceous aerosols. Recognition of these characteristics should enable greater understanding of indoor exposures and their sources.
Collapse
Affiliation(s)
- Jessica R Deslauriers
- Yale Occupational and Environmental Medicine Program, Department of Medicine, Yale University School of Medicine, New Haven, CT, USA.
- Orlando VA Healthcare System, Orlando, FL, USA.
| | - Carrie A Redlich
- Yale Occupational and Environmental Medicine Program, Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Choong-Min Kang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Stephanie T Grady
- Research and Development Service, VA Boston Health Care System, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicie, Brigham and Women's Hospital, Boston, MA, USA
| | - Martin Slade
- Yale Occupational and Environmental Medicine Program, Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Eric Garshick
- Channing Division of Network Medicine, Department of Medicie, Brigham and Women's Hospital, Boston, MA, USA
- Pulmonary, Allergy, Sleep and Critical Care Medicine Section, VA Boston Healthcare System and Harvard Medical School, Boston, MA, USA
| |
Collapse
|
41
|
Prosenkov A, Cagnon C, Gallego JLR, Pelaez AI. The microbiome of a brownfield highly polluted with mercury and arsenic. Environ Pollut 2023; 323:121305. [PMID: 36804142 DOI: 10.1016/j.envpol.2023.121305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 02/11/2023] [Accepted: 02/14/2023] [Indexed: 06/18/2023]
Abstract
Abandoned brownfields represent a challenge for their recovery. To apply sustainable remediation technologies, such as bioremediation or phytoremediation, indigenous microorganisms are essential agents since they are adapted to the ecology of the soil. Better understanding of microbial communities inhabiting those soils, identification of microorganisms that drive detoxification process and recognising their needs and interactions will significantly improve the outcome of the remediation. With this in mind we have carried out a detailed metagenomic analysis to explore the taxonomic and functional diversity of the prokaryotic and eukaryotic microbial communities in soils, several mineralogically distinct types of pyrometallurgic waste, and groundwater sediments of a former mercury mining and metallurgy site which harbour very high levels of arsenic and mercury pollution. Prokaryotic and eukaryotic communities were identified, which turned out to be more diverse in the surrounding contaminated soils compared to the pyrometallurgic waste. The highest diversity loss was observed in two environments most contaminated with mercury and arsenic (stupp, a solid mercury condenser residue and arsenic-rich soot from arsenic condensers). Interestingly, microbial communities in the stupp were dominated by an overwhelming majority of archaea of the phylum Crenarchaeota, while Ascomycota and Basidiomycota fungi comprised the fungal communities of both stump and soot, results that show the impressive ability of these previously unreported microorganisms to colonize these extreme brownfield environments. Functional predictions for mercury and arsenic resistance/detoxification genes show their increase in environments with higher levels of pollution. Our work establishes the bases to design sustainable remediation methods and, equally important, to study in depth the genetic and functional mechanisms that enable the subsistence of microbial populations in these extremely selective environments.
Collapse
Affiliation(s)
- Alexander Prosenkov
- Area of Microbiology, Department of Functional Biology, Environmental Biogeochemistry and Raw Materials Group and IUBA, University of Oviedo, 33006 Oviedo, Asturias, Spain
| | - Christine Cagnon
- Universite de Pau et des Pays de l'Adour, E2S UPPA, CNRS, IPREM, Pau, France
| | - José Luis R Gallego
- INDUROT and Environmental Biogeochemistry and Raw Materials Group, Campus of Mieres, University of Oviedo, 33600 Mieres, Asturias, Spain
| | - Ana Isabel Pelaez
- Area of Microbiology, Department of Functional Biology, Environmental Biogeochemistry and Raw Materials Group and IUBA, University of Oviedo, 33006 Oviedo, Asturias, Spain.
