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Florêncio J, Scaramboni C, Giubbina FF, De Martinis BS, Fornaro A, Felix EP, De Oliveira TCS, Campos MLAM. Ethanol, acetaldehyde, and methanol in the gas phase and rainwater in different biomes and urban regions of Brazil. Sci Total Environ 2024; 929:172629. [PMID: 38649057 DOI: 10.1016/j.scitotenv.2024.172629] [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: 02/26/2024] [Revised: 04/16/2024] [Accepted: 04/18/2024] [Indexed: 04/25/2024]
Abstract
In the context of the increasing global use of ethanol biofuel, this work investigates the concentrations of ethanol, methanol, and acetaldehyde, in both the gaseous phase and rainwater, across six diverse urban regions and biomes in Brazil, a country where ethanol accounts for nearly half the light-duty vehicular fuel consumption. Atmospheric ethanol median concentrations in São Paulo (SP) (12.3 ± 12.1 ppbv) and Ribeirão Preto (RP) (12.1 ± 10.9 ppbv) were remarkably close, despite the SP vehicular fleet being ∼13 times larger. Likewise, the rainwater VWM ethanol concentration in SP (4.64 ± 0.38 μmol L-1) was only 26 % higher than in RP (3.42 ± 0.13 μmol L-1). This work demonstrated the importance of evaporative emissions, together with biomass burning, as sources of the compounds studied. The importance of biogenic emissions of methanol during forest flooding was identified in campaigns in the Amazon and Atlantic forests. Marine air masses arriving at a coastal site led to the lowest concentrations of ethanol measured in this work. Besides vehicular and biomass burning emissions, secondary formation of acetaldehyde by photochemical reactions may be relevant in urban and non-urban regions. The combined deposition flux of ethanol and methanol was 6.2 kg ha-1 year-1, avoiding oxidation to the corresponding and more toxic aldehydes. Considering the species determined here, the ozone formation potential (OFP) in RP was around two-fold higher than in SP, further evidencing the importance of emissions from regional distilleries and biomass burning, in addition to vehicles. At the forest and coastal sites, the OFP was approximately 5 times lower than at the urban sites. Our work evidenced that transition from gasoline to ethanol or ethanol blends brings the associated risk of increasing the concentrations of highly toxic aldehydes and ozone, potentially impacting the atmosphere and threatening air quality and human health in urban areas.
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Affiliation(s)
- Jacques Florêncio
- Department of Chemistry, University of São Paulo, Ribeirão Preto, SP 14040-901, Brazil
| | - Caroline Scaramboni
- Department of Chemistry, University of São Paulo, Ribeirão Preto, SP 14040-901, Brazil
| | | | | | - Adalgiza Fornaro
- Department of Atmospheric Sciences, Institute of Astronomy, Geophysics and Atmospheric Sciences, University of São Paulo, São Paulo, SP 05508-090, Brazil
| | - Erika Pereira Felix
- Department of Chemistry and Biology, Federal University of Technology - Paraná, Curitiba, PR 81280-340, Brazil
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Yong J, Xie Y, Guo H, Li Y, Sun S. Unraveling the influence of biogenic volatile organic compounds and their constituents on ozone and SOA formation within the Yellow River Basin, China. Chemosphere 2024; 353:141549. [PMID: 38408570 DOI: 10.1016/j.chemosphere.2024.141549] [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: 10/05/2023] [Revised: 01/27/2024] [Accepted: 02/23/2024] [Indexed: 02/28/2024]
Abstract
Biogenic volatile organic compounds (BVOC) assume a pivotal role during the formation stages of ozone (O3) and secondary organic aerosols (SOA), serving as their primary precursors. We used the latest MEGAN3.1 model, updated vegetation data and emission factors, combined with MODIS data analysis to simulate and estimate the integrated emissions of BVOC from nine provinces in China's Yellow River Basin in 2018. Following an extensive evaluation of the WRF-CMAQ model utilizing diverse parameters, the simulated and observed values had correlation coefficients between them that ranged from 0.94 to 0.99, implying a favorable outcome in terms of simulation efficacy. The findings from the simulation analysis reveal that the combined BVOC emissions from the nine provinces in the Yellow River Basin reached a total of 6.51 Tg in 2018. Among these provinces, Sichuan, Henan, and Shaanxi ranked highest, with emissions of 1.28 Tg, 1.04 Tg, and 0.96 Tg, respectively. BVOC emissions led to concentrations of 36.72 μg/m³ in the daily maximum 8-h ozone and 0.59 μg/m³ in the average SOA in nine provinces of the Yellow River Basin in July. Isoprene contributed the most to the O3 production with 6.31 μg/m3, and monoterpenes contributed the most to SOA production with 0.45 μg/m3. ΔSOA and ΔOzone are mainly distributed in the belts of central Sichuan Province, southern Shaanxi Province, western Henan Province, northern Qinghai Province, central Inner Mongolia, and southern Shanxi Province, and most of these areas are located 50 km around the Yellow River. O3 and SOA in Taiyuan, Xi'an, Chengdu, and Zhengzhou cities are strongly influenced by the generation of BVOCs. This study provides a reliable scientific basis for the prevention and control of air pollution in the Yellow River Basin.
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Affiliation(s)
- Jiale Yong
- College of Urban and Environmental Science, Northwest University, Xi'an, 710127, China
| | - Yuanli Xie
- College of Urban and Environmental Science, Northwest University, Xi'an, 710127, China; Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, Northwest University, Xi'an, 710127, China.
