Source apportionment of PM_(2.5) light extinction in an urban atmosphere in China
Haze in China is primarily caused by high pollution of atmospheric fine particulates(PM2.5).However, the detailed source structures of PM2.5 light extinction have not been well established, especially for the roles of various organic aerosols, which makes haze management lack specified targets. This...
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Published in: | Journal of environmental sciences (China) Vol. 63; no. 1; pp. 277 - 284 |
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2018
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Abstract | Haze in China is primarily caused by high pollution of atmospheric fine particulates(PM2.5).However, the detailed source structures of PM2.5 light extinction have not been well established, especially for the roles of various organic aerosols, which makes haze management lack specified targets. This study obtained the mass concentrations of the chemical compositions and the light extinction coefficients of fine particles in the winter in Dongguan, Guangdong Province, using high time resolution aerosol observation instruments. We combined the positive matrix factor(PMF) analysis model of organic aerosols and the multiple linear regression method to establish a quantitative relationship model between the main chemical components, in particular the different sources of organic aerosols and the extinction coefficients of fine particles with a high goodness of fit(R~2= 0.953). The results show that the contribution rates of ammonium sulphate,ammonium nitrate, biomass burning organic aerosol(BBOA), secondary organic aerosol(SOA) and black carbon(BC) were 48.1%, 20.7%, 15.0%, 10.6%, and 5.6%, respectively. It can be seen that the contribution of the secondary aerosols is much higher than that of the primary aerosols(79.4% versus 20.6%) and are a major factor in the visibility decline. BBOA is found to have a high visibility destroying potential, with a high mass extinction coefficient, and was the largest contributor during some high pollution periods. A more detailed analysis indicates that the contribution of the enhanced absorption caused by BC mixing state was approximately 37.7% of the total particle absorption and should not be neglected. |
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AbstractList | Haze in China is primarily caused by high pollution of atmospheric fine particulates (PM
). However, the detailed source structures of PM
light extinction have not been well established, especially for the roles of various organic aerosols, which makes haze management lack specified targets. This study obtained the mass concentrations of the chemical compositions and the light extinction coefficients of fine particles in the winter in Dongguan, Guangdong Province, using high time resolution aerosol observation instruments. We combined the positive matrix factor (PMF) analysis model of organic aerosols and the multiple linear regression method to establish a quantitative relationship model between the main chemical components, in particular the different sources of organic aerosols and the extinction coefficients of fine particles with a high goodness of fit (R
=0.953). The results show that the contribution rates of ammonium sulphate, ammonium nitrate, biomass burning organic aerosol (BBOA), secondary organic aerosol (SOA) and black carbon (BC) were 48.1%, 20.7%, 15.0%, 10.6%, and 5.6%, respectively. It can be seen that the contribution of the secondary aerosols is much higher than that of the primary aerosols (79.4% versus 20.6%) and are a major factor in the visibility decline. BBOA is found to have a high visibility destroying potential, with a high mass extinction coefficient, and was the largest contributor during some high pollution periods. A more detailed analysis indicates that the contribution of the enhanced absorption caused by BC mixing state was approximately 37.7% of the total particle absorption and should not be neglected. Haze in China is primarily caused by high pollution of atmospheric fine particulates(PM2.5).However, the detailed source structures of PM2.5 light extinction have not been well established, especially for the roles of various organic aerosols, which makes haze management lack specified targets. This study obtained the mass concentrations of the chemical compositions and the light extinction coefficients of fine particles in the winter in Dongguan, Guangdong Province, using high time resolution aerosol observation instruments. We combined the positive matrix factor(PMF) analysis model of organic aerosols and the multiple linear regression method to establish a quantitative relationship model between the main chemical components, in particular the different sources of organic aerosols and the extinction coefficients of fine particles with a high goodness of fit(R~2= 0.953). The results show that the contribution rates of ammonium sulphate,ammonium nitrate, biomass burning organic aerosol(BBOA), secondary organic aerosol(SOA) and black carbon(BC) were 48.1%, 20.7%, 15.0%, 10.6%, and 5.6%, respectively. It can be seen that the contribution of the secondary aerosols is much higher than that of the primary aerosols(79.4% versus 20.6%) and are a major factor in the visibility decline. BBOA is found to have a high visibility destroying potential, with a high mass extinction coefficient, and was the largest contributor during some high pollution periods. A more detailed analysis indicates that the contribution of the enhanced absorption caused by BC mixing state was approximately 37.7% of the total particle absorption and should not be neglected. |