| |
Collapse
|
42
|
Leskinen J, Hartikainen A, Väätäinen S, Ihalainen M, Virkkula A, Mesceriakovas A, Tiitta P, Miettinen M, Lamberg H, Czech H, Yli-Pirilä P, Tissari J, Jakobi G, Zimmermann R, Sippula O. Photochemical Aging Induces Changes in the Effective Densities, Morphologies, and Optical Properties of Combustion Aerosol Particles. Environ Sci Technol 2023; 57:5137-5148. [PMID: 36944040 PMCID: PMC10077587 DOI: 10.1021/acs.est.2c04151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 02/10/2023] [Accepted: 03/07/2023] [Indexed: 06/18/2023]
Abstract
Effective density (ρeff) is an important property describing particle transportation in the atmosphere and in the human respiratory tract. In this study, the particle size dependency of ρeff was determined for fresh and photochemically aged particles from residential combustion of wood logs and brown coal, as well as from an aerosol standard (CAST) burner. ρeff increased considerably due to photochemical aging, especially for soot agglomerates larger than 100 nm in mobility diameter. The increase depends on the presence of condensable vapors and agglomerate size and can be explained by collapsing of chain-like agglomerates and filling of their voids and formation of secondary coating. The measured and modeled particle optical properties suggest that while light absorption, scattering, and the single-scattering albedo of soot particle increase during photochemical processing, their radiative forcing remains positive until the amount of nonabsorbing coating exceeds approximately 90% of the particle mass.
Collapse
Affiliation(s)
- Jani Leskinen
- Department
of Environmental and Biological Sciences, University of Eastern Finland, Kuopio FI 70211, Finland
| | - Anni Hartikainen
- Department
of Environmental and Biological Sciences, University of Eastern Finland, Kuopio FI 70211, Finland
| | - Sampsa Väätäinen
- Department
of Environmental and Biological Sciences, University of Eastern Finland, Kuopio FI 70211, Finland
| | - Mika Ihalainen
- Department
of Environmental and Biological Sciences, University of Eastern Finland, Kuopio FI 70211, Finland
| | - Aki Virkkula
- Atmospheric
Composition Research, Finnish Meteorological
Institute, Helsinki FI-00560, Finland
| | - Arunas Mesceriakovas
- Department
of Environmental and Biological Sciences, University of Eastern Finland, Kuopio FI 70211, Finland
| | - Petri Tiitta
- Department
of Environmental and Biological Sciences, University of Eastern Finland, Kuopio FI 70211, Finland
- Finnish
Meteorological Institute, Atmospheric Research
Centre of Eastern Finland, P.O. Box 1627, Kuopio 70211, Finland
| | - Mirella Miettinen
- Department
of Environmental and Biological Sciences, University of Eastern Finland, Kuopio FI 70211, Finland
| | - Heikki Lamberg
- Department
of Environmental and Biological Sciences, University of Eastern Finland, Kuopio FI 70211, Finland
| | - Hendryk Czech
- Joint
Mass Spectrometry Centre, University of Rostock, 18059 Rostock, Germany
and Cooperation Group Comprehensive Molecular Analytics, Helmholtz Zentrum München, München 81379, Germany
| | - Pasi Yli-Pirilä
- Department
of Environmental and Biological Sciences, University of Eastern Finland, Kuopio FI 70211, Finland
| | - Jarkko Tissari
- Department
of Environmental and Biological Sciences, University of Eastern Finland, Kuopio FI 70211, Finland
| | - Gert Jakobi
- Joint
Mass Spectrometry Centre, University of Rostock, 18059 Rostock, Germany
and Cooperation Group Comprehensive Molecular Analytics, Helmholtz Zentrum München, München 81379, Germany
| | - Ralf Zimmermann
- Joint
Mass Spectrometry Centre, University of Rostock, 18059 Rostock, Germany
