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Effects of Anthropogenic Emissions from Different Sectors on PM(2.5) Concentrations in Chinese Cities
PM(2.5) pollution has gradually attracted people’s attention due to its important negative impact on public health in recent years. The influence of anthropogenic emission factors on PM(2.5) concentrations is more complicated, but their relative individual impact on different emission sectors remain...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535752/ https://www.ncbi.nlm.nih.gov/pubmed/34682613 http://dx.doi.org/10.3390/ijerph182010869 |
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author | Yang, Jie Liu, Pengfei Song, Hongquan Miao, Changhong Wang, Feng Xing, Yu Wang, Wenjie Liu, Xinyu Zhao, Mengxin |
author_facet | Yang, Jie Liu, Pengfei Song, Hongquan Miao, Changhong Wang, Feng Xing, Yu Wang, Wenjie Liu, Xinyu Zhao, Mengxin |
author_sort | Yang, Jie |
collection | PubMed |
description | PM(2.5) pollution has gradually attracted people’s attention due to its important negative impact on public health in recent years. The influence of anthropogenic emission factors on PM(2.5) concentrations is more complicated, but their relative individual impact on different emission sectors remains unclear. With the aid of the geographic detector model (GeoDetector), this study evaluated the impacts of anthropogenic emissions from different sectors on the PM(2.5) concentrations of major cities in China. The results indicated that the influence of anthropogenic emissions factors with different emission sectors on PM(2.5) concentrations exhibited significant changes at different spatial and temporal scales. Residential emissions were the dominant driver at the national annual scale, and the NO(X) of residential emissions explained 20% (q = 0.2) of the PM(2.5) concentrations. In addition, residential emissions played the leading role at the regional annual scale and during most of the seasons in northern China, and ammonia emissions from residents were the dominant factor. Traffic emissions play a leading role in the four seasons for MUYR and EC in southern China, MYR and NC in northern China, and on a national scale. Compared with primary particulate matter, secondary anthropogenic precursors have a more important effect on PM(2.5) concentrations at the national or regional annual scale. The results can help to strengthen our understanding of PM(2.5) pollution, improve PM(2.5) forecasting models, and formulate more precise government control policy. |
format | Online Article Text |
id | pubmed-8535752 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85357522021-10-23 Effects of Anthropogenic Emissions from Different Sectors on PM(2.5) Concentrations in Chinese Cities Yang, Jie Liu, Pengfei Song, Hongquan Miao, Changhong Wang, Feng Xing, Yu Wang, Wenjie Liu, Xinyu Zhao, Mengxin Int J Environ Res Public Health Article PM(2.5) pollution has gradually attracted people’s attention due to its important negative impact on public health in recent years. The influence of anthropogenic emission factors on PM(2.5) concentrations is more complicated, but their relative individual impact on different emission sectors remains unclear. With the aid of the geographic detector model (GeoDetector), this study evaluated the impacts of anthropogenic emissions from different sectors on the PM(2.5) concentrations of major cities in China. The results indicated that the influence of anthropogenic emissions factors with different emission sectors on PM(2.5) concentrations exhibited significant changes at different spatial and temporal scales. Residential emissions were the dominant driver at the national annual scale, and the NO(X) of residential emissions explained 20% (q = 0.2) of the PM(2.5) concentrations. In addition, residential emissions played the leading role at the regional annual scale and during most of the seasons in northern China, and ammonia emissions from residents were the dominant factor. Traffic emissions play a leading role in the four seasons for MUYR and EC in southern China, MYR and NC in northern China, and on a national scale. Compared with primary particulate matter, secondary anthropogenic precursors have a more important effect on PM(2.5) concentrations at the national or regional annual scale. The results can help to strengthen our understanding of PM(2.5) pollution, improve PM(2.5) forecasting models, and formulate more precise government control policy. MDPI 2021-10-15 /pmc/articles/PMC8535752/ /pubmed/34682613 http://dx.doi.org/10.3390/ijerph182010869 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yang, Jie Liu, Pengfei Song, Hongquan Miao, Changhong Wang, Feng Xing, Yu Wang, Wenjie Liu, Xinyu Zhao, Mengxin Effects of Anthropogenic Emissions from Different Sectors on PM(2.5) Concentrations in Chinese Cities |
title | Effects of Anthropogenic Emissions from Different Sectors on PM(2.5) Concentrations in Chinese Cities |
title_full | Effects of Anthropogenic Emissions from Different Sectors on PM(2.5) Concentrations in Chinese Cities |
title_fullStr | Effects of Anthropogenic Emissions from Different Sectors on PM(2.5) Concentrations in Chinese Cities |
title_full_unstemmed | Effects of Anthropogenic Emissions from Different Sectors on PM(2.5) Concentrations in Chinese Cities |
title_short | Effects of Anthropogenic Emissions from Different Sectors on PM(2.5) Concentrations in Chinese Cities |
title_sort | effects of anthropogenic emissions from different sectors on pm(2.5) concentrations in chinese cities |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535752/ https://www.ncbi.nlm.nih.gov/pubmed/34682613 http://dx.doi.org/10.3390/ijerph182010869 |
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