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Shen Y, Zhi G, Zhang Y, Jin W, Kong Y, Li Z, Zhang H. An investigative review of the expanded capabilities of thermal/optical techniques for measuring carbonaceous aerosols and beyond. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2025; 364:125363. [PMID: 39571715 DOI: 10.1016/j.envpol.2024.125363] [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: 07/16/2024] [Revised: 11/17/2024] [Accepted: 11/19/2024] [Indexed: 11/26/2024]
Abstract
Carbonaceous aerosols primarily comprise organic carbon (OC) and black carbon (BC). Thermal-optical analysis (TOA) is the most commonly used method for separating carbonaceous aerosols into OC and EC (BC is referred to as elemental carbon EC, in this method). Advances in hardware design and algorithms have expanded the capabilities of TOA beyond just distinguishing OC and EC. However, a comprehensive understanding of the enhanced functionality of TOA is still lacking. This study provides the first comprehensive review of the TOA technique, highlighting expanded capabilities to measure brown carbon (BrC), mass-absorption efficiency, absorption enhancement, source contributions, and refined OC/EC split points. This review discusses the principles, advantages, and limitations of these advancements. Furthermore, the TOA system anticipates further advancements through integration with other instruments, establishing correlations between EC values obtained from different TOA instruments/protocols, correlating between BrC measurements from TOA and non-TOA methods, and developing an algorithm to quantify BrC from progressive absorption Ångström exponent (AAE) values. This review enhances the understanding of the TOA system and its implication for air quality and atmospheric radiation research.
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Affiliation(s)
- Yi Shen
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China; Institute of Atmospheric Environment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Guorui Zhi
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China; Institute of Atmospheric Environment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
| | - Yuzhe Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China; Institute of Atmospheric Environment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Wenjing Jin
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China; Institute of Atmospheric Environment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
| | - Yao Kong
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China; Institute of Atmospheric Environment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Zhengying Li
- Beijing Municipal Ecological and Environmental Monitoring Center, Beijing, 100048, China
| | - Haitao Zhang
- College of Science, China University of Petroleum, Beijing, 102249, China
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Zhang L, Li Y, Li J, Xing R, Liu X, Zhao J, Shen G, Pan B, Li X, Tao S. Pollutant Emissions and Oxidative Potentials of Particles from the Indoor Burning of Biomass Pellets. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:16016-16027. [PMID: 39102498 DOI: 10.1021/acs.est.4c03967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/07/2024]
Abstract
Residential solid fuel combustion significantly impacts air quality and human health. Pelletized biomass fuels are promoted as a cleaner alternative, particularly for those who cannot afford the high costs of gas/electricity, but their emission characteristics and potential effects remain poorly understood. The present laboratory-based study evaluated pollution emissions from pelletized biomass burning, including CH4 (methane), NMHC (nonmethane hydrocarbon compounds), CO, SO2, NOx, PM2.5 (particulate matter with an aerodynamic diameter ≤2.5 μm), OC (organic carbon), EC (element carbon), PAHs (polycyclic aromatic hydrocarbons), EPFRs (environmentally persistent free radicals), and OP (oxidative potential) of PM2.5, and compared with those from raw biomass burning. For most targets, except for SO2 and NOx, the mass-based emission factors for pelletized biomass were 62-96% lower than those for raw biomass. SO2 and NOx levels were negatively correlated with other air pollutants (p < 0.05). Based on real-world daily consumption data, this study estimated that households using pelletized biomass could achieve significant reductions (51-95%) in emissions of CH4, NMHC, CO, PM2.5, OC, EC, PAHs, and EPFRs compared to those using raw biomass, while the differences in emissions of NOx and SO2 were statistically insignificant. The reduction rate of benzo(a)pyrene-equivalent emissions was only 16%, much lower than the reduction in the total PAH mass (78%). This is primarily attributed to the more PAHs with high toxic potentials, such as dibenz(a,h)anthracene, in the pelletized biomass emissions. Consequently, impacts on human health associated with PAHs might be overestimated if only the mass of total PAHs was counted. The OP of particles from the pellet burning was also significantly lower than that from raw biomass by 96%. The results suggested that pelletized biomass could be a transitional substitution option that can significantly improve air quality and mitigate human exposure.