and Cooperation Group Comprehensive Molecular Analytics, Helmholtz Zentrum München, München 81379, Germany
| | - Olli Sippula
- Department
of Environmental and Biological Sciences, University of Eastern Finland, Kuopio FI 70211, Finland
- Department
of Chemistry, University of Eastern Finland, Joensuu 80101, Finland
| |
Collapse
|
43
|
Liu X, Wang S, Zhang Q, Jiang C, Liang L, Tang S, Zhang X, Han X, Zhu L. Origins of black carbon from anthropogenic emissions and open biomass burning transported to Xishuangbanna, Southwest China. J Environ Sci (China) 2023; 125:277-289. [PMID: 36375914 DOI: 10.1016/j.jes.2021.12.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 10/20/2021] [Accepted: 12/24/2021] [Indexed: 06/16/2023]
Abstract
Black carbon (BC) has importance regarding aerosol composition, radiative balance, and human exposure. This study adopted a backward-trajectory approach to quantify the origins of BC from anthropogenic emissions (BCAn) and open biomass burning (BCBB) transported to Xishuangbanna in 2017. Haze months, between haze and clean months, and clean months in Xishuangbanna were defined according to daily PM2.5 concentrations of >75, 35-75, and <35 µg/m3, respectively. Results showed that the transport efficiency density (TED) of BC transported to Xishuangbanna was controlled by the prevailing winds in different seasons. The yearly contributions to the effective emission intensity of BCAn and BCBB transported to Xishuangbanna were 52% and 48%, respectively. However, when haze occurred in Xishuangbanna, the average BCAn and BCBB contributions were 23% and 77%, respectively. This suggests that open biomass burning (BB) becomes the dominant source in haze months. Myanmar, India, and Laos were the dominant source regions of BC transported to Xishuangbanna during haze months, accounting for 59%, 18%, and 13% of the total, respectively. Furthermore, India was identified as the most important source regions of BCAn transported to Xishuangbanna in haze months, accounting for 14%. The two countries making the greatest contributions to BCBB transported to Xishuangbanna were Myanmar and Laos in haze months, accounting for 55% and 13%, respectively. BC emissions from Xishuangbanna had minimal effects on the results of the present study. It is suggested that open BB in Myanmar and Laos, and anthropogenic emissions in India were responsible for poor air quality in Xishuangbanna.
Collapse
Affiliation(s)
- Xuyan Liu
- National Satellite Meteorological Center, Beijing 100081, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China.
| | - Siwen Wang
- Department of Multiphase Chemistry, Max Planck Institute for Chemistry, Mainz 55128, Germany
| | - Qianqian Zhang
- National Satellite Meteorological Center, Beijing 100081, China
| | - Chunlai Jiang
- Research Center for Total Pollution Load Control and Emission Trading, Chinese Academy of Environmental Planning, Beijing 100012, China
| | - Linlin Liang
- State Key Laboratory of Severe Weather and Key Laboratory for Atmospheric Chemistry, Chinese Academy of Meteorological Sciences, Beijing 100081, China
| | - Shihao Tang
- National Satellite Meteorological Center, Beijing 100081, China
| | - Xingying Zhang
- National Satellite Meteorological Center, Beijing 100081, China
| | - Xiuzhen Han
- National Satellite Meteorological Center, Beijing 100081, China
| | - Lin Zhu
- National Satellite Meteorological Center, Beijing 100081, China
| |
Collapse
|
44
|
Jung KH, Goodwin KE, Ross JM, Cai J, Chillrud SN, Perzanowski M, Perera FP, Miller RL, Lovinsky-Desir S. Characteristics of peak exposure to black carbon pollution in school, commute and home environments among school children in an urban community. Environ Pollut 2023; 319:120991. [PMID: 36596374 PMCID: PMC9900622 DOI: 10.1016/j.envpol.2022.120991] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 12/29/2022] [Accepted: 12/30/2022] [Indexed: 06/17/2023]
