1
|
Calas A, Schreck E, Viers J, Avellan A, Pages A, Dias-Alves M, Gardrat E, Behra P, Pont V. Air quality, metal(loid) sources identification and environmental assessment using (bio)monitoring in the former mining district of Salsigne (Orbiel valley, France). CHEMOSPHERE 2024; 357:141974. [PMID: 38615955 DOI: 10.1016/j.chemosphere.2024.141974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 04/04/2024] [Accepted: 04/09/2024] [Indexed: 04/16/2024]
Abstract
The former mining district of Salsigne is situated in the Orbiel valley. Until the 20th century, it was the first gold mine in Europe and the first arsenic mine in the world. Rehabilitation has been performed during the 20 years that followed closure of the mines and factories, which led to the accumulation of storage of several million tons of waste in this valley. Nevertheless, a detailed description of the air quality of this area is still missing. The goal of the present study is to evaluate atmospheric contamination in the valley and identify the potential sources of this contamination. Active monitors (particulate matter samplers) and passive bioindicators (Tillandsia usneoides) were placed in strategic sites including remote areas. Over the year 2022, we assessed the air quality using microscopic and spectroscopic techniques, as well as environmental risk indicators to report the level of contamination. Results indicate that the overall air quality in the valley is good with PM10 levels in accordance with EU standards. Elemental concentrations in the exposed plants were lower than reported in the literature. Among the different sites studied, Nartau and La Combe du Saut, corresponding to waste storage and former mining industry sites, were the most affected. Chronic exposure over 1 year was highlighted for Fe, Ni, Cu, Pb, Sb and As. Pollution Load Index and Enrichment Factors, which provided valuable information to assess the environmental condition of the valley's air, suggested that dust and resuspension of anthropogenic materials were the principle sources for most of the elements. Finally, this study also highlights that using T. usneoides could be a convenient approach for biomonitoring of metal (loid)-rich particles in the atmosphere within a former mining area, for at least one year. These results in turn allow to better understand the effects of chronic exposure on the ecosystem.
Collapse
Affiliation(s)
- Aude Calas
- Géosciences Environnement Toulouse (GET), Université de Toulouse, CNRS, IRD, 14 Avenue Edouard Belin, 31400, Toulouse, France; Laboratoire de Chimie Agro-industrielle (LCA), Université de Toulouse, INRAE, Toulouse INP, Toulouse, France.
| | - Eva Schreck
- Géosciences Environnement Toulouse (GET), Université de Toulouse, CNRS, IRD, 14 Avenue Edouard Belin, 31400, Toulouse, France
| | - Jérôme Viers
- Géosciences Environnement Toulouse (GET), Université de Toulouse, CNRS, IRD, 14 Avenue Edouard Belin, 31400, Toulouse, France
| | - Astrid Avellan
- Géosciences Environnement Toulouse (GET), Université de Toulouse, CNRS, IRD, 14 Avenue Edouard Belin, 31400, Toulouse, France
| | - Alain Pages
- Observatoire Midi-Pyrénées, 16 avenue Edouard Belin 31400 Toulouse, France
| | - Maria Dias-Alves
- Laboratoire d'Aérologie, Université de Toulouse, CNRS, 14 Avenue Edouard Belin, 31400, Toulouse, France
| | - Eric Gardrat
- Laboratoire d'Aérologie, Université de Toulouse, CNRS, 14 Avenue Edouard Belin, 31400, Toulouse, France
| | - Philippe Behra
- Laboratoire de Chimie Agro-industrielle (LCA), Université de Toulouse, INRAE, Toulouse INP, Toulouse, France
| | - Véronique Pont
- Laboratoire d'Aérologie, Université de Toulouse, CNRS, 14 Avenue Edouard Belin, 31400, Toulouse, France
| |
Collapse
|
2
|
Zeb B, Ditta A, Alam K, Sorooshian A, Din BU, Iqbal R, Habib Ur Rahman M, Raza A, Alwahibi MS, Elshikh MS. Wintertime investigation of PM 10 concentrations, sources, and relationship with different meteorological parameters. Sci Rep 2024; 14:154. [PMID: 38167892 PMCID: PMC10761681 DOI: 10.1038/s41598-023-49714-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 12/11/2023] [Indexed: 01/05/2024] Open
Abstract
Meteorological factors play a crucial role in affecting air quality in the urban environment. Peshawar is the capital city of the Khyber Pakhtunkhwa province in Pakistan and is a pollution hotspot. Sources of PM10 and the influence of meteorological factors on PM10 in this megacity have yet to be studied. The current study aims to investigate PM10 mass concentration levels and composition, identify PM10 sources, and quantify links between PM10 and various meteorological parameters like temperature, relative humidity (RH), wind speed (WS), and rainfall (RF) during the winter months from December 2017 to February 2018. PM10 mass concentrations vary from 180 - 1071 µg m-3, with a mean value of 586 ± 217 µg m-3. The highest concentration is observed in December, followed by January and February. The average values of the mass concentration of carbonaceous species (i.e., total carbon, organic carbon, and elemental carbon) are 102.41, 91.56, and 6.72 μgm-3, respectively. Water-soluble ions adhere to the following concentration order: Ca2+ > Na+ > K+ > NH4+ > Mg2+. Twenty-four elements (Al, Si, S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Co, Ni, Co, Zn, Ga, Ge, As, Se, Kr, Ag, Pb, Cu, and Cd) are detected in the current study by PIXE analysis. Five sources based on Positive Matrix Factorization (PMF) modeling include industrial emissions, soil and re-suspended dust, household combustion, metallurgic industries, and vehicular emission. A positive relationship of PM10 with temperature and relative humidity is observed (r = 0.46 and r = 0.56, respectively). A negative correlation of PM10 is recorded with WS (r = - 0.27) and RF (r = - 0.46). This study's results motivate routine air quality monitoring owing to the high levels of pollution in this region. For this purpose, the establishment of air monitoring stations is highly suggested for both PM and meteorology. Air quality standards and legislation need to be revised and implemented. Moreover, the development of effective control strategies for air pollution is highly suggested.
Collapse
Affiliation(s)
- Bahadar Zeb
- Department of Mathematics, Shaheed Benazir Bhutto University Sheringal, Dir (Upper), 18000, Khyber Pakhtunkhwa, Pakistan.
| | - Allah Ditta
- Department of Environmental Sciences, Shaheed Benazir Bhutto University Sheringal, Dir (U), Khyber Pakhtunkhwa, 18000, Pakistan.
- School of Biological Sciences, The University of Western Australia, 35 Stirling Highway, Perth, WA, 6009, Australia.
| | - Khan Alam
- Department of Physics, University of Peshawar, Khyber Pakhtunkhwa, Pakistan
| | - Armin Sorooshian
- Department of Chemical and Environmental Engineering, University of Arizona, Tucson, AZ, 85721, USA
- Department of Hydrology and Atmospheric Sciences, University Arizona, Tucson, AZ, 85721, USA
| | - Badshah Ud Din
- University Boys College, Shaheed Benazir Bhutto University Sheringal, Dir (U), Khyber Pakhtunkhwa, Pakistan
| | - Rashid Iqbal
- Department of Agronomy, Faculty of Agriculture and Environment, The Islamia University of Bahawalpur, Bahawalpur, Pakistan
| | - Muhammed Habib Ur Rahman
- Department of Seed Science and Technology, Institute of Plant Breeding and Biotechnology, MNS University of Agriculture Multan, Punjab, Pakistan
- Institute of Crop Science and Resource Conservation (INRES), Crop Science, University of Bonn, 53115, Bonn, Germany
| | - Ahsan Raza
- Institute of Crop Science and Resource Conservation (INRES), Crop Science, University of Bonn, 53115, Bonn, Germany.