| | - Huilin Guo
- College of Urban and Environmental Science, Northwest University, Xi'an, 710127, China
| | - Yunmei Li
- College of Urban and Environmental Science, Northwest University, Xi'an, 710127, China
| | - Shaoqi Sun
- College of Urban and Environmental Science, Northwest University, Xi'an, 710127, China
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Cho SB, Song SK, Shon ZH, Moon SH. Evaluation of air quality simulation with a coupled atmosphere-ocean model: A case study on natural marine and biogenic emissions. Sci Total Environ 2023; 882:163021. [PMID: 36965729 DOI: 10.1016/j.scitotenv.2023.163021] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 02/14/2023] [Accepted: 03/19/2023] [Indexed: 06/01/2023]
Abstract
In this study, a chemical transport model (i.e., Community Multi-scale Air Quality (CMAQ) modeling system with brute-force method (BFM)) was used in combination with atmosphere-ocean coupling to evaluate the impact of natural emissions (e.g., marine dimethyl sulfide (DMS), sea salt aerosol (SSA), and biogenic compounds) on the air quality of South Korea in the spring of 2019 (May 1-31). Overall, the coupled simulation results exhibited good agreement with the observations for meteorological fields and air quality (fine particulate matter (PM2.5) and ozone (O3)) compared to those obtained using the non-coupled simulation. The coupling effect in the study area tended to be strong in the presence of relatively strong winds (≥4 m s-1). The mean contributions of natural marine (DMS and SSA) and biogenic emissions to total PM2.5 mass reached ~8.2 % over the marine area and ~ 9.1 % over the land area, respectively. On average, biogenic emissions contributed 8.6 %, 29.3 % (and 27.3 %) to the concentrations of O3, secondary organic aerosol (SOA) (and organic carbon (OC)), respectively, over the land area. Isoprene and monoterpene contributed 40 % and 20 %, respectively, to biogenic SOA production over the land area and biogenic SOA accounted for 1.7 % and 7.8 % of the total O3 and PM2.5, respectively. Secondary aerosol formation was enhanced by gas-to-particle conversion processes due to the coupling effect. Therefore, this modeling study confirmed the non-negligible impact of natural emissions on the air quality in the study area. In addition, the study area is likely to be associated with VOC-limited conditions because of significantly enhanced photochemical O3 production owing to biogenic emissions.
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Affiliation(s)
- Seong-Bin Cho
- Department of Earth and Marine Sciences, Jeju National University, Jeju 63243, Republic of Korea
| | - Sang-Keun Song
- Department of Earth and Marine Sciences, Jeju National University, Jeju 63243, Republic of Korea.
| | - Zang-Ho Shon
- Department of Environmental Engineering, Dong-Eui University, Busan 47340, Republic of Korea
| | - Soo-Hwan Moon
- Department of Earth and Marine Sciences, Jeju National University, Jeju 63243, Republic of Korea
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Haque MM, Verma SK, Deshmukh DK, Kunwar B, Kawamura K. Seasonal characteristics of biogenic secondary organic aerosol tracers in a deciduous broadleaf forest in northern Japan. Chemosphere 2023; 311:136785. [PMID: 36257396 DOI: 10.1016/j.chemosphere.2022.136785] [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: 06/29/2022] [Revised: 09/26/2022] [Accepted: 10/04/2022] [Indexed: 06/16/2023]
Abstract
We collected total suspended particulate (TSP) samples from January 2010 to December 2010 at Sapporo deciduous forest to understand the oxidation processes of biogenic volatile organic compounds (BVOCs). The gas chromatography-mass spectrometric technique was applied to determine biogenic secondary organic aerosols (BSOAs) in the TSP samples. We found the predominance of the isoprene SOA (iSOA) tracers (20.6 ng m-3) followed by α/β-pinene SOA (pSOA) tracers (8.25 ng m-3) and β-caryophyllene SOA (cSOA) tracer (1.53 ng m-3) in the forest aerosols. The results showed large isoprene fluxes and relatively high levels of oxidants in the forest atmosphere. The iSOA and pSOA tracers showed a clear seasonal trend with summer and autumn maxima and winter and spring minima. Their seasonal trends were mainly controlled by BVOCs emission from the local broadleaf deciduous forest. Additionally, the regional level of isoprene emissions from the oceanic sources may also be contributed during summertime aerosols. cSOA tracer showed high concentrations in the winter and spring, possibly due to an additional contribution of biomass burning (BB) aerosols from the local or regional BB activities. The biogenic secondary organic carbon (BSOC) was contributed mainly by the oxidation products of isoprene (136 ngC m-3) followed by β-caryophyllene (63.0 ngC m-3) and α/β-pinene (35.9 ngC m-3). The mass concentration ratio (0.92) of pinonic acid + pinic acid and 3-methyl-1,2,3-butanetricarboxylic acid ((PNA + PA)/3-MBTCA) indicates the photochemical transformation of first-generation oxidation products to the higher generation oxidation products. The average ratios of isoprene to α/β-pinene (1.64) and β-caryophyllene (18.6) oxidation products suggested a large difference in the emissions of isoprene and α/β-pinene compared to β-caryophyllene. The cSOA tracers in the forest aerosols are also contributed by BB during the winter and spring. Positive matrix factorization analyses of the BSOA tracers confirmed that organic aerosols of deciduous forests are mostly related to isoprene emissions. This study suggests that isoprene is a more significant precursor for the BSOA than α/β-pinene and β-caryophyllene in a broadleaf deciduous forest.
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Affiliation(s)
- Md Mozammel Haque
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change (ILCEC), Nanjing University of Information Science & Technology, Nanjing, 210044, China; School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing, 210044, China; Institute of Low Temperature Science, Hokkaido University, Sapporo, 060-0819, Japan.
| | - Santosh Kumar Verma
- Institute of Low Temperature Science, Hokkaido University, Sapporo, 060-0819, Japan; State Forensic Science Laboratory, Home Department, Government of Chhattisgarh, Raipur, 492-001, India
| | - Dhananjay K Deshmukh
- Space Physics Laboratory, Vikram Sarabhai Space Centre, Thiruvananthapuram, 695-002, India; Chubu Institute for Advanced Studies, Chubu University, Kasugai, 487-8501, Japan
| | - Bhagawati Kunwar
- Chubu Institute for Advanced Studies, Chubu University, Kasugai, 487-8501, Japan
| | - Kimitaka Kawamura
- Institute of Low Temperature Science, Hokkaido University, Sapporo, 060-0819, Japan; Chubu Institute for Advanced Studies, Chubu University, Kasugai, 487-8501, Japan.
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Wasti S, Wang Y. Spatial and temporal analysis of HCHO response to drought in South Korea. Sci Total Environ 2022; 852:158451. [PMID: 36063934 DOI: 10.1016/j.scitotenv.2022.158451] [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: 05/24/2022] [Revised: 08/29/2022] [Accepted: 08/29/2022] [Indexed: 06/15/2023]
Abstract
Though drought is known to affect biogenic emissions of volatile organic compounds (BVOC), its effect on isoprene and formaldehyde (HCHO), a high yield product of isoprene, has not been investigated in East Asia where incidences of drought have increased in recent years. In this work, we analyzed the impact of drought on HCHO in the South Korea region during the summer period (June, July, and August) from 2005 to 2018 and found increased HCHO due to drought. The tropospheric HCHO column density retrieved by OMI increased by 8.02 % during extreme drought compared to the non-drought period, whereas no significant effect of drought on the NO2 column was found. Regional variation of HCHO response to drought correlates significantly with the tree percentage of the region. This correlation indicates that the drought-led HCHO increases are most likely driven by the increase in isoprene emissions during drought. Indeed, model predicts isoprene emissions to be higher by 27.87 % during the extreme drought compared to the non-drought period in South Korea. From 2005 to 2018, the HCHO column has been increasing in South Korea by 0.16 × 1015 molecules/cm2/year (1.56 % per year) during summer months, correlated with the increasing incidences of drought. HCHO increase is linked to higher ozone as most of South Korea is in the NOx-saturated or transitional regime.
