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Contribution of local and surrounding anthropogenic emissions to a particulate matter pollution episode in Zhengzhou, Henan, China
In this study, we simulated the spatial and temporal processes of a particulate matter (PM) pollution episode from December 10–29, 2019, in Zhengzhou, the provincial capital of Henan, China, which has a large population and severe PM pollution. As winter is the high incidence period of particulate p...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10229599/ https://www.ncbi.nlm.nih.gov/pubmed/37253757 http://dx.doi.org/10.1038/s41598-023-35399-8 |
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author | Wang, Yaobin Wang, Feng Min, Ruiqi Song, Genxin Song, Hongquan Zhai, Shiyan Xia, Haoming Zhang, Haopeng Ru, Xutong |
author_facet | Wang, Yaobin Wang, Feng Min, Ruiqi Song, Genxin Song, Hongquan Zhai, Shiyan Xia, Haoming Zhang, Haopeng Ru, Xutong |
author_sort | Wang, Yaobin |
collection | PubMed |
description | In this study, we simulated the spatial and temporal processes of a particulate matter (PM) pollution episode from December 10–29, 2019, in Zhengzhou, the provincial capital of Henan, China, which has a large population and severe PM pollution. As winter is the high incidence period of particulate pollution, winter statistical data were selected from the pollutant observation stations in the study area. During this period, the highest concentrations of PM(2.5) (atmospheric PM with a diameter of less than 2.5 µm) and PM(10) (atmospheric PM with a diameter of less than 10 µm) peaked at 283 μg m(-3) and 316 μg m(-3), respectively. The contribution rates of local and surrounding regional emissions within Henan (emissions from the regions to the south, northwest, and northeast of Zhengzhou) to PM concentrations in Zhengzhou were quantitatively analyzed based on the regional Weather Research and Forecasting model coupled with Chemistry (WRF/Chem). Model evaluation showed that the WRF/Chem can accurately simulate the spatial and temporal variations in the PM concentrations in Zhengzhou. We found that the anthropogenic emissions south of Zhengzhou were the main causes of high PM concentrations during the studied episode, with contribution rates of 14.39% and 16.34% to PM(2.5) and PM(10), respectively. The contributions of anthropogenic emissions from Zhengzhou to the PM(2.5) and PM(10) concentrations in Zhengzhou were 7.94% and 7.29%, respectively. The contributions of anthropogenic emissions from the area northeast of Zhengzhou to the PM(2.5) and PM(10) concentrations in Zhengzhou were 7.42% and 7.18%, respectively. These two areas had similar contributions to PM pollution in Zhengzhou. The area northeast of Zhengzhou had the lowest contributions to the PM(2.5) and PM(10) concentrations in Zhengzhou (5.96% and 5.40%, respectively). |
format | Online Article Text |
id | pubmed-10229599 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102295992023-06-01 Contribution of local and surrounding anthropogenic emissions to a particulate matter pollution episode in Zhengzhou, Henan, China Wang, Yaobin Wang, Feng Min, Ruiqi Song, Genxin Song, Hongquan Zhai, Shiyan Xia, Haoming Zhang, Haopeng Ru, Xutong Sci Rep Article In this study, we simulated the spatial and temporal processes of a particulate matter (PM) pollution episode from December 10–29, 2019, in Zhengzhou, the provincial capital of Henan, China, which has a large population and severe PM pollution. As winter is the high incidence period of particulate pollution, winter statistical data were selected from the pollutant observation stations in the study area. During this period, the highest concentrations of PM(2.5) (atmospheric PM with a diameter of less than 2.5 µm) and PM(10) (atmospheric PM with a diameter of less than 10 µm) peaked at 283 μg m(-3) and 316 μg m(-3), respectively. The contribution rates of local and surrounding regional emissions within Henan (emissions from the regions to the south, northwest, and northeast of Zhengzhou) to PM concentrations in Zhengzhou were quantitatively analyzed based on the regional Weather Research and Forecasting model coupled with Chemistry (WRF/Chem). Model evaluation showed that the WRF/Chem can accurately simulate the spatial and temporal variations in the PM concentrations in Zhengzhou. We found that the anthropogenic emissions south of Zhengzhou were the main causes of high PM concentrations during the studied episode, with contribution rates of 14.39% and 16.34% to PM(2.5) and PM(10), respectively. The contributions of anthropogenic emissions from Zhengzhou to the PM(2.5) and PM(10) concentrations in Zhengzhou were 7.94% and 7.29%, respectively. The contributions of anthropogenic emissions from the area northeast of Zhengzhou to the PM(2.5) and PM(10) concentrations in Zhengzhou were 7.42% and 7.18%, respectively. These two areas had similar contributions to PM pollution in Zhengzhou. The area northeast of Zhengzhou had the lowest contributions to the PM(2.5) and PM(10) concentrations in Zhengzhou (5.96% and 5.40%, respectively). Nature Publishing Group UK 2023-05-30 /pmc/articles/PMC10229599/ /pubmed/37253757 http://dx.doi.org/10.1038/s41598-023-35399-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wang, Yaobin Wang, Feng Min, Ruiqi Song, Genxin Song, Hongquan Zhai, Shiyan Xia, Haoming Zhang, Haopeng Ru, Xutong Contribution of local and surrounding anthropogenic emissions to a particulate matter pollution episode in Zhengzhou, Henan, China |
title | Contribution of local and surrounding anthropogenic emissions to a particulate matter pollution episode in Zhengzhou, Henan, China |
title_full | Contribution of local and surrounding anthropogenic emissions to a particulate matter pollution episode in Zhengzhou, Henan, China |
title_fullStr | Contribution of local and surrounding anthropogenic emissions to a particulate matter pollution episode in Zhengzhou, Henan, China |
title_full_unstemmed | Contribution of local and surrounding anthropogenic emissions to a particulate matter pollution episode in Zhengzhou, Henan, China |
title_short | Contribution of local and surrounding anthropogenic emissions to a particulate matter pollution episode in Zhengzhou, Henan, China |
title_sort | contribution of local and surrounding anthropogenic emissions to a particulate matter pollution episode in zhengzhou, henan, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10229599/ https://www.ncbi.nlm.nih.gov/pubmed/37253757 http://dx.doi.org/10.1038/s41598-023-35399-8 |
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