- Leibniz Centre for Agricultural Landscape Research (ZALF), Eberswalder Straße 84, 15374, Müncheberg, Germany.
| | - Mona S Alwahibi
- Department of Botany and Microbiology, College of Science, King Saud University, 11451, Riyadh, Saudi Arabia
| | - Mohamed S Elshikh
- Department of Botany and Microbiology, College of Science, King Saud University, 11451, Riyadh, Saudi Arabia
| |
Collapse
|
3
|
Fakhri N, Fadel M, Öztürk F, Keleş M, Iakovides M, Pikridas M, Abdallah C, Karam C, Sciare J, Hayes PL, Afif C. Comprehensive chemical characterization of PM 2.5 in the large East Mediterranean-Middle East city of Beirut, Lebanon. J Environ Sci (China) 2023; 133:118-137. [PMID: 37451782 DOI: 10.1016/j.jes.2022.07.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Revised: 06/28/2022] [Accepted: 07/07/2022] [Indexed: 07/18/2023]
Abstract
The chemical composition of PM2.5 at two sites in Lebanon, a country in the East Mediterranean - Middle East region, is investigated in the spring and summer seasons. The average PM2.5 concentrations were of (29 ± 16) µg/m3 for Beirut urban site and (32 ± 14) µg/m3 for Beirut suburban site. This study showed that the geographic location of the East Mediterranean region, such as its proximity to the Mediterranean Sea and the dust storm intrusion are a significant contributor to the high PM levels from natural sources, which cannot be mitigated, rendering the PM2.5 WHO annual Air Quality guideline unattainable due to high natural background, which also applies to the entire Middle East region. Turkey and Eastern Europe are the dominant origin of air masses throughout our sampling days, suggesting the long-range transport as an important potential contributor to the high observed concentrations of V, Ni, and sulfate in this region most probably in other East Mediterranean countries than Lebanon too. Main local sources determined through the chemical speciation including organics are road transport, resuspension of dust and diesel private generators. A health risk assessment of airborne metals was performed and the carcinogenic risk for all the metals exceeded by 42 (adults) and 14 (children) times the acceptable risk level (10-6) at both sites. Vanadium was the predominant carcinogenic metal, emphasizing the need to replace energy production with cleaner energy on a regional level and highlighting the severe impact of air pollution on the health of inhabitants in this region's main cities.
Collapse
Affiliation(s)
- Nansi Fakhri
- EMMA Research Group, Centre d' Analyses et de Recherche, Faculty of Sciences, Université Saint-Joseph, Beirut, Lebanon; Department of Chemistry, Faculty of Sciences, Université de Montréal, Montréal, Québec, Canada
| | - Marc Fadel
- EMMA Research Group, Centre d' Analyses et de Recherche, Faculty of Sciences, Université Saint-Joseph, Beirut, Lebanon
| | - Fatma Öztürk
- Environmental Engineering Department, Faculty of Engineering, Bolu Abant Izzet Baysal University, Bolu, Turkey
| | - Melek Keleş
- Environmental Engineering Department, Faculty of Engineering, Bolu Abant Izzet Baysal University, Bolu, Turkey
| | - Minas Iakovides
- Climate and Atmosphere Research Center (CARE-C), The Cyprus Institute, Nicosia, Cyprus
| | - Michael Pikridas
- Climate and Atmosphere Research Center (CARE-C), The Cyprus Institute, Nicosia, Cyprus
| | - Charbel Abdallah
- EMMA Research Group, Centre d' Analyses et de Recherche, Faculty of Sciences, Université Saint-Joseph, Beirut, Lebanon
| | - Cyril Karam
- EMMA Research Group, Centre d' Analyses et de Recherche, Faculty of Sciences, Université Saint-Joseph, Beirut, Lebanon
| | - Jean Sciare
- Climate and Atmosphere Research Center (CARE-C), The Cyprus Institute, Nicosia, Cyprus
| | - Patrick L Hayes
- Department of Chemistry, Faculty of Sciences, Université de Montréal, Montréal, Québec, Canada.
| | - Charbel Afif
- EMMA Research Group, Centre d' Analyses et de Recherche, Faculty of Sciences, Université Saint-Joseph, Beirut, Lebanon; Climate and Atmosphere Research Center (CARE-C), The Cyprus Institute, Nicosia, Cyprus.
| |
Collapse
|
4
|
Fang T, Wang T, Zou C, Guo Q, Lv J, Zhang Y, Wu L, Peng J, Mao H. Heavy vehicles' non-exhaust exhibits competitive contribution to PM 2.5 compared with exhaust in port and nearby areas. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 333:122124. [PMID: 37390912 DOI: 10.1016/j.envpol.2023.122124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 06/09/2023] [Accepted: 06/27/2023] [Indexed: 07/02/2023]
Abstract
Heavy port transportation networks are increasingly considered as significant contributors of PM2.5 pollution compared to vessels in recent decades. In addition, evidence points to the non-exhaust emission of port traffic as the real driver. This study linked PM2.5 concentrations to varied locations and traffic fleet characteristics in port area through filter sampling. The coupled emission ratio-positive matrix factorisation (ER-PMF) method resolves source factors by avoiding direct overlap from collinear sources. In the port central and entrance areas, freight delivery activity emissions including vehicle exhaust and non-exhaust particles, as well as induced road dust resuspension, accounted for nearly half of the total contribution (42.5%-49.9%). In particular, the contribution of non-exhaust from denser traffic with high proportion of trucks was competitive and equivalent to 52.3% of that from exhaust. Backward trajectory statistical models further interpreted the notably larger-scale coverage of non-exhaust emissions in the port's central area. The distribution of PM2.5 were interpolated within the scope of the port and nearby urban areas, displaying the potential contribution of non-exhaust within 1.15 μg/m3-4.68 μg/m3, slightly higher than the urban detections reported nearby. This study may provide useful insights into the increasing percentage of non-exhaust from trucks in ports and nearby urban areas and facilitate supplementary data collection on Euro-VII type-approval limit settings.