Abstract
Although real-time personal exposure monitoring devices have the ability to capture a wealth of data regarding fluctuations in pollutant levels, only a few studies have defined 'peaks' in black carbon (BC) exposure utilizing high-resolution data. Furthermore, studies to assess and characterize various features of peak exposure are very limited especially among children. A better understanding of characteristics of BC peak exposure would improve our understanding of health risks associated with BC. By capturing personal BC exposure at 5-min intervals using a real-time monitor during 24-hr monitoring periods among children in New York City (NYC), we defined 'peak characteristics' in 4 different ways across three major microenvironments (school vs. commute vs. home): 1) mean concentrations of BC across the 3 microenvironments, 2) 'peak duration' or time spent above the peak threshold (i.e., ≥1.5 μg/m3), 3) 'peak intensity' or the rate of exposure, defined as time spent above the threshold within each microenvironment divided by the total time spent in the microenvironment and 4) a novel metric of 'peak variability', defined as frequency of peaks (i.e., data points with +50% and -50% changes compared to the preceding and the subsequent data points), divided by the total time spent in the microenvironment. While peak duration was greatest at home, the intensity of peak exposure was greatest during commute hours, despite the short time spent in commute (p < 0.05). Peak variability was highest during commute, yet lowest in home environments (p < 0.05), particularly during non-sleeping hours. Children residing in a high-density urban setting spent on average, 5.4 hr per day above our peak threshold (≥1.5 μg/m3) in their everyday environments. Policies that limit children's exposure during high traffic periods and improved efforts to increase the number of vehicles using clean air technology could reduce the intensity of peaks and peak variability in children's BC exposure.
Collapse
Affiliation(s)
- Kyung Hwa Jung
- Division of Pediatric Pulmonary, Department of Pediatrics, Columbia University, Vagelos College of Physicians and Surgeons , 3959 Broadway CHC 7-750, New York, NY 10032, United States
| | - Kathleen E Goodwin
- Columbia University, Vagelos College of Physicians and Sugeons, 630 W. 168th Stree, New York, NY 10032, United States
| | - James M Ross
- Lamont-Doherty Earth Observatory, Columbia University, 61 Rt, 9W Palisades, New York, 10964, United States
| | - Jing Cai
- School of Public Health, Fudan University, 130 Dong'An Road, Shanghai, 200032, China
| | - Steven N Chillrud
- Lamont-Doherty Earth Observatory, Columbia University, 61 Rt, 9W Palisades, New York, 10964, United States
| | - Matthew Perzanowski
- Mailman School of Public Health, Department of Environmental Health Sciences, Columbia University, 722 W. 168 St., New York, NY, 10032, United States
| | - Frederica P Perera
- Mailman School of Public Health, Department of Environmental Health Sciences, Columbia University, 722 W. 168 St., New York, NY, 10032, United States
| | - Rachel L Miller
- Division of Clinical Immunology, Department of Medicine, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, United States
| | - Stephanie Lovinsky-Desir
- Division of Pediatric Pulmonary, Department of Pediatrics, Columbia University, Vagelos College of Physicians and Surgeons , 3959 Broadway CHC 7-750, New York, NY 10032, United States.
