Literature DB >> 32402983

Changes in spatial patterns of PM2.5 pollution in China 2000-2018: Impact of clean air policies.

Qingyang Xiao1, Guannan Geng2, Fengchao Liang3, Xin Wang4, Zhuo Lv4, Yu Lei5, Xiaomeng Huang6, Qiang Zhang6, Yang Liu7, Kebin He1.   

Abstract

To improve air quality, China has been implementing strict clean air policies since 2013. These policies not only substantially improved air quality but may also modify the spatial distribution of air pollution, since urban emission sources were under stricter control and some were moved to rural regions with lower air quality improvement targets and lacking of monitoring. Here, we predicted satellite-based monthly PM2.5 concentrations during 2000-2018 at a 1-km resolution with complete spatial-temporal coverage to analyze changes in the spatial pattern of PM2.5 pollution in China. We found that the PM2.5 concentration in urban regions was higher than that in rural regions of the same city by an average of 3.3 μg/m3 during 2000-2018. This urban-rural disparity in PM2.5 concentration significantly increased from 2.5 μg/m3 in 2000 and peaked in 2007 of 3.8 μg/m3, then it sharply declined by 49% during 2013-2018 with the implementation of clean air policies. This shrinkage in the urban-rural PM2.5 gap was partly due to the 1.3 μg/m3 greater average decrease in the PM2.5 level in the urban region than in the rural region of the same town during 2013-2018 on average. We also observed that cities that started monitoring earlier experienced greater decreases in the urban-rural PM2.5 difference, and regions surrounding monitor showed significantly greater PM2.5 decrease than regions far away from monitor during 2013-2018. Additionally, clean air policies modified the relationship between PM2.5 concentrations and per capita gross domestic product (GDP), leading to a lower PM2.5 level with the same per capita GDP after 2013. Emissions in rural and suburban regions should be considered to further improve air quality in China.
Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.

Keywords:  Clean air policy; PM(2.5); Satellite data; Urban-rural inequality

Mesh:

Substances:

Year:  2020        PMID: 32402983     DOI: 10.1016/j.envint.2020.105776

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  5 in total

1.  Spatiotemporal Distribution of Continuous Air Pollution and Its Relationship with Socioeconomic and Natural Factors in China.

Authors:  Dongsheng Zhan; Qianyun Zhang; Xiaoren Xu; Chunshui Zeng
Journal:  Int J Environ Res Public Health       Date:  2022-05-29       Impact factor: 4.614

2.  Increasing collaboration between China and India in the environmental sciences to foster global sustainability.

Authors:  Eben Goodale; Christos Mammides; Wambura Mtemi; You-Fang Chen; Ranjit Barthakur; Uromi Manage Goodale; Aiwu Jiang; Jianguo Liu; Saurav Malhotra; Madhava Meegaskumbura; Maharaj K Pandit; Guangle Qiu; Jianchu Xu; Kun-Fang Cao; Kamaljit S Bawa
Journal:  Ambio       Date:  2021-12-28       Impact factor: 5.129

3.  Satellite-Based Long-Term Spatiotemporal Patterns of Surface Ozone Concentrations in China: 2005-2019.

Authors:  Qingyang Zhu; Jianzhao Bi; Xiong Liu; Shenshen Li; Wenhao Wang; Yu Zhao; Yang Liu
Journal:  Environ Health Perspect       Date:  2022-02-09       Impact factor: 9.031

4.  Examining the Potential Scaling Law in Urban PM2.5 Pollution Risks along with the Nationwide Air Environmental Effort in China.

Authors:  Lei Yao; Wentian Xu; Ying Xu; Shuo Sun
Journal:  Int J Environ Res Public Health       Date:  2022-04-07       Impact factor: 4.614

5.  How Did Distribution Patterns of Particulate Matter Air Pollution (PM2.5 and PM10) Change in China during the COVID-19 Outbreak: A Spatiotemporal Investigation at Chinese City-Level.

Authors:  Zhiyu Fan; Qingming Zhan; Chen Yang; Huimin Liu; Meng Zhan
Journal:  Int J Environ Res Public Health       Date:  2020-08-28       Impact factor: 3.390

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.