Collapse
Affiliation(s)
- Tiange Fang
- Tianjin Key Laboratory of Urban Transport Emission Research & State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China
| | - Ting Wang
- Tianjin Key Laboratory of Urban Transport Emission Research & State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China.
| | - Chao Zou
- Tianjin Key Laboratory of Urban Transport Emission Research & State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China
| | - Quanyou Guo
- Tianjin Key Laboratory of Urban Transport Emission Research & State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China
| | - Jianhua Lv
- Qingdao Research Academy of Environmental Sciences, Qingdao, 266003, China
| | - Yanjie Zhang
- Tianjin Youmei Environmental Protection Technology Co., LTD, Tianjin, 300393, China
| | - Lin Wu
- Tianjin Key Laboratory of Urban Transport Emission Research & State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China
| | - Jianfei Peng
- Tianjin Key Laboratory of Urban Transport Emission Research & State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China
| | - Hongjun Mao
- Tianjin Key Laboratory of Urban Transport Emission Research & State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China.
| |
Collapse
|
5
|
Khajehpour H, Taksibi F, Hassanvand MS. Comparative review of ambient air PM 2.5 source apportioning studies in Tehran. JOURNAL OF ENVIRONMENTAL HEALTH SCIENCE & ENGINEERING 2023; 21:21-34. [PMID: 37159743 PMCID: PMC10163186 DOI: 10.1007/s40201-023-00855-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 02/19/2023] [Indexed: 05/11/2023]
Abstract
Rapid urbanization and consuming lifestyles have intensified air pollution in urban areas. Air pollution in megacities has imposed severe environmental damages to human health. Proper management of the issue necessitates identification of the share of emission sources. Therefore, numerous research works have studied the apportionment of the total emissions and observed concentrations among different emissions sources. In this research, a comprehensive review is conducted to compare the source apportioning results for ambient air PM2.5 in the megacity of Tehran, the capital of Iran. One hundred seventy-seven pieces of scientific literatures, published between 2005 and 2021, were reviewed. The reviewed research are categorized according to the source apportioning methods: emission inventory (EI), source apportionment (SA), and sensitivity analysis of the concentration to the emission sources (SNA). The possible reasons for inconsistency among the results are discussed according to the scope of the studies and the implemented methods. Although 85% of the reviewed original estimates identify that mobile sources contribute to more thant 60% of Tehran air pollution, the distribution of vehicle types and modes are clearly inconsistent among the EI studies. Our review suggests that consistent results in the SA studies in different locations in central Tehran may indicate the reliability of this method for the identification of the type and share of the emission sources. In contrast, differences among the geographical and sectoral coverage of the EI studies and the disparities among the emission factors and activity data have caused significant deviations among the reviewed EI studies. Also, it is shown that the results of the SNA studies are highly dependent on the categorization type, model capabilities and EI presumptions and data input to the pollutant dispersion modelings. As a result, integrated source apportioning in which the three methods complement each other's results is necessary for consistent air pollution management in megacities. Supplementary information The online version contains supplementary material available at 10.1007/s40201-023-00855-0.
Collapse
Affiliation(s)
- Hossein Khajehpour
- Department of Energy Engineering, Sharif University of Technology, Tehran, Iran
| | - Farzaneh Taksibi
- Institute for the Environment, University of North Carolina at Chapel Hill, Chapel Hill, NC USA
| | - Mohammad Sadegh Hassanvand
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, 8th Floor, No. 1547, North Kargar Avenue, Tehran, Iran
| |
Collapse
|
6
|
Fakhri N, Fadel M, Pikridas M, Sciare J, Hayes PL, Afif C. Source apportionment of PM 2.5 using organic/inorganic markers and emission inventory evaluation in the East Mediterranean-Middle East city of Beirut. ENVIRONMENTAL RESEARCH 2023; 223:115446. [PMID: 36758920 DOI: 10.1016/j.envres.2023.115446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 01/21/2023] [Accepted: 02/06/2023] [Indexed: 06/18/2023]
Abstract
Source contributions to PM2.5 concentrations were evaluated in Greater Beirut (Lebanon), a typical East Mediterranean-Middle East (EMME) city, using Positive Matrix Factorization with two approaches. The first approach included only inorganic species (PMF-trad) and the other approach added organic markers (PMF-org). PMF-org identified 4 additional sources, and large discrepancies in contributions were observed for some major sources found in both approaches, highlighting the importance of including organic markers. The traffic factor was underestimated in PMF-trad by 2 to 7 folds. Moreover, results showed that this city is prone to high desert dust concentrations originating from uncontrollable dust storm events, like all cities in the Middle East. A PM2.5 mitigation plan taking into account the potency of the identified sources was developed. Sources like diesel generators or traffic presented smaller contributions in term of mass compared to desert dust, however the health impact of the latter is relatively small and actions should target sources with the highest potency. Local emission inventories in the EMME region are scarce and studies typically rely on global emission inventories for local air quality management plans, but these inventories significantly underestimate Beirut's road transport emissions by more than an order of magnitude.
Collapse
Affiliation(s)
- Nansi Fakhri
- EMMA Research Group, Centre d'Analyses et de Recherche, Faculty of Sciences, Université Saint-Joseph, Beirut, Lebanon; Department of Chemistry, Faculty of Arts and Sciences, Université de Montréal, Montréal, Québec, Canada
| | - Marc Fadel
- EMMA Research Group, Centre d'Analyses et de Recherche, Faculty of Sciences, Université Saint-Joseph, Beirut, Lebanon
| | - Michael Pikridas
- Climate and Atmosphere Research Center (CARE-C), The Cyprus Institute, Nicosia, Cyprus
| | - Jean Sciare
- Climate and Atmosphere Research Center (CARE-C), The Cyprus Institute, Nicosia, Cyprus
| | - Patrick L Hayes
- Department of Chemistry, Faculty of Arts and Sciences, Université de Montréal, Montréal, Québec, Canada.
| | - Charbel Afif
- EMMA Research Group, Centre d'Analyses et de Recherche, Faculty of Sciences, Université Saint-Joseph, Beirut, Lebanon; Climate and Atmosphere Research Center (CARE-C), The Cyprus Institute, Nicosia, Cyprus.
| |
Collapse
|
7
|
Moyebi OD, Fatmi Z, Carpenter DO, Santoso M, Siddique A, Khan K, Zeb J, Hussain MM, Khwaja HA. Fine particulate matter and its chemical constituents' levels: A troubling environmental and human health situation in Karachi, Pakistan. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 868:161474. [PMID: 36646217 DOI: 10.1016/j.scitotenv.2023.161474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 01/02/2023] [Accepted: 01/04/2023] [Indexed: 06/17/2023]
Abstract
Like many urban centers in developing countries, the effect of air pollution in Karachi is understudied. The goal of this study was to determine the chemical characterization, temporal and seasonal variability, sources, and health impacts of fine particulate matter (PM2.5) in Karachi, Pakistan. Daily samples of PM2.5 were collected using a low-volume air sampler at two different sites (Makro and Karachi University) over the four seasons between October 2009 and August 2010. Samples were analyzed for black carbon (BC), trace metals, and water-soluble ions. Results showed that the annual average concentrations of PM2.5 at Makro and Karachi University were 114 ± 115 and 71.7 ± 56.4 μg m-3, respectively, about 22.8 and 14.3-fold higher than the World Health Organization annual guideline of 5 μg m-3. BC concentrations were 3.39 ± 1.97 and 2.70 ± 2.06 μg m-3, respectively. The concentrations of PM2.5, BC, trace metals, and ions at the two sites showed clear seasonal trends, with higher concentrations in winter and lower concentrations in summer. The trace metals and ionic species with the highest concentrations were Pb, S, Zn, Ca, Si, Cl, Fe, and SO42-. The air quality index in the fall and winter at both sites was about 68 %, which is "unhealthy" for the general population. Positive Matrix Factorization revealed the overall contribution to PM2.5 at the Makro site came from three major sources - industrial emissions (13.3 %), vehicular emissions (59.1 %), and oil combustion (23.3 %). The estimates of expected number of deaths due to short-term exposure to PM2.5 were high in the fall and winter at both sites, with an annual mean estimate of 3592 expected number of deaths at the Makro site. Attention should be paid to the reduction of inorganic pollutants from industrial facilities, vehicular traffic, and fossil fuel combustion, due to their extremely high contribution to PM2.5 mass and health risks.