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Affiliation(s)
- Shailaja Wasti
- Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX, USA
| | - Yuxuan Wang
- Department of Earth and Atmospheric Sciences, University of Houston, Houston, TX, USA.
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Li X, Chen W, Zhang H, Xue T, Zhong Y, Qi M, Shen X, Yao Z. Emissions of biogenic volatile organic compounds from urban green spaces in the six core districts of Beijing based on a new satellite dataset. Environ Pollut 2022; 308:119672. [PMID: 35764185 DOI: 10.1016/j.envpol.2022.119672] [Citation(s) in RCA: 4] [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] [Subscribe] [Scholar Register] [Received: 01/01/2022] [Revised: 06/18/2022] [Accepted: 06/20/2022] [Indexed: 06/15/2023]
Abstract
Urban green spaces (UGSs) are often positively associated with the health of urban residents. However, UGSs may also have adverse health effects by releasing biogenic volatile organic compounds (BVOCs) and increasing the ambient concentrations of ozone (O3) and secondary organic aerosols in urban areas. BVOC emissions from UGSs might be underestimated because of the lack of consideration of the UGS land-use type in urban areas. As such, in this study, we used a newly released satellite dataset, Sentinel-2, with a resolution of 10 m, to derive the classification distribution of UGSs and predict the UGS emissions of BVOCs in Beijing in 2019. The results showed that the annual emissions of BVOCs from UGSs were approximately 2.9 Gg C (95% confidence interval (CI): 2.4-3.3) in the six core districts, accounting for approximately 39% of the total UGS emissions in Beijing. Compared with the results based on Sentinel-2, the BVOC emissions might be underestimated by approximately 37% (95% CI: 11-63) using the commonly used satellite dataset. UGSs produced the highest BVOC emissions in summer (from June to August), accounting for 75.2% of the annual emissions. UGSs contributed the most to the O3 formation potential in summer, accounting for 41.5% of the total. We could attribute a considerable amount of the O3 concentration (27.0 μg m-3, 95% CI: 21.4-32.6) to the UGS BVOCs produced in the core districts of Beijing in July. The new BVOC emissions dataset based on Sentinel-2 vegetation information facilitates modeling studies on the formation of surface O3 in urban areas and assessments of the impact of UGSs on public health.
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Affiliation(s)
- Xin Li
- School of Ecology and Environment, Beijing Technology and Business University, Beijing, 100048, China; State Environmental Protection Key Laboratory of Food Chain Pollution Control, Beijing Technology and Business University, Beijing, 100048, China
| | - Wenjing Chen
- School of Ecology and Environment, Beijing Technology and Business University, Beijing, 100048, China
| | - Hanyu Zhang
- School of Ecology and Environment, Beijing Technology and Business University, Beijing, 100048, China; State Environmental Protection Key Laboratory of Food Chain Pollution Control, Beijing Technology and Business University, Beijing, 100048, China
| | - Tao Xue
- Institute of Reproductive and Child Health / Ministry of Health Key Laboratory of Reproductive Health and Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, 100191, China
| | - Yuanwei Zhong
- School of Ecology and Environment, Beijing Technology and Business University, Beijing, 100048, China
| | - Min Qi
- School of Ecology and Environment, Beijing Technology and Business University, Beijing, 100048, China
| | - Xianbao Shen
- School of Ecology and Environment, Beijing Technology and Business University, Beijing, 100048, China; State Environmental Protection Key Laboratory of Food Chain Pollution Control, Beijing Technology and Business University, Beijing, 100048, China
| | - Zhiliang Yao
- School of Ecology and Environment, Beijing Technology and Business University, Beijing, 100048, China; State Environmental Protection Key Laboratory of Food Chain Pollution Control, Beijing Technology and Business University, Beijing, 100048, China.
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Gao Y, Yan F, Ma M, Ding A, Liao H, Wang S, Wang X, Zhao B, Cai W, Su H, Yao X, Gao H. Unveiling the dipole synergic effect of biogenic and anthropogenic emissions on ozone concentrations. Sci Total Environ 2022; 818:151722. [PMID: 34813804 DOI: 10.1016/j.scitotenv.2021.151722] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [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: 09/10/2021] [Revised: 11/04/2021] [Accepted: 11/12/2021] [Indexed: 06/13/2023]
Abstract
Biogenic emissions are widely known as important precursors of ozone, yet there is potentially a strong interaction and synergy between biogenic and anthropogenic emissions, including volatile organic compounds (VOCs) and nitrogen oxides (NOx), in modulating ozone formation. To a large extent, the synergy affects the effectiveness of anthropogenic emission control, thereby reshaping the O3-NOx-VOC empirical kinetic modeling approach (EKMA) diagram. Focusing on the ozone pollution period of June 2017 in the North China Plain, we design almost 500 numerical experiments using regional air quality model Community Multiscale Air Quality (CMAQ) that revealed an interesting synergic effect, defined as the contribution of biogenic emissions to ozone concentrations concomitant with a reduction in anthropogenic emissions. A quasi-EKMA diagram is constructed to delineate the contribution of biogenic emissions to ozone concentrations, indicative of a linearly amplified or nonlinearly weakened result associated with reductions in anthropogenic VOCs or NOx emissions, respectively, illustrating the dipole characteristics of the synergic effect. The reduced ozone contribution from biogenic emissions along with NOx emission reduction can be used to represent controllable biogenically induced ozone (BIO). Both the amplified and controllable BIO are tightly linked to both local emissions and regional transport, implicative of an essential role in joint regional emission control. In regard to ozone exceedance, the role of biogenic emissions may be even more important, in that its contribution is comparable to or even larger than that of anthropogenic emissions when associated with a reduction in anthropogenic emissions, which is clearly demonstrated based on the near carbon neutrality scenario shared socioeconomic pathway (SSP) 126. Meanwhile, the biogenic emissions may steer the modulation of anthropogenic emissions in the change rate of MDA8 ozone concentration. Therefore, the synergic effect of biogenic and anthropogenic emissions elucidated in this study should be carefully considered in future ozone pollution control.