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Affiliation(s)
- Lu Zhang
- Laboratory for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Department of Civil & Environmental Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, China
| | - Yaojie Li
- Laboratory for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Jin Li
- Laboratory for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Ran Xing
- Laboratory for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Xinlei Liu
- Laboratory for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Jinfeng Zhao
- Faculty of Environmental Science& Engineering, Kunming University of Science and Technology, Kunming 650500, China
| | - Guofeng Shen
- Laboratory for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Southwest United Graduate School, Kunming 650092, China
| | - Bo Pan
- Faculty of Environmental Science& Engineering, Kunming University of Science and Technology, Kunming 650500, China
| | - Xiangdong Li
- Department of Civil & Environmental Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, China
| | - Shu Tao
- Laboratory for Earth Surface Process, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- Southwest United Graduate School, Kunming 650092, China
- College of Environmental Science and Technology, Southern University of Science and Technology, Shenzhen 518055, China
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Yin S, Lu Z, Zhang Y, Song L, Bi S, Luo X, Yao L, Bi X, Bo H, Feng Y. Characteristics of number concentration, size distribution and components of particulate matter emitted from a typical large civil airport. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 927:172040. [PMID: 38554962 DOI: 10.1016/j.scitotenv.2024.172040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 03/25/2024] [Accepted: 03/26/2024] [Indexed: 04/02/2024]
Abstract
Civil airports are recognized as significant contributors to fine particulate matter, especially ultra-fine particulate matter (UFP). The pollutants from airport activities have a notable adverse impact on global climate, urban air quality, and public health. However, there is a lack of practical observational studies on the characterization of integrated pollutant emissions from large civil airports. This study aims to focus on the combined emission characteristics of particulate number concentration (PNC), size distribution, and components at a large civil airport, especially UFP. The findings reveal that airport activities significantly contribute to elevated PNC levels during aircraft activity in downwind conditions (four times higher than background levels) and upwind conditions (7.5 times higher). UFP dominates the PNC around the airport. The particle size distribution shows two peaks occurring around 10-30 nm and 60-80 nm. Notably, particles within the ranges of 17-29 nm and 57-101 nm account for 65.9 % and 12.0 % of the total PNC respectively. Aircraft landing has the greatest impact on particles sized between 6 and 17 nm while takeoff affects particles sized between 29 and 57 nm resulting in a respective increase in PNC by factors of approximately 3.27 and 35.4-fold increase compared to background levels. Different aircraft types exhibit varying effects on PNC with A320 and A321 showing more pronounced effects during takeoff and landing.The presence of airports leads to roughly five-fold rise in elemental component concentrations with Si being highest followed by OC, Ca, Al, Fe, Ca2+, EC, and Mg2+. The OC/EC ratio under high aircraft activity in downwind conditions falls within range of approximately 2.5-3.5. These characteristic components and ratio can be considered as identifying species for civil airports. PMF model show about 75 % of the particulate emissions at the airport boundary were related to airport activities.
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Affiliation(s)
- Sihan Yin
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; China Meteorological Administration-Nankai University Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER), College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Zhichao Lu
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; China Meteorological Administration-Nankai University Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER), College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Yufei Zhang
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; China Meteorological Administration-Nankai University Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER), College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Lilai Song
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; China Meteorological Administration-Nankai University Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER), College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Shenyu Bi
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; China Meteorological Administration-Nankai University Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER), College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Xi Luo
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; China Meteorological Administration-Nankai University Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER), College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Lu Yao
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; China Meteorological Administration-Nankai University Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER), College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Xiaohui Bi
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; China Meteorological Administration-Nankai University Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER), College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
| | - Han Bo
- Research Centre for Environment and Sustainable Development of Civil Aviation Administration of China, School of Transportation Science and Engineering, Civil Aviation University of China, Tianjin 300300, China
| | - Yinchang Feng
- State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; China Meteorological Administration-Nankai University Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER), College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China
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Li B, Ma Y, Zhou Y, Chai E. Research progress of different components of PM 2.5 and ischemic stroke. Sci Rep 2023; 13:15965. [PMID: 37749193 PMCID: PMC10519985 DOI: 10.1038/s41598-023-43119-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 09/20/2023] [Indexed: 09/27/2023] Open
Abstract
PM2.5 is a nonhomogeneous mixture of complex components produced from multiple sources, and different components of this mixture have different chemical and biological toxicities, which results in the fact that the toxicity and hazards of PM2.5 may vary even for the same mass of PM2.5. Previous studies on PM2.5 and ischemic stroke have reached different or even opposing conclusions, and considering the heterogeneity of PM2.5 has led researchers to focus on the health effects of specific PM2.5 components. However, due to the complexity of PM2.5 constituents, assessing the association between exposure to specific PM2.5 constituents and ischemic stroke presents significant challenges. Therefore, this paper reviews and analyzes studies related to PM2.5 and its different components and ischemic stroke, aiming to understand the composition of PM2.5 and identify its harmful components, elucidate their relationship with ischemic stroke, and thus provide some insights and considerations for studying the biological mechanisms by which they affect ischemic stroke and for the prevention and treatment of ischemic stroke associated with different components of PM2.5.