Collapse
Affiliation(s)
- Omosehin D Moyebi
- Department of Environmental Health Sciences, School of Public Health, University at Albany, Albany, NY, USA; Wadsworth Center, New York State Department of Health, Albany, NY, USA.
| | - Zafar Fatmi
- Environmental-Occupational Health & Climate Change Section, Department of Community Health Sciences, The Aga Khan University, Karachi, Pakistan
| | - David O Carpenter
- Institute for the Health and the Environment, University at Albany, Albany, NY, USA
| | | | - Azhar Siddique
- Qatar Environment and Energy Research Institute, Hamad Bin Khalifa University, Doha, Qatar
| | - Kamran Khan
- Chemistry Department, University of Karachi, Karachi, Pakistan
| | - Jahan Zeb
- Department of Environmental and Health Research, The Custodian of the Holy Two Mosques Institute for Hajj and Umrah Research, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Mirza M Hussain
- Department of Environmental Health Sciences, School of Public Health, University at Albany, Albany, NY, USA; Wadsworth Center, New York State Department of Health, Albany, NY, USA
| | - Haider A Khwaja
- Department of Environmental Health Sciences, School of Public Health, University at Albany, Albany, NY, USA; Wadsworth Center, New York State Department of Health, Albany, NY, USA
| |
Collapse
|
8
|
Shams Solari M, Ashrafi K, Pardakhti A, Hassanvand MS, Arhami M. Meteorological dependence, source identification, and carcinogenic risk assessment of PM 2.5-bound Polycyclic Aromatic Hydrocarbons (PAHs) in high-traffic roadside, urban background, and remote suburban area. JOURNAL OF ENVIRONMENTAL HEALTH SCIENCE & ENGINEERING 2022; 20:813-826. [PMID: 36406605 PMCID: PMC9672248 DOI: 10.1007/s40201-022-00821-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 07/31/2022] [Indexed: 06/16/2023]
Abstract
The Polycyclic Aromatic Hydrocarbons (PAHs) bound to ambient fine Particular Matter (PM2.5) are currently drawing a lot of attention due to their adverse health effects increasing lung cancer risk in humans. In this study, The PM2.5 samples were collected by high volume air samplers simultaneously from three different sites (high-traffic roadside, urban background, and remote suburban) in Tehran, Iran during warm and cold seasons (from July 2018 to March 2019), and 16 PAHs were analyzed using Gas Chromatography-Mass Spectrometry (GC-MS). Unlike previous studies, a remote suburban area was chosen so as to observe the spatial differentiation in PM2.5-bound PAH characteristics. In high-traffic roadside site, the average concentration of total PM2.5-bound PAHs (ƩPAHs) was 3.7 times the concentration value in remote suburban area. Average (ƩPAHs) ranged from 5.54 ng/m3 for remote suburban area to 20.67 ng/m3 for high-traffic roadside site. In all sites, seasonal trends of PAH concentrations elucidated high concentrations in the cold season and low concentrations in the warm season. Correlation analysis between ƩPAHs and atmospheric factors (meteorology parameters and criteria air pollutants) indicated the heterogeneous processes play an important role in the level of PAHs. The results of diagnostic ratio (DR) analysis disclosed that the dominant source of PM2.5-bound PAHs was the combustion of liquid fossil fuels. Despite the fact that incremental lifetime cancer risk (ILCR) via inhaling PM2.5-bound PAHs varied significantly in high-traffic roadside site and remote suburban site, its value was beyond the acceptable risk level in both sites. Our results suggested that effective regulations are needed to monitor PAHs concentrations and reduce PAHs emissions from liquid fossil fuel combustion so as to mitigate the potential carcinogenic risk of PAHs in ambient air. Supplementary Information The online version contains supplementary material available at 10.1007/s40201-022-00821-2.
Collapse
Affiliation(s)
- Mohsen Shams Solari
- Faculty of Environment, University of Tehran, 15 Ghods St, Enghelab Ave, Tehran, 14155-6135 Iran
| | - Khosro Ashrafi
- Faculty of Environment, University of Tehran, 15 Ghods St, Enghelab Ave, Tehran, 14155-6135 Iran
| | - Alireza Pardakhti
- Faculty of Environment, University of Tehran, 15 Ghods St, Enghelab Ave, Tehran, 14155-6135 Iran
| | - Mohammad Sadegh Hassanvand
- Center for Air Pollution Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Arhami
- Department of Civil Engineering, Sharif University of Technology, Tehran, Iran
| |
Collapse
|
9
|
Xue Q, Tian Y, Wei Y, Song D, Huang F, Tian S, Feng Y. Seasonal variation and source apportionment of inorganic and organic components in PM 2.5: influence of organic markers application on PMF source apportionment. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:79002-79015. [PMID: 35704234 DOI: 10.1007/s11356-022-21332-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 05/31/2022] [Indexed: 06/15/2023]
Abstract
PM2.5 samples collected over a 1-year period in a Chinese megacity were analyzed for organic carbon (OC), elemental carbon (EC), water-soluble ions, elements, and organic markers such as polycyclic aromatic hydrocarbons (PAHs), hopanes, steranes, and n-alkanes. To study the applicability of organic markers in source apportionment, the relationship between organic and inorganic components was analyzed, and four scenarios were implemented by incorporating different combinations of organic and inorganic tracers. The consistent temporal variations trend of 4-ring PAHs and SO42- prove that coal burning directly emits a portion of sulfate. The concentrations of ∑5-7-ring PAHs, NO3-, and NO2 show a trend of simultaneous increase and decrease, implying collective impacts from the vehicle source. The concentrations of OC and EC positively correlate with the 5-7-ring PAHs and Cu and Zn, which proves that part of Cu and Zn comes from vehicle emissions. Five factors were identified by incorporating only conventional components, including secondary source (SS, 30%), fugitive dust (FD, 14%), construction dust (CD, 4%), traffic source (TS, 19%), and coal combustion (CC, 14%). Six factors were identified by incorporating conventional components and PAHs, including SS (28%), FD (15%), CD (4%), CC (13%), gasoline vehicles (GV, 12%), and diesel vehicles (DV, 10%). Eight factors were identified by incorporating conventional components, PAHs, hopanes, and n-alkanes, including SS (26%), FD (17%), CD (3%), GV (14%), DV (8%), immature coal combustion (ICC, 5%), mature coal combustion (MCC, 10%), and biogenic source (BS, 1%).