| |
Collapse
|
45
|
Kang N, Wu R, Liao W, Zhang C, Liu X, Mao Z, Huo W, Hou J, Zhang K, Tian H, Lin H, Wang C. Association of long-term exposure to PM 2.5 constituents with glucose metabolism in Chinese rural population. Sci Total Environ 2023; 859:160364. [PMID: 36427733 DOI: 10.1016/j.scitotenv.2022.160364] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 10/26/2022] [Accepted: 11/17/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Evidence on the associations of fine particulate matter (PM2.5) constituents and glucose metabolism is limited in resource-limited areas. This study aimed to explore the associations of PM2.5 constituents with glucose metabolism in rural areas, and to further specify the most responsible constituent. METHODS A total of 38,442 adults were recruited from the Henan Rural Cohort Study during 2015-2017. Three-year averaged concentrations of PM2.5 mass and its constituents (black carbon (BC), ammonium (NH4+), nitrate (NO3-), organic matter (OM), inorganic sulfate (SO42-), soil particles (SOIL) and sea salt (SS)) were estimated by a hybrid satellite-based model. Generalized linear model was applied to explore the associations of PM2.5 mass and its constituents with type 2 diabetes mellitus (T2DM), fasting blood glucose (FBG), insulin, and HOMA-β. Proportion and residual analyses were employed to specify the most responsible constituent. RESULTS The adjusted odds ratio (OR) for T2DM associated with 1 μg/m3 increase was 1.02 for PM2.5 mass, 1.28 for BC, 1.15 for NH4+, 1.08 for NO3-, 1.10 for OM, 1.11 for SO42-, and 1.12 for SOIL. Significant associations of PM2.5 mass and its constituents with elevated FBG, decreased insulin and HOMA-β were also observed. Proportion and residual analyses indicated that BC was the most responsible constituent, in which 1 percentage increment in the proportion of BC in PM2.5 corresponded with 1.51-fold risk for T2DM, 0.17 mmol/L increase in FBG, 2.18 μU/mL decrease in insulin, and 38.26 % decrease in HOMA-β; and 1 μg/m3 increment in the PM2.5-adjusted BC corresponded with 1.59-fold risk for T2DM, 0.53 mmol/L increase in FBG, 4.79 μU/mL decrease in insulin, and 91.32 % decrease in HOMA-β. CONCLUSIONS PM2.5 mass and its constituents (BC, NH4+, NO3-, OM, SO42-, SOIL) were associated with T2DM, increased FBG, decreased insulin and HOMA-β, of which BC was most responsible for these associations. TRIAL REGISTRATION The Henan Rural Cohort Study has been registered at Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699). Date of registration: 06 July 2015. http://www.chictr.org.cn/showproj.aspx?proj=11375.
Collapse
Affiliation(s)
- Ning Kang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Ruiyu Wu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Wei Liao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Caiyun Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Wenqian Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Kai Zhang
- Department of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Albany, NY, USA
| | - Hezhong Tian
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing, China
| | - Hualiang Lin
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China; Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
| |
Collapse
|
46
|
Wei J, Niu YB, Tang MX, Peng Y, Cao LM, He LY, Huang XF. Characterizing formation mechanisms of secondary aerosols on black carbon in a megacity in South China. Sci Total Environ 2023; 859:160290. [PMID: 36410489 DOI: 10.1016/j.scitotenv.2022.160290] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 11/12/2022] [Accepted: 11/15/2022] [Indexed: 06/16/2023]
Abstract
Refractory black carbon (rBC) aerosols emitted from incomplete combustion are important climate forcers. Understanding the chemical characteristics and evolution of rBC-related components is particularly crucial to assess rBC environmental impacts. Here, we explored the chemical components of rBC in Shenzhen, China, using a soot-particle aerosol mass spectrometer (SP-AMS). The observations showed that the rBC coating was mainly composed of secondary aerosols with an average mass contribution of 84.7 %. Among them, secondary organic coating occupied ∼57.7 % of the total coating mass. Exploration of the relationship between secondary organic aerosol (SOA) coating and Ox (=NO2 + O3, an indicator of the extent of photochemical processing) showed that SOA coating was generated mainly through photochemical oxidation during the day. Similarly, sulfate coating, with a small mass fraction of 0.9 %, was also dominated by photochemical oxidation. In contrast, nitrate coating responded positively to ambient relative humidity, especially at night, indicating that it was driven by heterogeneous reactions. In addition, the increased ratio of nitrate on rBC to bulk nitrate at night suggested that black carbon surface could facilitate nocturnal nitrate formation.