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Affiliation(s)
- Bin Li
- First Clinical Medicine College, Gansu University of Traditional Chinese Medicine, Lanzhou, 730000, China
| | - Yong Ma
- Ningxia Medical University, Yinchuan, 750000, China
| | - Yu Zhou
- Lanzhou University, Lanzhou, 730000, China
| | - Erqing Chai
- Key Laboratory of Cerebrovascular Diseases of Gansu Province, Cerebrovascular Disease Center, Gansu Provincial People's Hospital, Lanzhou, 730000, China.
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Zhao Z, Tian J, Zhang W, Zhang Q, Wu Z, Xing Y, Li F, Song X, Li Z. Chemical Source Profiles and Toxicity Assessment of Urban Fugitive Dust PM 2.5 in Guanzhong Plain, China. TOXICS 2023; 11:676. [PMID: 37624181 PMCID: PMC10458601 DOI: 10.3390/toxics11080676] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 08/02/2023] [Accepted: 08/05/2023] [Indexed: 08/26/2023]
Abstract
Urban fugitive dust is a significant contributor to atmospheric PM2.5 and a potential risk to humans. In 2019, both road dust and construction dust were collected from four cities, including Xi'an, Xianyang, Baoji, and Tongchuan, in Guanzhong Plain, China. Elements, water-soluble ions, and carbonaceous fractions were determined to establish the chemical source profile. High enrichment degrees of Se, Sc, Cl, and Zn in both road dust and construction dust indicated that the industrial system and energy consumption influenced Guanzhong Plain strongly. According to the coefficient of divergence, the two datasets within Xianyang and Tongchuan were similar. Combined with the chemical profile, road dust was affected by more stationary emission sources than construction dust in Xi'an, while biomass burning and vehicle exhaust contributed more to road dust than construction dust in Baoji. Moreover, the health risk of heavy metal was assessed, and corresponding influencing factors were identified. Road dust in all cities showed a non-negligible non-carcinogenic risk for children. Ingestion and inhalation were the main exposure pathways to which As and Co contributed the most, respectively. The land-use regression model revealed that the first-class road in a 100 m radius impacted all high-risk level metals, and the commercial building material and enterprises weakly influenced Co and Pb, respectively.
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Affiliation(s)
- Ziyi Zhao
- Key Laboratory of Northwest Resource, Environment and Ecology, MOE, Xi’an University of Architecture and Technology, Xi’an 710055, China; (Z.Z.); (Z.W.); (Z.L.)
| | - Jie Tian
- Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710061, China;
| | - Wenyan Zhang
- Zhongsheng Environmental Technology Development Company Limited, Shaanxi Environmental Protection Industry Group Company Limited, Xi’an 710065, China;
| | - Qian Zhang
- Key Laboratory of Northwest Resource, Environment and Ecology, MOE, Xi’an University of Architecture and Technology, Xi’an 710055, China; (Z.Z.); (Z.W.); (Z.L.)
- Key Lab of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710061, China;
| | - Zhichun Wu
- Key Laboratory of Northwest Resource, Environment and Ecology, MOE, Xi’an University of Architecture and Technology, Xi’an 710055, China; (Z.Z.); (Z.W.); (Z.L.)
| | - Yan Xing
- Key Laboratory of Shaanxi Environmental Medium Trace Pollutants Monitoring and Early Warning, Shaanxi Environmental Monitoring Center, Xi’an 710054, China; (Y.X.); (F.L.); (X.S.)
| | - Fei Li
- Key Laboratory of Shaanxi Environmental Medium Trace Pollutants Monitoring and Early Warning, Shaanxi Environmental Monitoring Center, Xi’an 710054, China; (Y.X.); (F.L.); (X.S.)
| | - Xinyu Song
- Key Laboratory of Shaanxi Environmental Medium Trace Pollutants Monitoring and Early Warning, Shaanxi Environmental Monitoring Center, Xi’an 710054, China; (Y.X.); (F.L.); (X.S.)