Collapse
Affiliation(s)
- Qianqian Xue
- The State Environmental Protection Key Laboratory of Urban Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China
| | - Yingze Tian
- The State Environmental Protection Key Laboratory of Urban Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China.
- CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER/CMA-NKU), Tianjin, 300374, China.
| | - Yang Wei
- The State Environmental Protection Key Laboratory of Urban Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China
| | - Danlin Song
- Chengdu Research Academy of Environmental Sciences, Chengdu, 610072, China
| | - Fengxia Huang
- Chengdu Research Academy of Environmental Sciences, Chengdu, 610072, China
| | - Shanshan Tian
- The State Environmental Protection Key Laboratory of Urban Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China
| | - Yinchang Feng
- The State Environmental Protection Key Laboratory of Urban Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin, 300350, China
- CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER/CMA-NKU), Tianjin, 300374, China
| |
Collapse
|
10
|
From dust to the sources: The first quantitative assessment of the relative contributions of emissions sources to elements (toxic and non-toxic) in the urban roads of Tehran, Iran. Microchem J 2022. [DOI: 10.1016/j.microc.2022.107817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
|
11
|
Faridi S, Yousefian F, Roostaei V, Harrison RM, Azimi F, Niazi S, Naddafi K, Momeniha F, Malkawi M, Moh'd Safi HA, Rad MK, Hassanvand MS. Source apportionment, identification and characterization, and emission inventory of ambient particulate matter in 22 Eastern Mediterranean Region countries: A systematic review and recommendations for good practice. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 310:119889. [PMID: 35932896 DOI: 10.1016/j.envpol.2022.119889] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 07/16/2022] [Accepted: 07/31/2022] [Indexed: 06/15/2023]
Abstract
Little is known about the main sources of ambient particulate matter (PM) in the 22 Eastern Mediterranean Region (EMR) countries. We designed this study to systematically review all published and unpublished source apportionment (SA), identification and characterization studies as well as emission inventories in the EMR. Of 440 articles identified, 82 (11 emission inventory ones) met our inclusion criteria for final analyses. Of 22 EMR countries, Iran with 30 articles had the highest number of studies on source specific PM followed by Pakistan (n = 15 articles) and Saudi Arabia (n = 8 papers). By contrast, there were no studies in Afghanistan, Bahrain, Djibouti, Libya, Somalia, Sudan, Syria, Tunisia, United Arab Emirates and Yemen. Approximately 72% of studies (51) were published within a span of 2015-2021.48 studies identified the sources of PM2.5 and its constituents. Positive matrix factorization (PMF), principal component analysis (PCA) and chemical mass balance (CMB) were the most common approaches to identify the source contributions of ambient PM. Both secondary aerosols and dust, with 12-51% and 8-80% (33% and 30% for all EMR countries, on average) had the greatest contributions in ambient PM2.5. The remaining sources for ambient PM2.5, including mixed sources (traffic, industry and residential (TIR)), traffic, industries, biomass burning, and sea salt were in the range of approximately 4-69%, 4-49%, 1-53%, 7-25% and 3-29%, respectively. For PM10, the most dominant source was dust with 7-95% (49% for all EMR countries, on average). The limited number of SA studies in the EMR countries (one study per approximately 9.6 million people) in comparison to Europe and North America (1 study per 4.3 and 2.1 million people respectively) can be augmented by future studies that will provide a better understanding of emission sources in the urban environment.
Collapse
Affiliation(s)
- Sasan Faridi
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Yousefian
- Department of Environmental Health Engineering, Faculty of Health, Kashan University of Medical Sciences, Kashan, Iran
| | - Vahid Roostaei
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Roy M Harrison
- School of Geography Earth and Environmental Science, University of Birmingham, Birmingham, UK; Department of Environmental Sciences, Faculty of Meteorology, Environment and Arid Land Agriculture, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Faramarz Azimi
- Environmental Health Research Center, School of Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran
| | - Sadegh Niazi
- International Laboratory for Air Quality and Health, School of Earth and Atmospheric Sciences, Science and Engineering Faculty, Queensland University of Technology (QUT), Brisbane, Queensland, Australia
| | - Kazem Naddafi
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Momeniha
- Center for Solid Waste Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran
| | - Mazen Malkawi
- Environmental Health Exposures Centre for Environmental Health Action (CEHA), World Health Organization (WHO), Jordan
| | - Heba Adel Moh'd Safi
- Environmental Health Exposures Centre for Environmental Health Action (CEHA), World Health Organization (WHO), Jordan
| | - Mona Khaleghy Rad
- Environmental Health Exposures Centre for Environmental Health Action (CEHA), World Health Organization (WHO), Jordan
| | - Mohammad Sadegh Hassanvand
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran; Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
| |
Collapse
|
12
|
Dao X, Di S, Zhang X, Gao P, Wang L, Yan L, Tang G, He L, Krafft T, Zhang F. Composition and sources of particulate matter in the Beijing-Tianjin-Hebei region and its surrounding areas during the heating season. CHEMOSPHERE 2022; 291:132779. [PMID: 34742769 DOI: 10.1016/j.chemosphere.2021.132779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 10/25/2021] [Accepted: 11/02/2021] [Indexed: 06/13/2023]
Abstract
This paper aimed to analyze the composition and pollution sources of particulate matter (PM) in the Beijing-Tianjin-Hebei region and its surrounding areas (henceforth the BTH region) during the heating season to support the mitigation and control of regional air pollution. Manual monitoring data from the China National Environmental Monitoring Network for Atmospheric PM in the BTH region were collected and analyzed during the 2016 and 2018 heating seasons. The positive definite matrix factor analysis (PMF) model was used to analyze the PM sources in BTH cities during the heating season. The main PM components were organic matter (OM), nitrate (NO3-), sulfate (SO42-) and ammonium salt (NH4+). Direct emission sources have decreased since 2016, indicating the effectiveness of governmental controls on these sources; however, secondary pollution showed an increasing trend, suggesting control measures should be strengthened. Daily regional average concentrations of OM, SO42-, NH4+, elemental carbon (EC), chloride (Cl-) and trace elements all showed similar trends. When air quality worsened, the concentrations of the main PM components increased, but trends of change varied among components. In 2018, concentrations of OM and chloride were highest in the Taihang Mountains, and NO3 concentrations were highest in Anyang, Hebi, Jiaozuo and Xinxiang. The SO42- concentration was highest in the southern section of the Taihang Mountains. The NH4+ and EC concentrations were generally highest in the central and southern regions. The concentration of crustal substances was highest in some cities in the north and central parts of the BTH region. In the 2018 heating season, the pollution level of five transmission channels showed an increasing trend in the Northwest, Southeast, Yanshan, South and Taihang Mountain channels. These findings provide a scientific basis for the continued management of atmospheric PM pollution.
