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Spatial and temporal variations of air quality and six air pollutants in China during 2015–2017
Air pollution has aroused significant public concern in China, therefore, long-term air-quality data with high temporal and spatial resolution are needed to understand the variations of air pollution in China. However, the yearly variations with high spatial resolution of air quality and six air pol...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811589/ https://www.ncbi.nlm.nih.gov/pubmed/31645580 http://dx.doi.org/10.1038/s41598-019-50655-6 |
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author | Guo, Hong Gu, Xingfa Ma, Guoxia Shi, Shuaiyi Wang, Wannan Zuo, Xin Zhang, Xiaochuan |
author_facet | Guo, Hong Gu, Xingfa Ma, Guoxia Shi, Shuaiyi Wang, Wannan Zuo, Xin Zhang, Xiaochuan |
author_sort | Guo, Hong |
collection | PubMed |
description | Air pollution has aroused significant public concern in China, therefore, long-term air-quality data with high temporal and spatial resolution are needed to understand the variations of air pollution in China. However, the yearly variations with high spatial resolution of air quality and six air pollutants are still unknown for China until now. Therefore, in this paper, we analyze the spatial and temporal variations of air quality and six air pollutants in 366 cities across mainland China during 2015–2017 for the first time to the best of our knowledge. The results indicate that the annual mean mass concentrations of PM2.5, PM10, SO(2), and CO all decreased year by year during 2015–2017. However, the annual mean NO(2) concentrations were almost unchanged, while the annual mean O(3) concentrations increased year by year. Anthropogenic factors were mainly responsible for the variations of air quality. Further analysis suggested that PM2.5 and PM10 were the main factors influencing air quality, while NO(2) played an important role in the formation of PM2.5 and O(3). These findings can provide a theoretical basis for the formulation of future air-pollution control policy in China. |
format | Online Article Text |
id | pubmed-6811589 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68115892019-10-25 Spatial and temporal variations of air quality and six air pollutants in China during 2015–2017 Guo, Hong Gu, Xingfa Ma, Guoxia Shi, Shuaiyi Wang, Wannan Zuo, Xin Zhang, Xiaochuan Sci Rep Article Air pollution has aroused significant public concern in China, therefore, long-term air-quality data with high temporal and spatial resolution are needed to understand the variations of air pollution in China. However, the yearly variations with high spatial resolution of air quality and six air pollutants are still unknown for China until now. Therefore, in this paper, we analyze the spatial and temporal variations of air quality and six air pollutants in 366 cities across mainland China during 2015–2017 for the first time to the best of our knowledge. The results indicate that the annual mean mass concentrations of PM2.5, PM10, SO(2), and CO all decreased year by year during 2015–2017. However, the annual mean NO(2) concentrations were almost unchanged, while the annual mean O(3) concentrations increased year by year. Anthropogenic factors were mainly responsible for the variations of air quality. Further analysis suggested that PM2.5 and PM10 were the main factors influencing air quality, while NO(2) played an important role in the formation of PM2.5 and O(3). These findings can provide a theoretical basis for the formulation of future air-pollution control policy in China. Nature Publishing Group UK 2019-10-23 /pmc/articles/PMC6811589/ /pubmed/31645580 http://dx.doi.org/10.1038/s41598-019-50655-6 Text en © The Author(s) 2019 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 Guo, Hong Gu, Xingfa Ma, Guoxia Shi, Shuaiyi Wang, Wannan Zuo, Xin Zhang, Xiaochuan Spatial and temporal variations of air quality and six air pollutants in China during 2015–2017 |
title | Spatial and temporal variations of air quality and six air pollutants in China during 2015–2017 |
title_full | Spatial and temporal variations of air quality and six air pollutants in China during 2015–2017 |
title_fullStr | Spatial and temporal variations of air quality and six air pollutants in China during 2015–2017 |
title_full_unstemmed | Spatial and temporal variations of air quality and six air pollutants in China during 2015–2017 |
title_short | Spatial and temporal variations of air quality and six air pollutants in China during 2015–2017 |
title_sort | spatial and temporal variations of air quality and six air pollutants in china during 2015–2017 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6811589/ https://www.ncbi.nlm.nih.gov/pubmed/31645580 http://dx.doi.org/10.1038/s41598-019-50655-6 |
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