Aerosols chemical composition, light extinction, and source apportionment near a desert margin city, Yulin, China

Daily PM10and PM2.5 sampling was conducted during four seasons from December 2013 to October 2014 at three monitoring sites over Yulin, a desert margin city. PM10 and PM2.5 levels, water soluble ions, organic carbon (OC), and elemental carbon (EC) were also analyzed to characterize their chemical pr...

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Main Authors: Yali Lei, Zhenxing Shen, Zhuoyue Tang, Qian Zhang, Jian Sun, Yongjing Ma, Xiaoyan Wu, Yiming Qin, Hongmei Xu, Renjian Zhang
Format: Article
Language:English
Published: PeerJ Inc. 2020-02-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/8447.pdf
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spelling doaj-e9c0cea7cd2c4e508d7bbfa0535a87202020-11-25T02:10:09ZengPeerJ Inc.PeerJ2167-83592020-02-018e844710.7717/peerj.8447Aerosols chemical composition, light extinction, and source apportionment near a desert margin city, Yulin, ChinaYali Lei0Zhenxing Shen1Zhuoyue Tang2Qian Zhang3Jian Sun4Yongjing Ma5Xiaoyan Wu6Yiming Qin7Hongmei Xu8Renjian Zhang9Department of Environmental Sciences and Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaDepartment of Environmental Sciences and Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaDepartment of Environmental Sciences and Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaSchool of Environmental & Municipal Engineering, Xi’an University of Architecture and Technology, Xi’an, Shaanxi, ChinaDepartment of Environmental Sciences and Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaCollege of Atmospheric Sciences, Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province, Lanzhou University, Lanzhou, ChinaCollege of Atmospheric Sciences, Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province, Lanzhou University, Lanzhou, ChinaSchool of Engineering and Applied Sciences, Harvard University, Cambridge, United States of AmericaDepartment of Environmental Sciences and Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, ChinaKey Laboratory of Regional Climate-Environment Research for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, ChinaDaily PM10and PM2.5 sampling was conducted during four seasons from December 2013 to October 2014 at three monitoring sites over Yulin, a desert margin city. PM10 and PM2.5 levels, water soluble ions, organic carbon (OC), and elemental carbon (EC) were also analyzed to characterize their chemical profiles. bext (light extinction coefficient) was calculated, which showed the highest in winter with an average of 232.95 ± 154.88 Mm−1, followed by autumn, summer, spring. Light extinction source apportionment results investigated (NH4)2SO4 and NH4NO3 played key roles in the light extinction under high RH conditions during summer and winter. Sulfate, nitrate and Ca2 + dominated in PM10/PM2.5 ions. Ion balance results illustrated that PM samples were alkaline, and PM10 samples were more alkaline than PM2.5. High SO42−/K+ and Cl−/K+ ratio indicated the important contribution of coal combustion, which was consistent with the OC/EC regression equation intercepts results. Principal component analysis (PCA) analyses results showed that the fugitive dust was the most major source of PM, followed by coal combustion & gasoline vehicle emissions, secondary formation and diesel vehicle emissions. Potential contribution source function (PSCF) results suggested that local emissions, as well as certain regional transport from northwesterly and southerly areas contributed to PM2.5 loadings during the whole year. Local government should take some measures to reduce the PM levels.https://peerj.com/articles/8447.pdfPM10/PM2.5Chemical speciesLight extinctionPotential contribution source functionPrincipal component analysisYulin
collection DOAJ
language English
format Article
sources DOAJ
author Yali Lei
Zhenxing Shen
Zhuoyue Tang
Qian Zhang
Jian Sun
Yongjing Ma
Xiaoyan Wu
Yiming Qin
Hongmei Xu
Renjian Zhang
spellingShingle Yali Lei
Zhenxing Shen
Zhuoyue Tang
Qian Zhang
Jian Sun
Yongjing Ma
Xiaoyan Wu
Yiming Qin
Hongmei Xu
Renjian Zhang
Aerosols chemical composition, light extinction, and source apportionment near a desert margin city, Yulin, China
PeerJ
PM10/PM2.5
Chemical species
Light extinction
Potential contribution source function
Principal component analysis
Yulin
author_facet Yali Lei
Zhenxing Shen
Zhuoyue Tang
Qian Zhang
Jian Sun
Yongjing Ma
Xiaoyan Wu
Yiming Qin
Hongmei Xu
Renjian Zhang
author_sort Yali Lei
title Aerosols chemical composition, light extinction, and source apportionment near a desert margin city, Yulin, China
title_short Aerosols chemical composition, light extinction, and source apportionment near a desert margin city, Yulin, China
title_full Aerosols chemical composition, light extinction, and source apportionment near a desert margin city, Yulin, China
title_fullStr Aerosols chemical composition, light extinction, and source apportionment near a desert margin city, Yulin, China
title_full_unstemmed Aerosols chemical composition, light extinction, and source apportionment near a desert margin city, Yulin, China
title_sort aerosols chemical composition, light extinction, and source apportionment near a desert margin city, yulin, china
publisher PeerJ Inc.
series PeerJ
issn 2167-8359
publishDate 2020-02-01
description Daily PM10and PM2.5 sampling was conducted during four seasons from December 2013 to October 2014 at three monitoring sites over Yulin, a desert margin city. PM10 and PM2.5 levels, water soluble ions, organic carbon (OC), and elemental carbon (EC) were also analyzed to characterize their chemical profiles. bext (light extinction coefficient) was calculated, which showed the highest in winter with an average of 232.95 ± 154.88 Mm−1, followed by autumn, summer, spring. Light extinction source apportionment results investigated (NH4)2SO4 and NH4NO3 played key roles in the light extinction under high RH conditions during summer and winter. Sulfate, nitrate and Ca2 + dominated in PM10/PM2.5 ions. Ion balance results illustrated that PM samples were alkaline, and PM10 samples were more alkaline than PM2.5. High SO42−/K+ and Cl−/K+ ratio indicated the important contribution of coal combustion, which was consistent with the OC/EC regression equation intercepts results. Principal component analysis (PCA) analyses results showed that the fugitive dust was the most major source of PM, followed by coal combustion & gasoline vehicle emissions, secondary formation and diesel vehicle emissions. Potential contribution source function (PSCF) results suggested that local emissions, as well as certain regional transport from northwesterly and southerly areas contributed to PM2.5 loadings during the whole year. Local government should take some measures to reduce the PM levels.
topic PM10/PM2.5
Chemical species
Light extinction
Potential contribution source function
Principal component analysis
Yulin
url https://peerj.com/articles/8447.pdf
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