Collapse
Affiliation(s)
- Xu Dao
- China National Environmental Monitoring Centre, Beijing, 100012, China
| | - Shiying Di
- China National Environmental Monitoring Centre, Beijing, 100012, China
| | - Xian Zhang
- China National Environmental Monitoring Centre, Beijing, 100012, China
| | - Panjun Gao
- Department of Health, Ethics & Society, CAPHRI Care and Public Health Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - Li Wang
- Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China
| | - Luyu Yan
- China National Environmental Monitoring Centre, Beijing, 100012, China
| | - Guigang Tang
- China National Environmental Monitoring Centre, Beijing, 100012, China
| | - Lihuan He
- China National Environmental Monitoring Centre, Beijing, 100012, China
| | - Thomas Krafft
- Department of Health, Ethics & Society, CAPHRI Care and Public Health Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - Fengying Zhang
- China National Environmental Monitoring Centre, Beijing, 100012, China; Department of Health, Ethics & Society, CAPHRI Care and Public Health Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands.
| |
Collapse
|
13
|
Potential Risks of PM 2.5-Bound Polycyclic Aromatic Hydrocarbons and Heavy Metals from Inland and Marine Directions for a Marine Background Site in North China. TOXICS 2022; 10:toxics10010032. [PMID: 35051074 PMCID: PMC8779893 DOI: 10.3390/toxics10010032] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 01/02/2022] [Accepted: 01/05/2022] [Indexed: 02/02/2023]
Abstract
Ambient PM2.5-bound ions, OC, EC, heavy metals (HMs), 18 polycyclic aromatic hydrocarbons (PAHs), 7 hopanes, and 29 n-alkanes were detected at Tuoji Island (TI), the only marine background atmospheric monitoring station in North China. The annual PM2.5 average concentration was 47 ± 31 μg m-3, and the average concentrations of the compositions in PM2.5 were higher in cold seasons than in warm seasons. The cancer and non-cancer risks of HMs and PAHs in cold seasons were also higher than in warm seasons. BaP, Ni, and As dominated the ∑HQ (hazard quotient) in cold seasons, while the non-carcinogenic risk in warm seasons was mainly dominated by Ni, Mn, and As. The ILCR (incremental lifetime cancer risk) values associated with Cr and As were higher in the cold season, while ILCR-Ni values were higher in the warm season. The backward trajectory was calculated to identify the potential directions of air mass at TI. Through the diagnostic ratios of organic and inorganic tracers, the sources of particulate matter in different directions were judged. It was found that ship emissions and sea salt were the main sources from marine directions, while coal combustion, vehicles emissions, industrial process, and secondary aerosols were the main source categories for inland directions. In addition, potential HM and PAH risks from inland and marine directions were explored. The non-cancerous effects of TI were mainly affected by inland transport, especially from the southeast, northwest, and west-northwest. The cancerous effects of TI were mainly simultaneously affected by the inland direction and marine direction of transport.
Collapse
|
14
|
Wang M, Tian P, Wang L, Yu Z, Du T, Chen Q, Guan X, Guo Y, Zhang M, Tang C, Chang Y, Shi J, Liang J, Cao X, Zhang L. High contribution of vehicle emissions to fine particulate pollutions in Lanzhou, Northwest China based on high-resolution online data source appointment. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 798:149310. [PMID: 34340091 DOI: 10.1016/j.scitotenv.2021.149310] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 07/20/2021] [Accepted: 07/23/2021] [Indexed: 06/13/2023]
Abstract
The quantitative estimation of urban particulate matter (PM) sources is essential but limited because of various reasons. The hourly online data of PM2.5, organic carbon (OC), elemental carbon (EC), water-soluble ions, and elements from December 2019 to November 2020 was used to conduct PM source appointment, with an emphasis on the contribution of vehicle emissions to fine PM pollution in downtown Lanzhou, Northwest China. Vehicle emissions, secondary formation, mineral dust, and coal combustion were found to be the major PM sources using the positive matrix factorization model. The seasonal mean PM2.5 were estimated to be 72.8, 39.2, 24.3, and 43.6 μg·m-3 and vehicle emissions accounted for 35.7%, 25.8%, 30.0%, and 56.6% in winter, spring, summer, and autumn, respectively. Vehicle emissions were the largest source of PM considering the high PM pollution in winter and its significantly large contribution in autumn. Furthermore, the contribution of vehicle emissions increased with increasing PM in winter and autumn. Vehicle emissions were also the most important source of EC, accounting for 70.3%, 91.0%, 83.5%, and 93.7% of the total EC in winter, spring, summer, and autumn, respectively. With the reduction in industrial emissions and increase in vehicle numbers in China in recent years, vehicle emissions are going to be the largest source of urban PM pollution. To sustainably improve air quality in Lanzhou and other Chinese cities, efforts should be made to control vehicle emissions such as promoting clean-energy vehicles and encouraging public transportation.
Collapse
Affiliation(s)
- Min Wang
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
| | - Pengfei Tian
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China.
| | - Ligong Wang
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
| | - Zeren Yu
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
| | - Tao Du
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
| | - Qiang Chen
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
| | - Xu Guan
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
| | - Yumin Guo
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
| | - Min Zhang
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
| | - Chenguang Tang
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
| | - Yi Chang
- Gansu Province Environmental Monitoring Center, Lanzhou 730020, China
| | - Jinsen Shi
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China; Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou 730000, China
| | - Jiening Liang
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
| | - Xianjie Cao
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
| | - Lei Zhang
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China; Collaborative Innovation Center for Western Ecological Safety, Lanzhou University, Lanzhou 730000, China
| |
Collapse
|
15
|
Aminiyan MM, Kalantzi OI, Etesami H, Khamoshi SE, Hajiali Begloo R, Aminiyan FM. Occurrence and source apportionment of polycyclic aromatic hydrocarbons (PAHs) in dust of an emerging industrial city in Iran: implications for human health. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:63359-63376. [PMID: 34231139 DOI: 10.1007/s11356-021-14839-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 06/07/2021] [Indexed: 06/13/2023]
Abstract
Polycyclic aromatic hydrocarbons (PAHs) bounded to street dust are a severe environmental and human health danger. This study provides preliminary information on the abundance of PAHs in street dust from Rafsanjan city, Iran, where industrial emissions are high and data are lacking. Seventy street dust samples were collected from streets with different traffic loads. The United States Environmental Protection Agency (USEPA) Standard Methods 8270D and 3550C were used for the measurement of PAHs using GC mass spectroscopy. The total concentration of PAHs was 1443 ng g-1, with a range of 1380-1550 ng g-1. Additionally, the concentration of carcinogenic PAHs (∑carcPAHs) ranged from 729.5 to 889.4 ng g-1, with a mean value of 798.1 ng g-1. Pyrene was the most abundant PAH, with an average concentration of 257 ng g-1. Source identification analyses showed that vehicle emissions along with incomplete combustion and petroleum were the main sources of PAHs. The ecological risk status of the studied area was moderate. Spatial distribution mapping revealed that the streets around the city center and oil company had higher PAH levels than the other sectors of Rafsanjan. The results indicated that dermal contact and ingestion of contaminated particles were the most important pathways compared to inhalation. The mean incremental lifetime cancer risk (ILCR) was 1.4 × 10-3 and 1.3 × 10-3 for children and adults, respectively. This implies potentially adverse health effects in exposed individuals. The mutagenic risk for both subpopulations was approximately 18 times greater than the one recommended by USEPA. Our findings suggest that children are subjected to a higher carcinogenic and mutagenic risk of PAHs, especially dibenzo[a,h]anthracene (DahA), bounded to street dust of Rafsanjan. Our study highlights the need for the development of emission monitoring and control scenarios.