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Affiliation(s)
- Yang Gao
- Key Laboratory of Marine Environment and Ecology, and Frontiers Science Center for Deep Ocean Multispheres and Earth System, Ministry of Education, Ocean University of China, and Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China.
| | - Feifan Yan
- Key Laboratory of Marine Environment and Ecology, and Frontiers Science Center for Deep Ocean Multispheres and Earth System, Ministry of Education, Ocean University of China, and Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China
| | - Mingchen Ma
- Key Laboratory of Marine Environment and Ecology, and Frontiers Science Center for Deep Ocean Multispheres and Earth System, Ministry of Education, Ocean University of China, and Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China
| | - Aijun Ding
- Joint International Research Laboratory of Atmospheric and Earth System Sciences, School of Atmospheric Sciences, Nanjing University, Nanjing, China
| | - Hong Liao
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Shuxiao Wang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Xuemei Wang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 510000, China
| | - Bin Zhao
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Wenju Cai
- Physical Oceanography Laboratory/CIMST, Ocean University of China and Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China; CSIRO Marine and Atmospheric Research, Aspendale, Victoria 3195, Australia
| | - Hang Su
- Multiphase Chemistry Department, Max Planck Institute for Chemistry, Mainz D-55128, Germany; State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai 200233, China
| | - Xiaohong Yao
- Key Laboratory of Marine Environment and Ecology, and Frontiers Science Center for Deep Ocean Multispheres and Earth System, Ministry of Education, Ocean University of China, and Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China
| | - Huiwang Gao
- Key Laboratory of Marine Environment and Ecology, and Frontiers Science Center for Deep Ocean Multispheres and Earth System, Ministry of Education, Ocean University of China, and Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China
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He DY, Huang XF, Wei J, Wei FH, Zhu B, Cao LM, He LY. Soil dust as a potential bridge from biogenic volatile organic compounds to secondary organic aerosol in a rural environment. Environ Pollut 2022; 298:118840. [PMID: 35026325 DOI: 10.1016/j.envpol.2022.118840] [Citation(s) in RCA: 2] [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: 11/01/2021] [Revised: 01/06/2022] [Accepted: 01/08/2022] [Indexed: 06/14/2023]
Abstract
The role of coarse particles has recently been proven to be underestimated in the atmosphere and can strongly influence clouds, ecosystems and climate. However, previous studies on atmospheric chemistry of volatile organic compounds (VOCs) have mostly focused on the products in fine particles, it remains less understood how coarse particles promote secondary organic aerosol (SOA) formation. In this study, we investigated water-soluble compounds of size-segregated aerosol samples (0.056 to >18 μm) collected at a coastal rural site in southern China during late summer and found that oxygenated organic matter was abundant in the coarse mode. Comprehensive source apportionment based on mass spectrum and 14C analysis indicated that different from fossil fuel SOA, biogenic SOA existed more in the coarse mode than in the fine mode. The SOA in the coarse mode showed a unique correlation with biogenic VOCs. 13C and elemental composition strongly suggested a pathway of heterogeneous reactions on coarse particles, which had an abundant low-acidic aqueous environment with soil dust to possibly initiate iron-catalytic oxidation reactions to form SOA. This potential pathway might complement understanding of both formation of biogenic SOA and sink of biogenic VOCs in global biogeochemical cycles, warrantying future relevant studies.
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Affiliation(s)
- Dong-Yi 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.
| | - Jing Wei
- Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, China
| | - Feng-Hua Wei
- Laboratory of Atmospheric Observation Supersite, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, 518055, China
| | - Bo Zhu
- 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
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Gao Y, Ma M, Yan F, Su H, Wang S, Liao H, Zhao B, Wang X, Sun Y, Hopkins JR, Chen Q, Fu P, Lewis AC, Qiu Q, Yao X, Gao H. Impacts of biogenic emissions from urban landscapes on summer ozone and secondary organic aerosol formation in megacities. Sci Total Environ 2022; 814:152654. [PMID: 34973314 DOI: 10.1016/j.scitotenv.2021.152654] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [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: 06/29/2021] [Revised: 12/03/2021] [Accepted: 12/20/2021] [Indexed: 06/14/2023]
Abstract
The impact of biogenic emissions on ozone and secondary organic aerosol (SOA) has been widely acknowledged; nevertheless, biogenic emissions emitted from urban landscapes have been largely ignored. We find that including urban isoprene in megacities like Beijing improves not only the modeled isoprene concentrations but also its diurnal cycle. Specifically, the mean bias of the simulated isoprene concentrations is reduced from 87% to 39% by adding urban isoprene emissions while keeping the diurnal cycle the same as that in non-urban or rural areas. Further adjusting the diurnal cycle of isoprene emissions to the urban profile steers the original early morning peak of the isoprene concentration to a double quasi-peak, i.e., bell shape, consistent with observations. The efficiency of ozone generation caused by isoprene emissions in urban Beijing is found to be twice as large as those in rural areas, indicative of vital roles of urban BVOC emissions in modulating the ozone formation. Our study also shows that in the future along with NOx emission reduction, isoprene emissions from urban landscapes will become more important for the formation of ozone in urban area, and their contributions may exceed that of isoprene caused by transport from rural areas. Finally, the impact of biogenic emissions on SOA is examined, revealing that biogenic induced SOA accounts for 16% of the total SOA in urban Beijing. The effect of isoprene on SOA (iSOA) is modulated through two pathways associated with the abundance of NOx emissions, and the effect can be amplified in future when NOx emissions are reduced. The findings of our study are not limited to Beijing but also apply to other megacities or densely populated regions, suggesting an urgent need to construct an accurate emission inventory for urban landscapes and evaluate their impact on ozone and SOA in air quality planning and management.