Author | Zijuan Lan;Bin Zhang;Xiaofeng Huang;Qiao Zhu;Jinfeng Yuan;Liwu Zeng;Min Hu;Lingyan He |
AuthorAffiliation | Key Laboratory for Urban Habitat Enuironmental Science and Technology, School of Enuironment and Energy, Pekin9 University ShenzhenGraduate School, Shenzhen 518055, China;Shenzhen Research Academy of Environmental Sciences, Shenzhen 518001, China;State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering,Peking University, Beijing 100871, China |
Author_xml | – sequence: 1 givenname: Zijuan surname: Lan fullname: Lan, Zijuan organization: Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China; Shenzhen Research Academy of Environmental Sciences, Shenzhen 518001, China – sequence: 2 givenname: Bin surname: Zhang fullname: Zhang, Bin organization: Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China – sequence: 3 givenname: Xiaofeng surname: Huang fullname: Huang, Xiaofeng email: huangxf@pku.edu.cn organization: Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China. Electronic address: huangxf@pku.edu.cn – sequence: 4 givenname: Qiao surname: Zhu fullname: Zhu, Qiao organization: Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China – sequence: 5 givenname: Jinfeng surname: Yuan fullname: Yuan, Jinfeng organization: Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China – sequence: 6 givenname: Liwu surname: Zeng fullname: Zeng, Liwu organization: Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China – sequence: 7 givenname: Min surname: Hu fullname: Hu, Min organization: State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China – sequence: 8 givenname: Lingyan surname: He fullname: He, Lingyan organization: Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China |
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Keywords | Light extinction Organic aerosol Multiple linear regression Positive matrix factorisation Fine particles |
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Notes | Fine particles Organic aerosol Positive matrix factorisation Light extinction Multiple linear regression Haze in China is primarily caused by high pollution of atmospheric fine particulates(PM2.5).However, the detailed source structures of PM2.5 light extinction have not been well established, especially for the roles of various organic aerosols, which makes haze management lack specified targets. This study obtained the mass concentrations of the chemical compositions and the light extinction coefficients of fine particles in the winter in Dongguan, Guangdong Province, using high time resolution aerosol observation instruments. We combined the positive matrix factor(PMF) analysis model of organic aerosols and the multiple linear regression method to establish a quantitative relationship model between the main chemical components, in particular the different sources of organic aerosols and the extinction coefficients of fine particles with a high goodness of fit(R~2= 0.953). The results show that the contribution rates of ammonium sulphate,ammonium nitrate, biomass burning organic aerosol(BBOA), secondary organic aerosol(SOA) and black carbon(BC) were 48.1%, 20.7%, 15.0%, 10.6%, and 5.6%, respectively. It can be seen that the contribution of the secondary aerosols is much higher than that of the primary aerosols(79.4% versus 20.6%) and are a major factor in the visibility decline. BBOA is found to have a high visibility destroying potential, with a high mass extinction coefficient, and was the largest contributor during some high pollution periods. A more detailed analysis indicates that the contribution of the enhanced absorption caused by BC mixing state was approximately 37.7% of the total particle absorption and should not be neglected. 11-2629/X |
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Snippet | Haze in China is primarily caused by high pollution of atmospheric fine particulates(PM2.5).However, the detailed source structures of PM2.5 light extinction... Haze in China is primarily caused by high pollution of atmospheric fine particulates (PM ). However, the detailed source structures of PM light extinction have... |
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SubjectTerms | Aerosols - analysis Air Pollutants - analysis Air Pollution - statistics & numerical data Atmosphere - chemistry China Environmental Monitoring Particulate Matter - analysis 扑灭;中国;气氛;城市;分配;高时间分辨率;线性回归方法;喷雾器 |
Title | Source apportionment of PM_(2.5) light extinction in an urban atmosphere in China |
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