Collapse
Affiliation(s)
- Milad Mirzaei Aminiyan
- Department of Soil Science, College of Agriculture and Natural Resources, University of Tehran, Tehran, Iran.
| | | | - Hassan Etesami
- Department of Soil Science, College of Agriculture and Natural Resources, University of Tehran, Tehran, Iran
| | - Seyyed Erfan Khamoshi
- Department of Soil Science, College of Agriculture and Natural Resources, University of Tehran, Tehran, Iran
| | - Raziyeh Hajiali Begloo
- School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Mirzaei Aminiyan
- Civil Engineering Department, College of Engineering, Vali-e-Asr Rafsanjan University, Rafsanjan, Iran
| |
Collapse
|
16
|
Yeganeh B, Khuzestani RB, Taheri A, Schauer JJ. Temporal trends in the spatial-scale contributions to black carbon in a Middle Eastern megacity. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 792:148364. [PMID: 34146815 DOI: 10.1016/j.scitotenv.2021.148364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Revised: 06/02/2021] [Accepted: 06/06/2021] [Indexed: 06/12/2023]
Abstract
The analysis of high-resolution changes in black carbon (BC) concentrations was examined to distinguish and quantify various spatial-scale contributions to BC concentrations from nearby sources within 1 km distance to ranges of emission sources distributed over a larger city scale spanning tens of kilometers. Our analysis illustrated that BC emissions on the neighborhood scale only contribute a minor fraction (~15%) to total BC concentrations in the megacity of Tehran. Approximately 62% of the total black carbon is part of the city emissions, and around 23% is transported into the city from local nearby surroundings. Our analysis in highly polluted areas, including industrial and traffic hotspots in Tehran, demonstrated that the contributions of the urban mixture were relatively smaller than the average (~56%) in highly polluted areas; however, larger local-scale (~30%) contributions were observed in these areas. Our analysis in traffic hotspot areas also demonstrated significantly smaller contributions of BC from neighborhood surroundings (~9%). These results imply that the city-scale BC emissions in Tehran are a major contributor to BC exposures even in locations with local high-emitting sources. Polar annulus analysis of BC from city-scales in Tehran showed a mixture of hotspot locations ranging from north to easterly directions implying that city-scale emissions contribute to wider pollution plume expansions and larger-scale transport and vertical mixing corresponding to mixtures of emitters located further away.
Collapse
Affiliation(s)
- Bijan Yeganeh
- Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University, Tehran, Iran; Centre for Air Pollution, Energy and Health Research (CAR), Glebe, New South Wales 2037, Australia
| | - Reza Bashiri Khuzestani
- Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University, Tehran, Iran.
| | - Ahmad Taheri
- Tehran Air Quality Control Company, Tehran Municipality, Tehran, Iran
| | - James J Schauer
- Civil and Environmental Engineering Department, University of Wisconsin-Madison, WI, USA
| |
Collapse
|
17
|
Ali-Taleshi MS, Squizzato S, Riyahi Bakhtiari A, Moeinaddini M, Masiol M. Using a hybrid approach to apportion potential source locations contributing to excess cancer risk of PM 2.5-bound PAHs during heating and non-heating periods in a megacity in the Middle East. ENVIRONMENTAL RESEARCH 2021; 201:111617. [PMID: 34228953 DOI: 10.1016/j.envres.2021.111617] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 06/25/2021] [Accepted: 06/26/2021] [Indexed: 06/13/2023]
Abstract
Polycyclic aromatic hydrocarbons (PAHs) represent one of the major toxic pollutants associated with PM2.5 with significant human health and climate effects. Because of local and long-range transport of atmospheric PAHs to receptor sites, higher global attentions have been focused to improve PAHs pollution emission management. In this study, PM2.5 samples were collected at three urban sites located in the capital of Iran, Tehran, during the heating and non-heating periods (H-period and NH-period). The US EPA 16 priority PAHs were analyzed and the data were processed to the following detailed aims: (i) investigate the H-period and NH-period variations of PM2.5 and PM2.5-bound PAHs concentrations; (ii) identify the PAHs sources and the source locations during the two periods; (iii) carry out a source-specific excess cancer risk (ECR) assessment highlighting the potential source locations contributing to the ECR using a hybrid approach. Total PAHs (TPAHs) showed significantly higher concentrations (1.56-1.89 times) during the H-period. Among the identified PAHs compounds, statistically significant periodical differences (p-value < 0.05) were observed only between eight PAHs species (Nap, BaA, Chr, BbF, BkF, BaP, IcdP, and DahA) at all three sampling sites which can be due to the significant differences of PAHs emission sources during H and NH-periods. High molecular weight (HMW) PAHs accounted for 52.7% and 46.8% on average of TPAHs during the H-period and NH-period, respectively. Positive matrix factorization (PMF) led to identifying four main PAHs sources including industrial emissions, petrogenic emissions, biomass burning and natural gas emissions, and vehicle exhaust emissions. Industrial and petrogenic emissions exhibited the highest contribution (19.8%, 27.2%, respectively) during the NH-period, while vehicle exhaust and biomass burning-natural gas emissions showed the largest contribution (40.7%, 29.6%, respectively) during the H-period. Concentration weighted trajectory (CWT) on factor contributions was used for tracking the potential locations of the identified sources. In addition to local sources, long-range transport contributed to a significant fraction of TPHAs in Tehran both during the H- and NH-periods. Source-specific carcinogenic risks assessment apportioned vehicle exhaust (44.2%, 2.52 × 10-4) and biomass burning-natural gas emissions (33.9%, 8.31 × 10-5) as the main cancer risk contributors during the H-period and NH-period, respectively. CWT maps pointed out the different distribution patterns associated with the cancer risk from the identified sources. This will allow better risk management through the identification of priority PAHs sources.
Collapse
Affiliation(s)
| | - Stefania Squizzato
- Dipartimento di Scienze Ambientali Informatica e Statistica, Università Ca' Foscari Venezia, Venezia, Italy.
| | - Alireza Riyahi Bakhtiari
- Department of Environment, Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor, Mazandaran, Iran
| | - Mazaher Moeinaddini
- Department of Environment, Faculty of Natural Resources, University of Tehran, Karaj, Iran
| | - Mauro Masiol
- Dipartimento di Scienze Ambientali Informatica e Statistica, Università Ca' Foscari Venezia, Venezia, Italy
| |
Collapse
|
18
|
Determination and Similarity Analysis of PM2.5 Emission Source Profiles Based on Organic Markers for Monterrey, Mexico. ATMOSPHERE 2021. [DOI: 10.3390/atmos12050554] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Source attribution of airborne particulate matter (PM) relies on a host of different chemical species. Organic molecular markers are a set of particularly useful marker compounds for estimating source contributions to the fine PM fraction (i.e., PM2.5). Although there are many source apportionment studies based on organic markers, these studies heavily rely on the few studies that report region-specific emission profiles. Source attribution efforts, particularly those conducted in countries with emerging economies, benefit from ad hoc information to conduct the corresponding analyses. In this study, we report organic molecular marker source profiles for PM2.5 emitted from 12 major sources types from five general source categories (meat cooking operations, vehicle exhausts, industries, biomass and trash burning, and urban background) for the Monterrey Metropolitan Area (Mexico). Source emission samples were obtained from a ground-based source-dominated sampling approach. Filter-based instruments were utilized, and the loaded filters were chemically characterized for organic markers by GC-MS. Levoglucosan and cholesterol dominate charbroiled-cooking operation sources while methoxyphenols, PAHs and hopanes dominate open-waste burning, vehicle exhaust and industrial emissions, respectively. A statistical analysis showed values of the Pearson distance < 0.4 and the similarity identity distance > 0.8 in all cases, indicating dissimilar source profiles. This was supported by the coefficient of divergence average values that ranged from 0.62 to 0.72. These profiles could further be utilized in receptor models to conduct source apportionment in regions with similar characteristics and can also be used to develop air pollution abatement strategies.