- Environmental Monitoring Station of Baqiao Branch, Xi’an Ecology of Environment Bureau, Xi’an 710038, China
| | - Zhihua Li
- Key Laboratory of Northwest Resource, Environment and Ecology, MOE, Xi’an University of Architecture and Technology, Xi’an 710055, China; (Z.Z.); (Z.W.); (Z.L.)
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Dong Z, Li X, Kong Z, Wang L, Zhang R. Comparison and implications of the carbonaceous fractions under different environments in polluted central plains in China: Insight from the lockdown of COVID-19 outbreak. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 330:121736. [PMID: 37121300 PMCID: PMC10140640 DOI: 10.1016/j.envpol.2023.121736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 04/05/2023] [Accepted: 04/27/2023] [Indexed: 05/04/2023]
Abstract
Before and during the COVID-19 outbreak in the heated winter season of 2019, the carbonaceous fractions including organic carbon (OC), elemental carbon (EC), OC1-4, and EC1-5 were investigated between normal (November 1, 2019, to January 24, 2020) and lockdown (January 25, to February 29, 2020) periods in polluted regions of northern Henan Province. In comparison to urban site, four rural sites showed higher concentrations of carbonaceous components, especially secondary OC (SOC); the concentration of SOC in rural sites was 1.5-3.4 times that in the urban site. During the lockdown period, SOC in urban site decreased slightly, while it increased significantly in rural sites. NO2 has a significant effect on SOC generation, particularly in normal period when NO2 concentrations were high. Nevertheless, NO2 significantly decreased, and the elevated O3 (increased by 103-138%) contributed considerably to the generation of SOC during lockdown. Relative humidity (RH) promoted SOC production when RH was below 60%, but SOC was negatively correlated or uncorrelated with RH when RH exceeded 60%. Additionally, RH has a more pronounced effect on SOC during lockdown. The contribution of gasoline vehicle emissions decreases significantly in both urban and rural sites (3-12%) due to the significant reduction of anthropogenic activities during lockdown, although the urban site remained with the biggest contributions (37%). These results provide innovative insights into the variations in carbonaceous aerosols and SOC generation during the unique time when anthropogenic sources were significantly reduced and illustrate the differences in pollution characteristics and sources of carbonaceous fractions in different environments.
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Affiliation(s)
- Zhe Dong
- College of Chemistry, Zhengzhou University, Zhengzhou, 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Xiao Li
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Zihan Kong
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Lingling Wang
- Henan Environmental Monitoring Center, Zhengzhou, 450004, China
| | - Ruiqin Zhang
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China.
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Dong Z, Wang S, Sun J, Shang L, Li Z, Zhang R. Impact of COVID-19 lockdown on carbonaceous aerosols in a polluted city: Composition characterization, source apportionment, influence factors of secondary formation. CHEMOSPHERE 2022; 307:136028. [PMID: 35973498 PMCID: PMC9375178 DOI: 10.1016/j.chemosphere.2022.136028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 08/06/2022] [Accepted: 08/08/2022] [Indexed: 05/16/2023]
Abstract
Carbonaceous fractions throughout the normal period and lockdown period (LP) before and during COVID-19 outbreak were analyzed in a polluted city, Zhengzhou, China. During LP, fine particulate matters, elemental carbon (EC), and secondary organic aerosol (SOC) concentrations fell significantly (29%, 32% and 21%), whereas organic carbon (OC) only decreased by 4%. Furthermore, the mean OC/EC ratio increased (from 3.8 to 5.4) and the EC fractions declined dramatically, indicating a reduction in vehicle emission contribution. The fact that OC1-3, EC, and EC1 had good correlations suggested that OC1-3 emanated from primary emissions. OC4 was partly from secondary generation, and increased correlations of OC4 with OC1-3 during LP indicated a decrease in the share of SOC. SOC was more impacted by NO2 throughout the research phase, thereby the concentrations were lower during LP when NO2 levels were lower. SOC and relative humidity (RH) were found to be positively associated only when RH was below 80% and 60% during the normal period (NP) and LP, respectively. SOC, Coal combustion, gasoline vehicles, biomass burning, diesel vehicles were identified as major sources by the Positive Matrix Factorization (PMF) model. Contribution of SOC apportioned by PMF was 3.4 and 3.0 μg/m3, comparable to the calculated findings (3.8 and 3.0 μg/m3) during the two periods. During LP, contributions from gasoline vehicles dropped the most, from 47% to 37% and from 7.1 to 4.3 μg/m3, contribution of biomass burning and diesel vehicles fell by 3% (0.6 μg/m3) and 1% (0.4 μg/m3), and coal combustion concentrations remained nearly constant. The findings of this study highlight the immense importance of anthropogenic source reduction in carbonaceous component variations and SOC generation, and provide significant insight into the temporal variations and sources of carbonaceous fractions in polluted cities.