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Affiliation(s)
- Yang Gao
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China.
| | - Mingchen Ma
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China
| | - Feifan Yan
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China
| | - Hang Su
- Max Planck Institute for Chemistry, Multiphase Chemistry Department, Mainz D-55128, Germany; State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai 200233, China
| | - Shuxiao Wang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Hong Liao
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Engineering Technology Research Center of Environmental Cleaning Materials, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Bin Zhao
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Xuemei Wang
- Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Institute for Environmental and Climate Research, Jinan University, Guangzhou 510000, China
| | - Yele Sun
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - James R Hopkins
- Wolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, York YO10 5NH, UK
| | - Qi Chen
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100084, China
| | - Pingqing Fu
- Institute of Surface-Earth System Science, Tianjin University, Tianjin 300072, China
| | - Alastair C Lewis
- Wolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, York YO10 5NH, UK
| | - Qionghui Qiu
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Xiaohong Yao
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China
| | - Huiwang Gao
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China
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10
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Li L, Zhang B, Cao J, Xie S, Wu Y. Isoprenoid emissions from natural vegetation increased rapidly in eastern China. Environ Res 2021; 200:111462. [PMID: 34116014 DOI: 10.1016/j.envres.2021.111462] [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: 09/15/2020] [Revised: 05/24/2021] [Accepted: 05/31/2021] [Indexed: 06/12/2023]
Abstract
An accurate local biogenic volatile organic compound (BVOC) emission inventory in Shandong Province is crucial for air pollution control in Shandong and the Beijing-Tianjin-Hebei region, China. We estimated the multi-year isoprenoid emissions from natural vegetation in Shandong Province at a spatial resolution of 4 km × 4 km using the MEGAN2.1 model. A new vegetation classification with 23 plant species/types was developed, and emission factors were determined based on the most detailed and localized investigation and statistics. Isoprene, monoterpene, and sesquiterpene emissions in 2018 were 325.6, 18.2, and 7.9 Gg (mass of carbon), respectively. β-Pinene, α-pinene, ocimene, farnescene, and caryophyllene were the dominant monoterpenes and sesquiterpenes. Broadleaf trees contributed the most to total emissions, particularly poplar, which had the highest emission rates. Wheat also had higher emissions owing to its large coverage. Isoprenoid emissions displayed an inverted "U" pattern when plotted against the months and peaked in summer. Emissions were concentrated in the western and southeastern areas with emission intensities of >10 ton/grid, including Dezhou, Liaocheng, and Rizhao cities. During 1981-2018, isoprenoid emissions experienced a rapid increase from 12.0 to 351.7 Gg, at a rate of 11.20 Gg/yr. Isoprene had the highest enhancement rate of 10.72 Gg/yr. The most rapid increase was observed in the northwestern cities Dezhou and Liaocheng, and the southeastern cities Rizhao, at an average rate of >100 kg/yr, even >500 kg/yr in some areas. The high emissions and their continued increase should be considered when studying the prevention and control of regional air pollution and making policies in China.
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Affiliation(s)
- Lingyu Li
- College of Environmental Sciences and Engineering, Qingdao University, Qingdao, 266071, China.
| | - Baowen Zhang
- College of Environmental Sciences and Engineering, Qingdao University, Qingdao, 266071, China
| | - Jing Cao
- College of Environmental Sciences and Engineering, Qingdao University, Qingdao, 266071, China
| | - Shaodong Xie
- State Key Joint Laboratory of Environment Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
| | - Yan Wu
- School of Environmental Science and Engineering, Shandong University, Qingdao, 266237, China
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11
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Xu J, Huang X, Wang N, Li Y, Ding A. Understanding ozone pollution in the Yangtze River Delta of eastern China from the perspective of diurnal cycles. Sci Total Environ 2021; 752:141928. [PMID: 33207508 PMCID: PMC7443166 DOI: 10.1016/j.scitotenv.2020.141928] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Revised: 08/22/2020] [Accepted: 08/22/2020] [Indexed: 05/04/2023]
Abstract
Ozone (O3) pollution has aroused increasing attention in China in past years, especially in the Yangtze River Delta (YRD), eastern China. Ozone and its precursors generally feature different diurnal patterns, which is closely related to atmospheric physical and chemical processes. This work aims to shed more light on the causes of ozone pollution from the perspective of the diurnal patterns. Hundreds of ozone pollution days (with maximum hourly O3 concentration over 100 ppb) during 2013-2017 were identified and then clustered into 4 typical types according to the diurnal variation patterns. We found that ozone pollution in Shanghai was particularly severe when anthropogenic pollutant mixed with biogenic volatile organic compounds (BVOCs) under the prevailing southwesterly wind in summer. The reason could be attributed to the spatial disparities of ozone sensitivity regime in YRD: VOC-limited regime around in the urban area and NOx-limited regime in the rural forest regions in the southern and southwest. The transition of sensitivity regimes along south/southwest wind tended to promote the photochemical production of ozone, making daily O3 pollution time exceeding 6 h of the day. In addition, ozone peak concentration in Shanghai was highly dependent on the evolution of sea-land breezes (SLBs). Earlier sea breeze associated with approaching typhoon in the West Pacific caused less cloud (-25%) and more solar radiation (11%) in YRD, which subsequently led to a rapid increase of O3 concentration in the morning and a deteriorated ozone pollution during noon and the afternoon. This study highlights the importance of observation-based processes understanding in air quality studies.
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Affiliation(s)
- Jiawei Xu
- School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China; Collaborative Innovation Center of Climate Change, Jiangsu Province, Nanjing 210023, China
| | - Xin Huang
- School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China; Collaborative Innovation Center of Climate Change, Jiangsu Province, Nanjing 210023, China.
| | - Nan Wang
- School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China; Collaborative Innovation Center of Climate Change, Jiangsu Province, Nanjing 210023, China
| | - Yuanyuan Li
- School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China; Collaborative Innovation Center of Climate Change, Jiangsu Province, Nanjing 210023, China
| | - Aijun Ding
- School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China; Collaborative Innovation Center of Climate Change, Jiangsu Province, Nanjing 210023, China.
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12
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Li L, Yang W, Xie S, Wu Y. Estimations and uncertainty of biogenic volatile organic compound emission inventory in China for 2008-2018. Sci Total Environ 2020; 733:139301. [PMID: 32446071 DOI: 10.1016/j.scitotenv.2020.139301] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [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: 02/18/2020] [Revised: 05/05/2020] [Accepted: 05/07/2020] [Indexed: 06/11/2023]
Abstract
Accurate biogenic volatile organic compound (BVOC) emission estimations are essential for developing effective air pollution control measures. Chinese BVOC emissions were calculated at a spatial resolution of 36 km × 36 km for 2008-2018 using the Model of Emissions of Gases and Aerosols from Nature. A statistical method was developed to obtain more accurate emission rates based on large numbers of observations from China and other countries. The most detailed and accurate vegetation investigations at high resolutions were used to determine the distributions of leaf biomass and coverage for 82 vegetation species and types. The results show that the national BVOCs emissions in China in 2018 were large, 58.89 Tg, with isoprene, monoterpene, sesquiterpene, and other VOCs accounting for 63.60%, 11.35%, 2.18%, and 22.87% of the emissions, respectively. Broadleaf trees exhibited the largest isoprene and total BVOC emissions. The biogenic emissions and compositions displayed strong seasonal variations, and isoprene was significantly more sensitive to seasonality. The emissions were concentrated in the Greater Khingan Mountain, Changbai Mountain, Qinling Mountain, southeast and southwest forest areas, and Hainan Province because of their larger distributions of broadleaf trees with higher emission potentials. During 2008-2018, BVOC emissions increased by 20.18% at an annual rate of 2.03%, and isoprene exhibited the greatest enhancement of 32.67%, which was primarily due to the increase in leaf biomass. The regions with the largest growth were distributed in the Greater Khingan and Changbai Mountains, and the Sichuan, Hunan, and Hubei Provinces, which was primarily the result of the substantial increase in volumes of trees with higher emission rates. The uncertainty of our estimates was evaluated by comparing the applied basal emission factors, vegetation coverages, meteorological data, and emission algorithms from previous studies, and it was estimated to be approximately -36.5-4.6%.