Collapse
|
19
|
Ali-Taleshi MS, Moeinaddini M, Riyahi Bakhtiari A, Feiznia S, Squizzato S, Bourliva A. A one-year monitoring of spatiotemporal variations of PM 2.5-bound PAHs in Tehran, Iran: Source apportionment, local and regional sources origins and source-specific cancer risk assessment. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 274:115883. [PMID: 33189444 DOI: 10.1016/j.envpol.2020.115883] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 10/13/2020] [Accepted: 10/14/2020] [Indexed: 06/11/2023]
Abstract
PM2.5-bound PAHs were analyzed in a total of 135 daily samples collected during four seasons from 2018 to 2019, at three urban sites in Tehran, Iran. This study aims to investigate spatio-temporal variations, source apportionment, potential local and regional sources contributions and lung cancer risks associated with the 16 US EPA priority PAHs. PM2.5 concentrations ranged from 43.8 to 80.3 μg m-3 with the highest concentrations observed in summer. Total PAHs (TPAHs) concentrations ranged between 24.6 and 38.9 ng m-3. Autumn period exhibited the highest average concentration (48.3 ng m-3) followed by winter (29.5 ng m-3), spring (25.9 ng m-3) and summer (16.1 ng m-3). Five PAHs sources were identified by positive matrix factorization (PMF) analysis: diesel exhaust, unburned petroleum-petrogenic, industrial, gasoline exhaust and coal/biomass combustion-natural gas emissions, accounting for 22.3%, 15.6%, 7.5%, 30.9%, and 23.6% of TPAHs, respectively. Site-specific bivariate polar (BP) and conditional bivariate probability function (CBPF) plots were computed to assess PM2.5 and TPAHs local source locations. CBPF pointed out that TPHAs sources are likely of local origin, showing the highest probability close to the sampling sites associated with low wind speed (<5 m s-1). The potential source contribution function (PSCF) and the concentration weighted trajectory (CWT) models were applied to investigate the long-range transport of PM2.5 and TPAHs. In addition to local sources contributions, Eastern areas were highly related to long-distance transport of PM2.5 and the Western areas showed the highest contribution of the total, medium molecular weight (MMW) (4 rings) and high molecular weight (HMW) (5-6 rings) PAHs. The upper bound of incremental lifetime cancer risk (ILCR) via inhalation exposure to PM2.5-bound PAHs was at a moderate risk level (3.14 × 10-4 to 6.17 × 10-4).
Collapse
Affiliation(s)
| | - Mazaher Moeinaddini
- Department of Environment, Faculty of Natural Resources, University of Tehran, Karaj, Iran
| | - Alireza Riyahi Bakhtiari
- Department of Environment, Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor, Mazandaran, Iran
| | - Sadat Feiznia
- Department of Reclamation of Arid and Mountainous Regions, Faculty of Natural Resources, University of Tehran, Karaj, Iran
| | - Stefania Squizzato
- Dipartimento di Scienze Ambientali Informatica e Statistica, Università Ca' Foscari Venezia, Venezia, Italy.
| | - Anna Bourliva
- Department of Geophysics, School of Geology, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece
| |
Collapse
|
20
|
Li Y, Liu B, Xue Z, Zhang Y, Sun X, Song C, Dai Q, Fu R, Tai Y, Gao J, Zheng Y, Feng Y. Chemical characteristics and source apportionment of PM 2.5 using PMF modelling coupled with 1-hr resolution online air pollutant dataset for Linfen, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 263:114532. [PMID: 32311623 DOI: 10.1016/j.envpol.2020.114532] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2019] [Revised: 03/26/2020] [Accepted: 04/03/2020] [Indexed: 05/10/2023]
Abstract
The chemical species in PM2.5 and air pollutant concentration data with 1-hr resolution were monitored synchronously between 15 November 2018 and 20 January 2019 in Linfen, China, which were analysed for multiple temporal patterns, and PM2.5 source apportionment using positive matrix factorisation (PMF) modelling coupled with online chemical species data was conducted to obtain the apportionment results of distinct temporal patterns. The mean concentration of PM2.5 was 124 μg/m3 during the heating period, and NO3- and organic carbon (OC) were the dominant species. The concentrations and percentages of NO3-, SO42-, and OC increased notably during the growth periods of haze events, thereby indicating secondary particle formation. Six factors were identified by the PMF model during the heating period, including vehicular emissions (VE: 26.5%), secondary nitrate (SN: 16.5%), coal combustion and industrial emissions (CC&IE: 25.7%), secondary sulfate and secondary organic carbon (SS&SOC: 24.4%), biomass burning (BB: 1.0%), and crustal dust (CD: 5.9%). The primary sources of PM2.5 on clean days were CD (33.3%), VE (23.1%), and SS&SOC (20.6%), while they were CC&IE (32.9%) and SS&SOC (28.3%) during the haze events. The contributions of secondary sources and CC&IE increased rapidly during the growth periods of haze events, while that of CD increased during the dissipation period. Diurnal variations in the contribution of secondary sources were mainly related to the accumulation and transformation of corresponding gaseous precursors. In comparison, contributions of CC&IE and VE varied as a function of the domestic heating load and peak levels occurred during the morning and evening rush hours. High contributions of major sources (CC&IE and SS&SOC) during haze events originated mainly from the north and south, while high contribution of a major source (CD) on clean days was from the northwest.
Collapse
Affiliation(s)
- Yafei Li
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Center for Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Baoshuang Liu
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Center for Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China.
| | - Zhigang Xue
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yufen Zhang
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Center for Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Xiaoyun Sun
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Center for Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Congbo Song
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Center for Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham B15 2TT, UK
| | - Qili Dai
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Center for Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Ruichen Fu
- Linfen Eco-Environmental Bureau, Linfen, Shanxi, 041000, China
| | - Yonggang Tai
- Linfen Eco-Environmental Bureau, Linfen, Shanxi, 041000, China
| | - Jinyu Gao
- Linfen Eco-Environmental Bureau, Linfen, Shanxi, 041000, China
| | - Yajun Zheng
- Linfen Eco-Environmental Bureau, Linfen, Shanxi, 041000, China
| | - Yinchang Feng
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control & Center for Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| |
Collapse
|