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The unidirectional causality influence of factors on PM(2.5) in Shenyang city of China
Air quality issue such as particulate matter pollution (PM(2.5) and PM(10)) has become one of the biggest environmental problem in China. As one of the most important industrial base and economic core regions of China, Northeast China is facing serious air pollution problems in recent years, which h...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7242410/ https://www.ncbi.nlm.nih.gov/pubmed/32439904 http://dx.doi.org/10.1038/s41598-020-65391-5 |
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author | Yang, Hongmei Peng, Qin Zhou, Jun Song, Guojun Gong, Xinqi |
author_facet | Yang, Hongmei Peng, Qin Zhou, Jun Song, Guojun Gong, Xinqi |
author_sort | Yang, Hongmei |
collection | PubMed |
description | Air quality issue such as particulate matter pollution (PM(2.5) and PM(10)) has become one of the biggest environmental problem in China. As one of the most important industrial base and economic core regions of China, Northeast China is facing serious air pollution problems in recent years, which has a profound impact on the health of local residents and atmospheric environment in some part of East Asia. Therefore, it is urgent to understand temporal-spatial characteristics of particles and analyze the causality factors. The results demonstrated that variation trend of particles was almost similar, the annual, monthly and daily distribution had their own characteristics. Particles decreased gradually from south to north, from west to east. Correlation analysis showed that wind speed was the most important factor affecting particles, and temperature, air pressure and relative humidity were key factors in some seasons. Path analysis showed that there was complex unidirectional causal relationship between particles and individual or combined effects, and NO(2) and CO were key factors affecting PM(2.5). The hot and cold areas changed little with the seasons. All the above results suggests that planning the industrial layout, adjusting industrial structure, joint prevention and control were necessary measure to reduce particles concentration. |
format | Online Article Text |
id | pubmed-7242410 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72424102020-05-29 The unidirectional causality influence of factors on PM(2.5) in Shenyang city of China Yang, Hongmei Peng, Qin Zhou, Jun Song, Guojun Gong, Xinqi Sci Rep Article Air quality issue such as particulate matter pollution (PM(2.5) and PM(10)) has become one of the biggest environmental problem in China. As one of the most important industrial base and economic core regions of China, Northeast China is facing serious air pollution problems in recent years, which has a profound impact on the health of local residents and atmospheric environment in some part of East Asia. Therefore, it is urgent to understand temporal-spatial characteristics of particles and analyze the causality factors. The results demonstrated that variation trend of particles was almost similar, the annual, monthly and daily distribution had their own characteristics. Particles decreased gradually from south to north, from west to east. Correlation analysis showed that wind speed was the most important factor affecting particles, and temperature, air pressure and relative humidity were key factors in some seasons. Path analysis showed that there was complex unidirectional causal relationship between particles and individual or combined effects, and NO(2) and CO were key factors affecting PM(2.5). The hot and cold areas changed little with the seasons. All the above results suggests that planning the industrial layout, adjusting industrial structure, joint prevention and control were necessary measure to reduce particles concentration. Nature Publishing Group UK 2020-05-21 /pmc/articles/PMC7242410/ /pubmed/32439904 http://dx.doi.org/10.1038/s41598-020-65391-5 Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Yang, Hongmei Peng, Qin Zhou, Jun Song, Guojun Gong, Xinqi The unidirectional causality influence of factors on PM(2.5) in Shenyang city of China |
title | The unidirectional causality influence of factors on PM(2.5) in Shenyang city of China |
title_full | The unidirectional causality influence of factors on PM(2.5) in Shenyang city of China |
title_fullStr | The unidirectional causality influence of factors on PM(2.5) in Shenyang city of China |
title_full_unstemmed | The unidirectional causality influence of factors on PM(2.5) in Shenyang city of China |
title_short | The unidirectional causality influence of factors on PM(2.5) in Shenyang city of China |
title_sort | unidirectional causality influence of factors on pm(2.5) in shenyang city of china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7242410/ https://www.ncbi.nlm.nih.gov/pubmed/32439904 http://dx.doi.org/10.1038/s41598-020-65391-5 |
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