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Affiliation(s)
- Lingyu Li
- College of Environmental Sciences and Engineering, Qingdao University, Qingdao 266071, China.
| | - Weizhen Yang
- College of Environmental Sciences and Engineering, Qingdao University, Qingdao 266071, China
| | - Shaodong Xie
- State Key Joint Laboratory of Environment Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
| | - Yan Wu
- School of Environmental Science and Engineering, Shandong University, Qingdao 266237, China
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13
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Isley CF, Nelson PF, Taylor MP, Williams AA, Jacobsen GE. Radiocarbon determination of fossil and contemporary carbon contribution to aerosol in the Pacific Islands. Sci Total Environ 2018; 643:183-192. [PMID: 29936161 DOI: 10.1016/j.scitotenv.2018.06.182] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Revised: 06/13/2018] [Accepted: 06/14/2018] [Indexed: 06/08/2023]
Abstract
Combustion emissions are of growing concern across all Pacific Island Countries, which account for >10,000 km2 of the earth's surface area; as for many other small island states globally. Apportioning emissions inputs for Suva, the largest Pacific Island city, will aid in development of emission reduction strategies. Total suspended particulate (TSP) and fine particulate (PM2.5) samples were collected for Suva City, a residential area (Kinoya, TSP) and a mainly ocean-influenced site (Suva Point, TSP) from 2014 to 2015. Percentages of contemporary and fossil carbon were determined by radiocarbon analysis (accelerator mass spectrometry); for non‑carbonate carbon (NCC), elemental carbon (EC) and organic carbon (OC). Source contributions to particulate matter were identified and the accuracy of previous emissions inventory and source apportionment studies was evaluated. Suva Point NCC concentrations (2.7 ± 0.4 μg/m3) were four times lower than for City (13 ± 2 μg/m3 in TSP) and Kinoya (13 ± 1 μg/m3 in TSP); demonstrating the contribution of land-based emissions activities in city and residential areas. In Suva City, total NCC in air was 81% (79%-83%) fossil carbon, from vehicles, shipping, power generation and industry; whilst in the residential area, 48% (46%-50%) of total NCC was contemporary carbon; reflecting the higher incidence of biomass and waste burning and of cooking activities. Secondary organic fossil carbon sources contributed >36% of NCC mass at the city and >29% at Kinoya; with biogenic carbon being Kinoya's most significant source (approx. 30% of NCC mass). These results support the previous source apportionment studies for the city area; yet show that, in line with emissions inventory studies, biomass combustion contributes more PM2.5 mass in residential areas. Hence air quality management strategies need to target open burning activities as well as fossil fuel combustion.
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Affiliation(s)
- C F Isley
- Department of Environmental Sciences, Macquarie University, Sydney, NSW 2109, Australia.
| | - P F Nelson
- Department of Environmental Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - M P Taylor
- Department of Environmental Sciences, Macquarie University, Sydney, NSW 2109, Australia
| | - A A Williams
- Australian Nuclear Science and Technology Organisation, Sydney, NSW 2234, Australia
| | - G E Jacobsen
- Australian Nuclear Science and Technology Organisation, Sydney, NSW 2234, Australia
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14
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Chiara Pietrogrande M, Barbaro E, Bove MC, Clauser G, Colombi C, Corbella L, Cuccia E, Dalla Torre S, Decesari S, Fermo P, Gambaro A, Gianelle V, Ielpo P, Larcher R, Lazzeri P, Massabò D, Melchionna G, Nardin T, Paglione M, Perrino C, Prati P, Visentin M, Zanca N, Zangrando R. Results of an interlaboratory comparison of analytical methods for quantification of anhydrosugars and biosugars in atmospheric aerosol. Chemosphere 2017; 184:269-277. [PMID: 28601009 DOI: 10.1016/j.chemosphere.2017.05.131] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [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: 01/27/2017] [Revised: 05/20/2017] [Accepted: 05/22/2017] [Indexed: 06/07/2023]
Abstract
An interlaboratory comparison was performed to evaluate the analytical methods for quantification of anhydrosugars - levoglucosan, mannosan, galactosan - and biosugars - arabitol, glucose and mannitol - in atmospheric aerosol. The performance of 10 laboratories in Italy currently involved in such analyses was investigated on twenty-six PM (particulate matter) ambient filters, three synthetic PM filters and three aqueous standard solutions. An acceptable interlaboratory variability was found, determined as the mean relative standard deviation (RSD%) of the results from the participating laboratories, with the mean RSD% values ranging from 25% to 46% and decreasing with increasing sugar concentration. The investigated methods show good accuracy, evaluated as the percentage error (ε%) related to mean values, since method biases ranged within ±20% for most of the analytes measured in the different laboratories. The detailed investigation (ANOVA analysis at p < 0.05) of the contribution of each laboratory to the total variability and the measurement accuracy shows that comparable results are generated by the different methods, despite the great diversity in terms of extraction conditions, chromatographic separation - more recent LC (liquid chromatography) and EC (exchange chromatography) methods compared to more widespread GC (gas chromatography) - and detection systems, namely PAD (pulsed amperometric detection) or mass spectrometry.