Collapse
Affiliation(s)
- Jing Wei
- Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China
| | - Ying-Bo Niu
- Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China
| | - Meng-Xue Tang
- Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China
| | - Yan Peng
- Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China
| | - Li-Ming Cao
- Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China
| | - Ling-Yan He
- Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China.
| | - Xiao-Feng Huang
- Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China
| |
Collapse
|
47
|
Li C, Kang S, Yan F, Zhang C, Yang J, He C. Importance of precipitation and dust storms in regulating black carbon deposition on remote Himalayan glaciers. Environ Pollut 2023; 318:120885. [PMID: 36529339 DOI: 10.1016/j.envpol.2022.120885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/28/2022] [Accepted: 12/14/2022] [Indexed: 06/17/2023]
Abstract
Black carbon (BC) can be transported over long distances and is an important trigger of climate warming and glacier melting at remote high mountains and polar regions. It is normally assumed that the variation of BC flux in remote regions is dominated by its emissions. However, after a comprehensive investigation of potential influencing factors on temporal variations of BC from ice cores of the Himalayas, this short communication shows that in addition to BC emissions, contributions from dust storms and precipitation are also important (up to 56% together) in regulating the variation of BC deposition flux and concentrations derived from remote Himalayan ice core measurements. Therefore, besides BC emissions, the influence of precipitation and BC transported by dust storms should also be considered to better quantify the lifetime and behavior of BC during its long-range transport from source to sink regions as well as to quantify the climatic effects of BC over remote Himalayan glaciers.
Collapse
Affiliation(s)
- Chaoliu Li
- State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China; State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China; University of Chinese Academy of Sciences, Beijing, 100039, China
| | - Shichang Kang
- State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China; University of Chinese Academy of Sciences, Beijing, 100039, China.
| | - Fangping Yan
- State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China
| | - Chao Zhang
- State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Junhua Yang
- State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China
| | - Cenlin He
- Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, 80301, USA
| |
Collapse
|
48
|
El Baramoussi EM, Ren Y, Xue C, Ouchen I, Daële V, Mercier P, Chalumeau C, Fur FLE, Colin P, Yahyaoui A, Favez O, Mellouki A. Nearly five-year continuous atmospheric measurements of black carbon over a suburban area in central France. Sci Total Environ 2023; 858:159905. [PMID: 36343810 DOI: 10.1016/j.scitotenv.2022.159905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Revised: 10/24/2022] [Accepted: 10/29/2022] [Indexed: 06/16/2023]
Abstract
Atmospheric black carbon (BC) concentration over a nearly 5 year period (mid-2017-2021) was continuously monitored over a suburban area of Orléans city (France). Annual mean atmospheric BC concentration were 0.75 ± 0.65, 0.58 ± 0.44, 0.54 ± 0.64, 0.48 ± 0.46 and 0.50 ± 0.72 μg m-3, respectively, for the year of 2017, 2018, 2019, 2020 and 2021. Seasonal pattern was also observed with maximum concentration (0.70 ± 0.18 μg m-3) in winter and minimum concentration (0.38 ± 0.04 μg m-3) in summer. We found a different diurnal pattern between cold (winter and fall) and warm (spring and summer) seasons. Further, fossil fuel burning contributed >90 % of atmospheric BC in the summer and biomass burning had a contribution equivalent to that of the fossil fuel in the winter. Significant week days effect on BC concentrations was observed, indicating the important role of local emissions such as car exhaust in BC level at this site. The behavior of atmospheric BC level with COVID-19 lockdown was also analyzed. We found that during the lockdown in warm season (first lockdown: 27 March-10 May 2020 and third lockdown 17 March-3 May 2021) BC concentration were lower than in cold season (second lockdown: 29 October-15 December 2020), which could be mainly related to the BC emission from biomass burning for heating. This study provides a long-term BC measurement database input for air quality and climate models. The analysis of especially weekend and lockdown effect showed implications on future policymaking toward improving local and regional air quality as well.
