Insights into PM2.5 pollution of four small and medium-sized cities in Chinese representative regions : Chemical compositions, sources and health risks
Copyright © 2024. Published by Elsevier B.V..
Fine particles (PM2.5) pollution is still a severe issue in some cities in China, where the chemical characteristics of PM2.5 remain unclear due to limited studies there. Herein, we focused on PM2.5 pollution in small and medium-sized cities in key urban agglomerations and conducted a comprehensive study on the PM2.5 chemical characteristics, sources, and health risks. In the autumn and winter of 2019-2020, PM2.5 samples were collected simultaneously in four small and medium-sized cities in four key regions: Dingzhou (Beijing-Tianjin-Hebei region), Weinan (Fenwei Plain region), Fukang (Northern Slope of the Tianshan Mountain region), and Bozhou (Yangtze River Delta region). The results showed that secondary inorganic ions (43.1 %-67.0 %) and organic matter (OM, 8.6 %-36.4 %) were the main components of PM2.5 in all the cities. Specifically, Fukang with the most severe PM2.5 pollution had the highest proportion of SO42- (31.2 %), while the dominant components in other cities were NO3- and OM. The Multilinear Engine 2 (ME2) analysis identified five sources of PM2.5 in these cities. Coal combustion contributed most to PM2.5 in Fukang, but secondary sources in other cities. Combined with chemical characteristics and ME2 analysis, it was preliminarily determined that the primary emission of coal combustion had an important contribution to high SO42- in Fukang. Potential source contribution function (PSCF) analysis results showed that regional transport played an important role in PM2.5 in Dingzhou, Weinan and Bozhou, while PM2.5 in Fukang was mainly affected by short-range transport from surrounding areas. Finally, the health risk assessment indicated Mn was the dominant contributor to the total non-carcinogenic risks and Cr had higher carcinogenic risks in all cities. The findings provide a scientific basis for formulating more effective abatement strategies for PM2.5 pollution.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:918 |
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| Enthalten in: |
The Science of the total environment - 918(2024) vom: 25. Feb., Seite 170620 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Liu, Jiayuan [VerfasserIn] |
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| Links: |
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| Themen: |
Air Pollutants |
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| Anmerkungen: |
Date Completed 22.02.2024 Date Revised 22.02.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.scitotenv.2024.170620 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 520 | |a Copyright © 2024. Published by Elsevier B.V. | ||
| 520 | |a Fine particles (PM2.5) pollution is still a severe issue in some cities in China, where the chemical characteristics of PM2.5 remain unclear due to limited studies there. Herein, we focused on PM2.5 pollution in small and medium-sized cities in key urban agglomerations and conducted a comprehensive study on the PM2.5 chemical characteristics, sources, and health risks. In the autumn and winter of 2019-2020, PM2.5 samples were collected simultaneously in four small and medium-sized cities in four key regions: Dingzhou (Beijing-Tianjin-Hebei region), Weinan (Fenwei Plain region), Fukang (Northern Slope of the Tianshan Mountain region), and Bozhou (Yangtze River Delta region). The results showed that secondary inorganic ions (43.1 %-67.0 %) and organic matter (OM, 8.6 %-36.4 %) were the main components of PM2.5 in all the cities. Specifically, Fukang with the most severe PM2.5 pollution had the highest proportion of SO42- (31.2 %), while the dominant components in other cities were NO3- and OM. The Multilinear Engine 2 (ME2) analysis identified five sources of PM2.5 in these cities. Coal combustion contributed most to PM2.5 in Fukang, but secondary sources in other cities. Combined with chemical characteristics and ME2 analysis, it was preliminarily determined that the primary emission of coal combustion had an important contribution to high SO42- in Fukang. Potential source contribution function (PSCF) analysis results showed that regional transport played an important role in PM2.5 in Dingzhou, Weinan and Bozhou, while PM2.5 in Fukang was mainly affected by short-range transport from surrounding areas. Finally, the health risk assessment indicated Mn was the dominant contributor to the total non-carcinogenic risks and Cr had higher carcinogenic risks in all cities. The findings provide a scientific basis for formulating more effective abatement strategies for PM2.5 pollution | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Chemical composition | |
| 650 | 4 | |a Fine particles | |
| 650 | 4 | |a Key regions | |
| 650 | 4 | |a Primary sulfate | |
| 650 | 4 | |a Small and medium-sized cities | |
| 650 | 4 | |a Sources | |
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| 650 | 7 | |a Particulate Matter |2 NLM | |
| 650 | 7 | |a Coal |2 NLM | |
| 700 | 1 | |a Ma, Tong |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Jianhua |e verfasserin |4 aut | |
| 700 | 1 | |a Peng, Xing |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Yuechong |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Yali |e verfasserin |4 aut | |
| 700 | 1 | |a Peng, Jianfei |e verfasserin |4 aut | |
| 700 | 1 | |a Shi, Guoliang |e verfasserin |4 aut | |
| 700 | 1 | |a Wei, Yuting |e verfasserin |4 aut | |
| 700 | 1 | |a Gao, Jian |e verfasserin |4 aut | |
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