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Affiliation(s)
- Zhe Dong
- College of Chemistry, Zhengzhou University, Zhengzhou, 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Shenbo Wang
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Jiabin Sun
- College of Chemistry, Zhengzhou University, Zhengzhou, 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Luqi Shang
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Zihan Li
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Ruiqin Zhang
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou, 450001, China.
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Nussbaumer CM, Cohen RC. Impact of OA on the Temperature Dependence of PM 2.5 in the Los Angeles Basin. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2021; 55:3549-3558. [PMID: 33661623 DOI: 10.1021/acs.est.0c07144] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Air quality policy in the Los Angeles megacity is a guidepost for other megacities. Over the last 2 decades, the policy has substantially reduced aerosol (OA) concentrations and the frequency of high aerosol events in the region. During this time, the emissions contributing to, and the temperature associated with, high aerosol events have changed. Early in the record, aerosol concentrations responded to a variety of different sources. We show that emission control has been effective with a strong decrease in temperature-independent sources. As a result, the response of aerosol to temperature has become a dominant feature of high aerosol events in the basin. The organic fraction of the aerosol (OA) increases with the temperature approaching 35% at 40 °C. We describe a simple conceptual model of aerosol in Los Angeles, illustrating how benzene, toluene, ethylbenzene, and xylenes (BTEX) and isoprene, along with molecules for which these are plausible surrogates such as monoterpenes, are sufficient to explain the observed temperature dependence of PM 2.5.
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Affiliation(s)
- Clara M Nussbaumer
- Department of Chemistry, University of California, Berkeley, Berkeley, California 94720, United States
| | - Ronald C Cohen
- Department of Chemistry, University of California, Berkeley, Berkeley, California 94720, United States
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Assessment of carbonaceous fractions in ambient aerosols at high altitude and lowland urban locations of Kumaon Province, Indian Himalaya. SN APPLIED SCIENCES 2021. [DOI: 10.1007/s42452-020-04010-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
Abstract
AbstractThe present study investigates the characteristics of carbonaceous species like organic carbon (OC) and elemental carbon (EC) in ambient total suspended particulates (TSP) at Bhimtal (high altitude urban, 1413 m asl) and Pantnagar (lowland urban, 224 m asl) sites of Kumaon province in Uttarakhand, Indian Himalayan region during winter and summer 2017–2018. Ambient TSP samples were taken on quartz filters with high volume sampler followed by OC and EC quantification using IMPROVE_thermal optical reflectance protocol. Results showed that distinct seasonal differences in carbonaceous species levels were observed at both sites, while day- and night-time concentrations did not show notable variations. Further, total carbonaceous aerosols (TCA) at Pantnagar were approximately 3.0 and 1.3 times higher than Bhimtal for winter and summer, respectively, where estimated TCA accounted for ~ 30% to total TSP at both sites. Among quantified eight carbon fractions, OC2 and OC3 at Bhimtal while EC1 and EC2 at Pantnagar were the most abundant components. The char-EC and soot-EC concentrations showed a similar seasonal pattern where char contributed significantly as 89–90% to total EC at both sites. The observed OC/EC ratios suggested the formation of secondary organic carbon and char-EC/soot-EC ratios implied biomass burning as major sources for carbonaceous aerosols. Pearson correlation analysis indicated that char-EC showed significant higher correlations with OC and EC than soot-EC which infers different formation mechanisms of char and soot. Most of the carbonaceous parameters exhibited contrasting positive and negative correlations with the boundary layer height, temperature, and solar radiation at Bhimtal and Pantnagar, respectively.