Collapse
Affiliation(s)
- El Mehdi El Baramoussi
- Earth Sciences Department, Scientific Institute, Mohammed V University, Rabat 10106, Morocco; Institut de Combustion Aérothermique, Réactivité et Environnement, Centre National de la Recherche Scientifique (ICARE-CNRS), Observatoire des Sciences de l'Univers en région Centre (OSUC), CS 50060, 45071 Orléans cedex02, France
| | - Yangang Ren
- Institut de Combustion Aérothermique, Réactivité et Environnement, Centre National de la Recherche Scientifique (ICARE-CNRS), Observatoire des Sciences de l'Univers en région Centre (OSUC), CS 50060, 45071 Orléans cedex02, France; Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, PR China.
| | - Chaoyang Xue
- Laboratoire de Physique et Chimie de l'Environnement et de l'Espace (LPC2E), CNRS - Université Orléans - CNES (UMR 7328), 45071 Orléans Cedex 2, France
| | - Ibrahim Ouchen
- Earth Sciences Department, Scientific Institute, Mohammed V University, Rabat 10106, Morocco
| | - Véronique Daële
- Institut de Combustion Aérothermique, Réactivité et Environnement, Centre National de la Recherche Scientifique (ICARE-CNRS), Observatoire des Sciences de l'Univers en région Centre (OSUC), CS 50060, 45071 Orléans cedex02, France
| | - Patrick Mercier
- Lig'Air-Association de surveillance de la qualité de l'air en région Centre-Val de Loire, 45590 Saint-Cyr-en-Val, France
| | - Christophe Chalumeau
- Lig'Air-Association de surveillance de la qualité de l'air en région Centre-Val de Loire, 45590 Saint-Cyr-en-Val, France
| | - Frédéric L E Fur
- Lig'Air-Association de surveillance de la qualité de l'air en région Centre-Val de Loire, 45590 Saint-Cyr-en-Val, France
| | - Patrice Colin
- Lig'Air-Association de surveillance de la qualité de l'air en région Centre-Val de Loire, 45590 Saint-Cyr-en-Val, France
| | - Abderrazak Yahyaoui
- Lig'Air-Association de surveillance de la qualité de l'air en région Centre-Val de Loire, 45590 Saint-Cyr-en-Val, France
| | - Oliver Favez
- Institut National de l'Environnement Industriel et des Risques, Parc Technologique ALATA, Verneuil-en-Halatte, France
| | - Abdelwahid Mellouki
- Institut de Combustion Aérothermique, Réactivité et Environnement, Centre National de la Recherche Scientifique (ICARE-CNRS), Observatoire des Sciences de l'Univers en région Centre (OSUC), CS 50060, 45071 Orléans cedex02, France; Environment Research Institute, School of Environmental Science and Engineering, Shandong University, Qingdao 266237, China.
| |
Collapse
|
49
|
Khanehzar A, Jadidi M, Zimmer L, Dworkin SB. Application of machine learning for the low-cost prediction of soot concentration in a turbulent flame. Environ Sci Pollut Res Int 2023; 30:27103-27112. [PMID: 36378371 DOI: 10.1007/s11356-022-24161-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 11/08/2022] [Indexed: 06/16/2023]
Abstract
The second most potent forcer of climate change, soot, has severe harmful effects on both human health and the environment. Accurate numerical modeling of soot formation is extremely complex and has a high computational cost due to its dependence on many physical and chemical interactions, specifically in turbulent flames. The high computational cost of coupling chemistry, fluid dynamics, thermodynamics, and heat transfer raise the need for a novel, precise, and computationally cost-effective numerical technique for predicting soot concentrations. This study applies machine learning (ML) to predict soot formation in a turbulent flame. It has been discovered that the local soot volume fraction is correlated to the histories of gas properties strongly correlative to soot formation and oxidation. A library with the Lagrangian temporal histories of soot-containing fluid parcels is created from turbulent diffusion flame data computed using direct numerical simulation (DNS). This library is then used to train an ML algorithm to predict soot volume fraction along randomly selected trajectories (pathlines) in the domain. The prediction capability is tested over 10% of the entire dataset, and it is seen that soot volume fraction can be predicted well along the selected pathlines with low error and computational cost. To describe quantitative results, the calculated R2 in the current work is equal to 0.92, which shows good accuracy of the predictions.
