Cargando…
Characteristics of Chemical Speciation in PM(1) in Six Representative Regions in China
A better knowledge of aerosol properties is of great significance for elucidating the complex mechanisms behind frequently occurring haze pollution events. In this study, we examine the temporal and spatial variations in both PM(1) and its major chemical constituents using three-year field measureme...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Science Press
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8023521/ https://www.ncbi.nlm.nih.gov/pubmed/33840873 http://dx.doi.org/10.1007/s00376-020-0224-2 |
_version_ | 1783675131247198208 |
---|---|
author | Bai, Kaixu Wu, Can Li, Jianjun Li, Ke Guo, Jianping Wang, Gehui |
author_facet | Bai, Kaixu Wu, Can Li, Jianjun Li, Ke Guo, Jianping Wang, Gehui |
author_sort | Bai, Kaixu |
collection | PubMed |
description | A better knowledge of aerosol properties is of great significance for elucidating the complex mechanisms behind frequently occurring haze pollution events. In this study, we examine the temporal and spatial variations in both PM(1) and its major chemical constituents using three-year field measurements that were collected in six representative regions in China between 2012 and 2014. Our results show that both PM(1) and its chemical compositions varied significantly in space and time, with high PM(1) loadings mainly observed in the winter. By comparing chemical constituents between clean and polluted episodes, we find that the elevated PM(1) mass concentration during pollution events should be largely attributable to significant increases in organic matter (OM) and inorganic aerosols like sulfate, nitrate, and ammonium (SNA), indicative of the critical role of primary emissions and secondary aerosols in elevating PM(1) pollution levels. The ratios of PM(1)/PM(2.5) are found to be generally high in Shanghai and Guangzhou, while relatively low ratios are seen in Xi’an and Chengdu, indicating anthropogenic emissions were more likely to accumulate in forms of finer particles. With respect to the relative importance of chemical components and meteorological factors quantified via statistical modeling practices, we find that primary emissions and secondary aerosols were the two leading factors contributing to PM(1) variations, though meteorological factors also played important roles in regulating the dispersion of atmospheric PM. |
format | Online Article Text |
id | pubmed-8023521 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Science Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-80235212021-04-07 Characteristics of Chemical Speciation in PM(1) in Six Representative Regions in China Bai, Kaixu Wu, Can Li, Jianjun Li, Ke Guo, Jianping Wang, Gehui Adv Atmos Sci Original Paper A better knowledge of aerosol properties is of great significance for elucidating the complex mechanisms behind frequently occurring haze pollution events. In this study, we examine the temporal and spatial variations in both PM(1) and its major chemical constituents using three-year field measurements that were collected in six representative regions in China between 2012 and 2014. Our results show that both PM(1) and its chemical compositions varied significantly in space and time, with high PM(1) loadings mainly observed in the winter. By comparing chemical constituents between clean and polluted episodes, we find that the elevated PM(1) mass concentration during pollution events should be largely attributable to significant increases in organic matter (OM) and inorganic aerosols like sulfate, nitrate, and ammonium (SNA), indicative of the critical role of primary emissions and secondary aerosols in elevating PM(1) pollution levels. The ratios of PM(1)/PM(2.5) are found to be generally high in Shanghai and Guangzhou, while relatively low ratios are seen in Xi’an and Chengdu, indicating anthropogenic emissions were more likely to accumulate in forms of finer particles. With respect to the relative importance of chemical components and meteorological factors quantified via statistical modeling practices, we find that primary emissions and secondary aerosols were the two leading factors contributing to PM(1) variations, though meteorological factors also played important roles in regulating the dispersion of atmospheric PM. Science Press 2021-04-07 2021 /pmc/articles/PMC8023521/ /pubmed/33840873 http://dx.doi.org/10.1007/s00376-020-0224-2 Text en © Institute of Atmospheric Physics/Chinese Academy of Sciences, and Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Paper Bai, Kaixu Wu, Can Li, Jianjun Li, Ke Guo, Jianping Wang, Gehui Characteristics of Chemical Speciation in PM(1) in Six Representative Regions in China |
title | Characteristics of Chemical Speciation in PM(1) in Six Representative Regions in China |
title_full | Characteristics of Chemical Speciation in PM(1) in Six Representative Regions in China |
title_fullStr | Characteristics of Chemical Speciation in PM(1) in Six Representative Regions in China |
title_full_unstemmed | Characteristics of Chemical Speciation in PM(1) in Six Representative Regions in China |
title_short | Characteristics of Chemical Speciation in PM(1) in Six Representative Regions in China |
title_sort | characteristics of chemical speciation in pm(1) in six representative regions in china |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8023521/ https://www.ncbi.nlm.nih.gov/pubmed/33840873 http://dx.doi.org/10.1007/s00376-020-0224-2 |
work_keys_str_mv | AT baikaixu characteristicsofchemicalspeciationinpm1insixrepresentativeregionsinchina AT wucan characteristicsofchemicalspeciationinpm1insixrepresentativeregionsinchina AT lijianjun characteristicsofchemicalspeciationinpm1insixrepresentativeregionsinchina AT like characteristicsofchemicalspeciationinpm1insixrepresentativeregionsinchina AT guojianping characteristicsofchemicalspeciationinpm1insixrepresentativeregionsinchina AT wanggehui characteristicsofchemicalspeciationinpm1insixrepresentativeregionsinchina |