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Characteristics of Carbonaceous Matter in Aerosol from Selected Urban and Rural Areas of Southern Poland. ATMOSPHERE 2020. [DOI: 10.3390/atmos11070687] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The purpose of this study is to obtain a detailed picture of the spatial and seasonal variability of carbonaceous matter in southern Poland. Particulate matter (PM) samples from eight selected urban and rural background sites were analyzed for organic carbon (OC) and elemental carbon (EC) (thermal-optical method, “eusaar_2” protocol), and the content of secondary (SOC) and primary organic carbon (POC) was estimated. The OC and EC dynamics were further studied using each of the thermally-derived carbon fractions (OC1–4, PC, and EC1–4). Clear spatiotemporal variability of carbonaceous compounds concentrations was observed, with higher levels recorded during the heating season. The considered measurement sites differed particularly in the shares of SOC and POC, with higher values of POC contents especially in rural areas. In terms of the content of carbon fractions, the analyzed sites showed roughly the same characteristics, with PC, OC4, and OC2 as dominant fractions of OC and with clear dominance of EC3 and EC2 over other EC fractions. The results obtained as part of this work may be a valuable source of information about the actual status of the carbonaceous matter, which remains one of the least known components of atmospheric PM.
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Hao Y, Meng X, Yu X, Lei M, Li W, Yang W, Shi F, Xie S. Exploring the characteristics and sources of carbonaceous aerosols in the agro-pastoral transitional zone of Northern China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 249:589-597. [PMID: 30933756 DOI: 10.1016/j.envpol.2019.03.073] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2018] [Revised: 01/29/2019] [Accepted: 03/18/2019] [Indexed: 06/09/2023]
Abstract
Carbonaceous aerosols are linked to severe haze and health effects, while its origins remain still unclear over China. PM2.5 samples covering four seasons from Jan. 2016 to Jan. 2017 were collected at six sites in Chifeng, a representative agro-pastoral transitional zone of North China focusing on the characteristics and sources of organic carbon (OC) and elemental carbon (EC). The annual averages of OC, EC were 9.00 ± 7.24 μg m-3, 1.06 ± 0.79 μg m-3 with site Songshan in coal mining region exhibited significantly enhanced levels. The residential heating emissions, air stagnation, and secondary organic formation all contributed the higher OC, EC levels in winter. Meanwhile, the impacts from open biomass burning were most intensive in spring. The retroplumes via Lagrangian model highlighted a strong seasonality of regional sources which had more impacts on EC increases. The Positive Matrix Factorization (PMF) model resolved six primary sources, namely, coal combustion, biomass burning, industrial processes, oil combustion, fugitive dust, and fireworks. Coal combustion and biomass burning comprised large fractions of OC (30.57%, 30.40%) and EC (23.26%, 38.47%) across the sites, while contributions of industrial processes and oil combustion clearly increased in the sites near industrial sources as smelters. PMF and EC tracer method gave well correlated (r=0.65) estimates of Secondary OC (SOC). The proportion of coal combustion and SOC were more enhanced along with PM2.5 elevation compared to other sources, suggesting their importances during the pollution events.
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Affiliation(s)
- Yufang Hao
- College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing, 100871, China
| | - Xiangpeng Meng
- Environmental Monitoring Station, Chifeng Municipal Environmental Protection Bureau, Inner Mongolia, Chifeng, 024000, China
| | - Xuepu Yu
- Environmental Monitoring Station, Chifeng Municipal Environmental Protection Bureau, Inner Mongolia, Chifeng, 024000, China
| | - Mingli Lei
- Environmental Monitoring Station, Chifeng Municipal Environmental Protection Bureau, Inner Mongolia, Chifeng, 024000, China
| | - Wenjun Li
- Environmental Monitoring Station, Chifeng Municipal Environmental Protection Bureau, Inner Mongolia, Chifeng, 024000, China
| | - Wenwen Yang
- College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing, 100871, China
| | - Fangtian Shi
- College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing, 100871, China
| | - Shaodong Xie
- College of Environmental Sciences and Engineering, State Key Joint Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing, 100871, China.
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12
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Li HZ, Dallmann TR, Li X, Gu P, Presto AA. Urban Organic Aerosol Exposure: Spatial Variations in Composition and Source Impacts. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2018; 52:415-426. [PMID: 29227637 DOI: 10.1021/acs.est.7b03674] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
We conducted a mobile sampling campaign in a historically industrialized terrain (Pittsburgh, PA) targeting spatial heterogeneity of organic aerosol. Thirty-six sampling sites were chosen based on stratification of traffic, industrial source density, and elevation. We collected organic carbon (OC) on quartz filters, quantified different OC components with thermal-optical analysis, and grouped them based on volatility in decreasing order (OC1, OC2, OC3, OC4, and pyrolyzed carbon (PC)). We compared our ambient OC concentrations (both gas and particle phase) to similar measurements from vehicle dynamometer tests, cooking emissions, biomass burning emissions, and a highway traffic tunnel. OC2 and OC3 loading on ambient filters showed a strong correlation with primary emissions while OC4 and PC were more spatially homogeneous. While we tested our hypothesis of OC2 and OC3 as markers of fresh source exposure for Pittsburgh, the relationship seemed to hold at a national level. Land use regression (LUR) models were developed for the OC fractions, and models had an average R2 of 0.64 (SD = 0.09). The paper demonstrates that OC2 and OC3 can be useful markers for fresh emissions, OC4 is a secondary OC indicator, and PC represents both biomass burning and secondary aerosol. People with higher OC exposure are likely inhaling more fresh OC2 and OC3, since secondary OC4 and PC varies much less drastically in space or with local primary sources.