Collapse
Affiliation(s)
- Andisheh Khanehzar
- Department of Mechanical and Industrial Engineering, Toronto Metropolitan University, 350 Victoria St, Toronto, ON, M5B 2K3, Canada
| | - Mehdi Jadidi
- Department of Mechanical and Industrial Engineering, Toronto Metropolitan University, 350 Victoria St, Toronto, ON, M5B 2K3, Canada
| | - Leonardo Zimmer
- Department of Mechanical and Industrial Engineering, Toronto Metropolitan University, 350 Victoria St, Toronto, ON, M5B 2K3, Canada
| | - Seth B Dworkin
- Department of Mechanical and Industrial Engineering, Toronto Metropolitan University, 350 Victoria St, Toronto, ON, M5B 2K3, Canada.
| |
Collapse
|
50
|
Deng X, Mao L, Wu Y, Tan Z, Feng W, Zhang Y, Zhou C. Distribution and source of black carbon in coastal river sediments around Haizhou Bay, Eastern China: implications for anthropogenic inputs. Environ Sci Pollut Res Int 2023; 30:21092-21103. [PMID: 36264471 DOI: 10.1007/s11356-022-23713-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 10/14/2022] [Indexed: 06/16/2023]
Abstract
It is crucial to investigate the distribution and origin of black carbon (BC) in the environment for evaluating human inputs and developing pollution control strategies. This study analyzed BC in coastal river sediments from Haizhou Bay, Eastern China. The concentrations (dry weight) of the BC, char, soot, and total organic carbon (TOC) in coastal river sediments flowing into Haizhou Bay were 0.11-4.68, 0.06-4.24, 0.04-0.70, and 0.15-2.29 mg/g, respectively. Char and soot accounted for 38.54-90.70% and 9.30-61.46% of BC, with an average of 68.95% and 31.05%, respectively. The results show that the spatial variation of char was markedly presented in river sediment (108.27%), followed by that of BC (89.25%), TOC (58.69%), and soot (55.85%). The BC was mainly distributed in the Shawang River and the Shiliang River, soot was distributed primarily in the Shawang River, and char was mainly distributed in the Shiliang River. This finding supports the presence of anthropogenic activity sources in coastal rivers. The grey correlation analysis results show that industrial and agricultural activities greatly influenced BC emissions, as the influence degree of four socio-economic variables on BC contamination decreased as follows: regional total production value, population density, total agricultural production value, and total industrial production value. The char/soot ratio, an index to discriminate the source of BC contamination in sediments, was found to range from 0.63 to 9.75 with an average of 2.75. The result indicates that BC in Haizhou Bay was contributed from mixed sources including transportation emissions, fossil fuel combustion, and biomass combustion. The study demonstrates that BC could be an effective indicator for the degree and spatial distribution of organic pollutants in coastal river sediments.
Collapse
Affiliation(s)
- Xiaoqian Deng
- School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Longjiang Mao
- School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing, 210044, China.
| | - Yuling Wu
- School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Zhihai Tan
- School of Environmental and Chemical Engineering, Xi'an Polytechnic University, Xi'an, 710048, China
| | - Wanzhu Feng
- School of Environmental and Chemical Engineering, Xi'an Polytechnic University, Xi'an, 710048, China
| | - Yuanzhi Zhang
- School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing, 210044, China
| | - Chaofan Zhou
- Jiangsu Provincial Environmental Monitoring Center, Nanjing, 210019, China
| |
Collapse
|