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Affiliation(s)
- M Chiara Pietrogrande
- Department of Chemical and Pharmaceutical Sciences, University of Ferrara, Via Fossato di Mortara 17/19, 44121 Ferrara, Italy.
| | - Elena Barbaro
- Department of Environmental Sciences, Informatics & Statistics, University Ca' Foscari of Venice, Via Torino 155, 30170 Venice Mestre, Italy
| | - M Chiara Bove
- Department of Physics & INFN, University of Genoa, Via Dodecaneso, 33, 16146 Genoa, Italy
| | - Giuseppe Clauser
- Agenzia Provinciale Protezione Ambiente, Via Lidorno 1, 38123 Trento, Italy
| | | | - Lorenza Corbella
- Department of Chemistry, University of Milan, Via Golgi 19, 20133 Milan, Italy
| | | | - Stefano Dalla Torre
- National Research Council (CNR) Institute of Atmospheric Pollution Research Rome, Via Salaria Km 29, 300, Monterotondo St., 00015, Rome, Italy
| | - Stefano Decesari
- National Research Council (CNR) Institute of Atmospheric Sciences and Climate (ISAC), Via Gobetti 101, 40129 Bologna, Italy
| | - Paola Fermo
- Department of Chemistry, University of Milan, Via Golgi 19, 20133 Milan, Italy
| | - Andrea Gambaro
- Department of Environmental Sciences, Informatics & Statistics, University Ca' Foscari of Venice, Via Torino 155, 30170 Venice Mestre, Italy
| | | | - Pierina Ielpo
- National Research Council (CNR) Water Institute Research - CNR, Viale de Blasio 5, 70132 Bari, Italy
| | - Roberto Larcher
- Fondazione E. Mach, Technology Transfer Center, Via Edmund Mach 1, 38010 San Michele All'Adige (TN), Italy
| | - Paolo Lazzeri
- Agenzia Provinciale Protezione Ambiente, Via Lidorno 1, 38123 Trento, Italy
| | - Dario Massabò
- Department of Physics & INFN, University of Genoa, Via Dodecaneso, 33, 16146 Genoa, Italy
| | | | - Tiziana Nardin
- National Research Council (CNR) Water Institute Research - CNR, Viale de Blasio 5, 70132 Bari, Italy
| | - Marco Paglione
- National Research Council (CNR) Institute of Atmospheric Sciences and Climate (ISAC), Via Gobetti 101, 40129 Bologna, Italy
| | - Cinzia Perrino
- National Research Council (CNR) Institute of Atmospheric Pollution Research Rome, Via Salaria Km 29, 300, Monterotondo St., 00015, Rome, Italy
| | - Paolo Prati
- Department of Physics & INFN, University of Genoa, Via Dodecaneso, 33, 16146 Genoa, Italy
| | - Marco Visentin
- Department of Chemical and Pharmaceutical Sciences, University of Ferrara, Via Fossato di Mortara 17/19, 44121 Ferrara, Italy
| | - Nicola Zanca
- National Research Council (CNR) Institute of Atmospheric Sciences and Climate (ISAC), Via Gobetti 101, 40129 Bologna, Italy
| | - Roberta Zangrando
- Institute for the Dynamics of Environmental Processes-CNR, Via Torino 155, 30172 Venice-Mestre, Italy
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15
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Chofre C, Gil-Moltó J, Galindo N, Varea M, Caballero S. Characterization of hydrocarbons in aerosols at a Mediterranean city with a high density of palm groves. Environ Monit Assess 2016; 188:509. [PMID: 27502520 DOI: 10.1007/s10661-016-5517-7] [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: 01/19/2016] [Accepted: 07/28/2016] [Indexed: 06/06/2023]
Abstract
Samples of PM1 and PM10 were collected for 1 year at an urban background station in the city of Elche (southeastern Spain) and analyzed to determine the content of n-alkanes and polycyclic aromatic hydrocarbons (PAHs). A few samples were also gathered at a second sampling point established at one of the several palm tree gardens of the city in order to evaluate the influence of biogenic emissions on the urban levels of n-alkanes. Diagnostic parameters obtained for aliphatic hydrocarbons (carbon maximum number (C max), carbon preference index (CPI), and wax n-alkane content (%WNA)) revealed a higher contribution of biogenic n-alkanes in PM10 than in PM1. Moreover, the values of %WNA indicated that the levels of n-alkanes in Elche were more affected by emissions from terrestrial vegetation than in other urban areas, particularly in the palm tree grove location (%WNA = 29 for PM10). PAH diagnostic ratios pointed to traffic as the main anthropogenic source of hydrocarbons in Elche, with predominance of diesel versus gasoline vehicle emissions. The average levels of total PAHs (~1 ng m(-3)) were noticeably lower than the values registered at other urban areas in Europe, most likely because emissions from other sources are scarce. Both aliphatic and aromatic hydrocarbons showed higher levels in the cold season due to the lower atmospheric dispersion conditions, the increase in traffic exhaust emissions, and the lower ambient temperatures that reduce the evaporation of semivolatile species.
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Affiliation(s)
- Carolina Chofre
- Atmospheric Pollution Laboratory (LCA), Department of Applied Physics, Miguel Hernández University, Avenida de la Universidad S/N, 03202, Elche, Spain
| | - Juan Gil-Moltó
- Atmospheric Pollution Laboratory (LCA), Department of Applied Physics, Miguel Hernández University, Avenida de la Universidad S/N, 03202, Elche, Spain.
| | - Nuria Galindo
- Atmospheric Pollution Laboratory (LCA), Department of Applied Physics, Miguel Hernández University, Avenida de la Universidad S/N, 03202, Elche, Spain
| | - Montse Varea
- Atmospheric Pollution Laboratory (LCA), Department of Applied Physics, Miguel Hernández University, Avenida de la Universidad S/N, 03202, Elche, Spain
| | - Sandra Caballero
- Atmospheric Pollution Laboratory (LCA), Department of Applied Physics, Miguel Hernández University, Avenida de la Universidad S/N, 03202, Elche, Spain
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16
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Gastelum SL, Mejía-Velázquez GM, Lozano-García DF. Remote sensing estimation of isoprene and monoterpene emissions generated by natural vegetation in Monterrey, Mexico. Environ Monit Assess 2016; 188:321. [PMID: 27147234 DOI: 10.1007/s10661-016-5324-1] [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: 10/13/2015] [Accepted: 04/25/2016] [Indexed: 06/05/2023]
Abstract
In addition to oxygen, hydrocarbons are the most reactive chemical compounds produced by plants into the atmosphere. These compounds are part of the family of volatile organic compounds (VOCs) and are discharged in a great variety of forms. Among the VOCs produced by natural sources such as vegetation, the most studied until today are the isoprene and monoterpene. These substances can play an important role in the chemical balance of the atmosphere of a region. In this project, we develop a methodology to estimate the natural (vegetation) emission of isoprene and monoterpenes and applied it to the Monterrey Metropolitan Area, Mexico and its surrounding areas. Landsat-TM data was used to identify the dominant vegetation communities and field work to determine the foliage biomass density of key species. The studied communities were submontane scrub, oak, and pine forests and a combination of both. We carried out the estimation of emissions for isoprene and monoterpenes compounds in the different plant communities, with two different criteria: (1) taking into account the average foliage biomass density obtained from the various sample point in each vegetation community, and (2) using the foliage biomass density obtained for each transect, associated to an individual spectral class within a particular vegetation type. With this information, we obtained emission maps for each case. The results show that the main producers of isoprene are the communities that include species of the genus Quercus, located mainly on the Sierra Madre Oriental and Sierra de Picachos, with average isoprene emissions of 314.6 ton/day and 207.3 ton/day for the two methods utilized. The higher estimates of monoterpenes were found in the submontane scrub areas distributed along the valley of the metropolitan zone, with an estimated average emissions of 47.1 ton/day and 181.4 tons for the two methods respectively.