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Affiliation(s)
- Hugh Z Li
- Center for Atmospheric Particle Studies, Carnegie Mellon University , Pittsburgh, Pennsylvania 15213, United States
| | - Timothy R Dallmann
- Center for Atmospheric Particle Studies, Carnegie Mellon University , Pittsburgh, Pennsylvania 15213, United States
| | - Xiang Li
- Center for Atmospheric Particle Studies, Carnegie Mellon University , Pittsburgh, Pennsylvania 15213, United States
| | - Peishi Gu
- Center for Atmospheric Particle Studies, Carnegie Mellon University , Pittsburgh, Pennsylvania 15213, United States
| | - Albert A Presto
- Center for Atmospheric Particle Studies, Carnegie Mellon University , Pittsburgh, Pennsylvania 15213, United States
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13
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Characteristics of Particulate Carbon in Precipitation during the Rainy Season in Xiamen Island, China. ATMOSPHERE 2016. [DOI: 10.3390/atmos7110140] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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14
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Witkowska A, Lewandowska AU, Saniewska D, Falkowska LM. Effect of agriculture and vegetation on carbonaceous aerosol concentrations (PM2.5 and PM10) in Puszcza Borecka National Nature Reserve (Poland). AIR QUALITY, ATMOSPHERE, & HEALTH 2016; 9:761-773. [PMID: 27785158 PMCID: PMC5054061 DOI: 10.1007/s11869-015-0378-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2015] [Accepted: 10/29/2015] [Indexed: 05/14/2023]
Abstract
Elemental carbon (EC) and organic carbon (OC) concentrations were measured in PM2.5 and PM10 samples collected at Diabla Gora (Puszcza Borecka National Nature Reserve, Poland) between 1 January and 31 December 2009, to investigate the seasonal and daily concentration variations and source regions. Strict sampling and measurement procedure, together with analysis of air mass backward trajectories and pollutant markers, indicated that the most important sources of carbon in the aerosols over Diabla Gora were vegetation, agricultural activity, and biomass burning. The highest contribution of secondary organic carbon (SOC) in aerosol mass (70 %) was detected during summer as a result of increased vegetation. In spring and autumn, raised concentrations of primary OC, calcium, and potassium and the presence of ammonium nitrate were observed in aerosols due to emission from surrounding fields and forests, as well as from fires in Lithuania. Anthropogenic influence on the increase in concentration of all carbon species was observed only in winter, when air masses drifted in from habitations situated within a radius of 50 km from the Diabla Gora station. Transport was of sporadic significance to the measured concentrations, and only in PM2.5 when wind speed was close to 1 m s-1. In this case, the concentration of EC rose several fold. Such a tendency was particularly noticeable with the influx of air masses from nearby cities and the Polish-Russian border, which is located 29 km away from the station.
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Affiliation(s)
- Agnieszka Witkowska
- Institute of Oceanography, University of Gdańsk, Al. Marszałka J. Piłsudskiego 46, 81-378 Gdynia, Polska
| | - Anita U. Lewandowska
- Institute of Oceanography, University of Gdańsk, Al. Marszałka J. Piłsudskiego 46, 81-378 Gdynia, Polska
| | - Dominika Saniewska
- Institute of Oceanography, University of Gdańsk, Al. Marszałka J. Piłsudskiego 46, 81-378 Gdynia, Polska
| | - Lucyna M. Falkowska
- Institute of Oceanography, University of Gdańsk, Al. Marszałka J. Piłsudskiego 46, 81-378 Gdynia, Polska
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15
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Liang CS, Duan FK, He KB, Ma YL. Review on recent progress in observations, source identifications and countermeasures of PM2.5. ENVIRONMENT INTERNATIONAL 2016; 86:150-170. [PMID: 26595670 DOI: 10.1016/j.envint.2015.10.016] [Citation(s) in RCA: 159] [Impact Index Per Article: 19.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2015] [Revised: 10/27/2015] [Accepted: 10/29/2015] [Indexed: 06/05/2023]
Abstract
Recently, PM2.5 (atmospheric fine particulate matter with aerodynamic diameter ≤ 2.5 μm) have received so much attention that the observations, source appointment and countermeasures of it have been widely studied due to its harmful impacts on visibility, mood (mental health), physical health, traffic safety, construction, economy and nature, as well as its complex interaction with climate. A review on the PM2.5 related research is necessary. We start with summary of chemical composition and characteristics of PM2.5 that contains both macro and micro observation results and analysis, wherein the temporal variability of concentrations of PM2.5 and major components in many recent reports is embraced. This is closely followed by an overview of source appointment, including the composition and sources of PM2.5 in different countries in the six inhabitable continents based on the best available results. Besides summarizing PM2.5 pollution countermeasures by policy, planning, technology and ideology, the World Air Day is proposed to be established to inspire and promote the crucial social action in energy-saving and emission-reduction. Some updated knowledge of the important topics (such as formation and evolution mechanisms of hazes, secondary aerosols, aerosol mass spectrometer, organic tracers, radiocarbon, emissions, solutions for air pollution problems, etc.) is also included in the present review by logically synthesizing the studies. In addition, the key research challenges and future directions are put forward. Despite our efforts, our understanding of the recent reported observations, source identifications and countermeasures of PM2.5 is limited, and subsequent efforts both of the authors and readers are needed.
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Affiliation(s)
- Chun-Sheng Liang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; Institute of Atmospheric Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Feng-Kui Duan
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China.
| | - Ke-Bin He
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Tsinghua University, Beijing 100084, China.
| | - Yong-Liang Ma
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Tsinghua University, Beijing 100084, China
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16
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Vodička P, Schwarz J, Cusack M, Ždímal V. Detailed comparison of OC/EC aerosol at an urban and a rural Czech background site during summer and winter. THE SCIENCE OF THE TOTAL ENVIRONMENT 2015; 518-519:424-33. [PMID: 25770955 DOI: 10.1016/j.scitotenv.2015.03.029] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2014] [Revised: 02/19/2015] [Accepted: 03/06/2015] [Indexed: 05/08/2023]
Abstract
Winter and summer measurements of organic carbon and elemental carbon (OC and EC) in PM2.5 were performed in parallel at two sites, the rural background station Košetice and the Prague-Suchdol urban background site, with a 2-h time resolution using semi-online field OC/EC analysers. Seasonal and site differences were found in the OC and EC contents of PM2.5. Overall, the highest concentrations of both OC and EC were during winter at the urban site. The average urban impact was 50% for OC and 70% for EC. The summer season gives similar concentrations of OC at both sites. However, higher concentrations of EC, caused by higher traffic, were found at the urban site with an average urban increase of 50%. Moreover, an analysis of four OC fractions depending on the volatility (OC1 - most volatile, OC4 - least volatile) and pyrolytic carbon (PC) is provided. A similar level of each OC fraction at both sites was found in summer, except for higher OC1 at urban and higher PC at the rural site. In winter, the differences between the urban and rural sites were dominated by a large increase of the OC1 fraction in comparison with the rural site. A diurnal pattern of concentration and share of OC1 and PC suggests a prevailing influence of local sources on their concentrations at the urban site in winter. The OC3 and OC4 diurnal cycles suggest their more regional or long range transport origin in both seasons. The prevalent influence of OC1 at any urban site has not been previously reported. The minimisation of semi-volatile carbon losses during semi-continuous sampling and analysis, in comparison with off-line sampling methods, is a probable reason for the observed differences.
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Affiliation(s)
- Petr Vodička
- Institute of Chemical Process Fundamentals of the CAS, v.v.i., Rozvojová 2/135, 165 02, Prague 6 - Suchdol, Czech Republic.
| | - Jaroslav Schwarz
- Institute of Chemical Process Fundamentals of the CAS, v.v.i., Rozvojová 2/135, 165 02, Prague 6 - Suchdol, Czech Republic
| | - Michael Cusack
- Institute of Chemical Process Fundamentals of the CAS, v.v.i., Rozvojová 2/135, 165 02, Prague 6 - Suchdol, Czech Republic
| | - Vladimír Ždímal
- Institute of Chemical Process Fundamentals of the CAS, v.v.i., Rozvojová 2/135, 165 02, Prague 6 - Suchdol, Czech Republic
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