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Affiliation(s)
- Sandra L Gastelum
- Centro de Tecnologías para el Desarrollo Sostenible, Tecnológico de Monterrey, Campus Monterrey, Monterrey, Nuevo Leon, Mexico
| | - G M Mejía-Velázquez
- Centro de Tecnologías para el Desarrollo Sostenible, Tecnológico de Monterrey, Campus Monterrey, Monterrey, Nuevo Leon, Mexico
| | - D Fabián Lozano-García
- Centro de Tecnologías para el Desarrollo Sostenible, Tecnológico de Monterrey, Campus Monterrey, Monterrey, Nuevo Leon, Mexico.
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17
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Geron C, Daly R, Harley P, Rasmussen R, Seco R, Guenther A, Karl T, Gu L. Large drought-induced variations in oak leaf volatile organic compound emissions during PINOT NOIR 2012. Chemosphere 2016; 146:8-21. [PMID: 26706927 DOI: 10.1016/j.chemosphere.2015.11.086] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [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: 09/08/2015] [Revised: 11/18/2015] [Accepted: 11/21/2015] [Indexed: 06/05/2023]
Abstract
Leaf-level isoprene and monoterpene emissions were collected and analyzed from five of the most abundant oak (Quercus) species in Central Missouri's Ozarks Region in 2012 during PINOT NOIR (Particle Investigations at a Northern Ozarks Tower - NOx, Oxidants, Isoprene Research). June measurements, prior to the onset of severe drought, showed isoprene emission rates and leaf temperature responses similar to those previously reported in the literature and used in Biogenic Volatile Organic Compound (BVOC) emission models. During the peak of the drought in August, isoprene emission rates were substantially reduced, and response to temperature was dramatically altered, especially for the species in the red oak subgenus (Erythrobalanus). Quercus stellata (in the white oak subgenus Leucobalanus), on the other hand, increased its isoprene emission rate during August, and showed no decline at high temperatures during June or August, consistent with its high tolerance to drought and adaptation to xeric sites at the prairie-deciduous forest interface. Mid-late October measurements were conducted after soil moisture recharge, but were affected by senescence and cooler temperatures. Isoprene emission rates were considerably lower from all species compared to June and August data. The large differences between the oaks in response to drought emphasizes the need to consider BVOC emissions at the species level instead of just the whole canopy. Monoterpene emissions from Quercus rubra in limited data were highest among the oaks studied, while monoterpene emissions from the other oak species were 80-95% lower and less than assumed in current BVOC emission models. Major monoterpenes from Q. rubra (and in ambient air) were p-cymene, α-pinene, β-pinene, d-limonene, γ-terpinene, β-ocimene (predominantly1,3,7-trans-β-ocimene, but also 1,3,6-trans-β-ocimene), tricyclene, α-terpinene, sabinene, terpinolene, and myrcene. Results are discussed in the context of canopy flux studies conducted at the site during PINOT NOIR, which are described elsewhere. The leaf isoprene emissions before and during the drought were consistent with above canopy fluxes, while leaf and branch monoterpene emissions were an order of magnitude lower than the observed above canopy fluxes, implying that other sources may be contributing substantially to monoterpene fluxes at this site. This strongly demonstrates the need for further simultaneous canopy and enclosure BVOC emission studies.
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Affiliation(s)
- Chris Geron
- U.S. Environmental Protection Agency, National Risk Management Research Laboratory, Research Triangle Park, NC 27711, USA.
| | - Ryan Daly
- U.S. Environmental Protection Agency, National Risk Management Research Laboratory, Research Triangle Park, NC 27711, USA
| | - Peter Harley
- National Center for Atmospheric Research, Boulder, CO, USA
| | | | - Roger Seco
- Department of Earth System Science, University of California, Irvine, CA 92697, USA
| | - Alex Guenther
- Department of Earth System Science, University of California, Irvine, CA 92697, USA
| | - Thomas Karl
- Institute for Meteorology and Geophysics, University of Innsbruck, Innsbruck, Austria
| | - Lianhong Gu
- Oak Ridge National Laboratory, Oak Ridge, TN, USA
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18
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Li LY, Chen Y, Xie SD. Spatio-temporal variation of biogenic volatile organic compounds emissions in China. Environ Pollut 2013; 182:157-168. [PMID: 23916627 DOI: 10.1016/j.envpol.2013.06.042] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [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: 04/15/2013] [Revised: 06/25/2013] [Accepted: 06/27/2013] [Indexed: 06/02/2023]
Abstract
Aiming to reduce the large uncertainties of biogenic volatile organic compounds (BVOCs) emissions estimation, the emission inventory of BVOCs in China at a high spatial and temporal resolution of 36 km × 36 km and 1 h was established using MEGANv2.1 with MM5 providing high-resolution meteorological data, based on the most detailed and latest vegetation investigations. BVOC emissions from 82 plant functional types in China were computed firstly. More local species-specific emission rates were developed combining statistical analysis and category classification, and the leaf biomass was estimated based on vegetation volume and production with biomass-apportion models. The total annual BVOC emissions in 2003 were 42.5 Tg, including isoprene 23.4 Tg, monoterpene 5.6 Tg, sesquiterpene 1.0 Tg, and other VOCs (OVOCs) 12.5 Tg. Subtropical and tropical evergreen and deciduous broadleaf shrubs, Quercus, and bamboo contributed more than 45% to the total BVOC emissions. The highest biogenic emissions were found over northeastern, southeastern, and southwestern China. Strong seasonal pattern was observed with the highest BVOC emissions in July and the lowest in January and December, with daily emission peaked at approximately 13:00 or 14:00 local time.
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Affiliation(s)
- L Y Li
- College of Environmental Sciences & Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing, China
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