Difference in PM2.5 Variations between Urban and Rural Areas over Eastern China from 2001 to 2015

To more effectively reduce population exposure to PM2.5, control efforts should target densely populated urban areas. In this study, we took advantage of satellite-derived PM2.5 data to assess the difference in PM2.5 variations between urban and rural areas over eastern China during the past three F...

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Main Authors: Changqing Lin, Alexis K. H. Lau, Ying Li, Jimmy C. H. Fung, Chengcai Li, Xingcheng Lu, Zhiyuan Li
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Atmosphere
Subjects:
Online Access:http://www.mdpi.com/2073-4433/9/8/312
id doaj-art-94153633045a4777a06b978f93b7df0f
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spelling doaj-art-94153633045a4777a06b978f93b7df0f2018-08-22T08:13:54ZengMDPI AGAtmosphere2073-44332018-08-019831210.3390/atmos9080312atmos9080312Difference in PM2.5 Variations between Urban and Rural Areas over Eastern China from 2001 to 2015Changqing Lin0Alexis K. H. Lau1Ying Li2Jimmy C. H. Fung3Chengcai Li4Xingcheng Lu5Zhiyuan Li6Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, ChinaDepartment of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, ChinaDepartment of Ocean Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, ChinaDivision of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, ChinaDepartment of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, ChinaDivision of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, ChinaDivision of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, ChinaTo more effectively reduce population exposure to PM2.5, control efforts should target densely populated urban areas. In this study, we took advantage of satellite-derived PM2.5 data to assess the difference in PM2.5 variations between urban and rural areas over eastern China during the past three Five-Year Plan (FYP) periods (2001–2015). The results show that urban areas experienced less of a decline in PM2.5 concentration than rural areas did in more than half of the provinces during the 11th FYP period (2006–2010). In contrast, most provinces experienced a greater reduction of PM2.5 concentration in urban areas than in rural areas during the 10th and 12th FYP periods (2001–2005 and 2011–2015, respectively). During the recent 12th FYP period, the rates of decline in PM2.5 concentration in urban areas were more substantial than in rural areas by as much as 1.5 μg·m−3·year−1 in Beijing and 2.0 μg·m−3·year−1 in Tianjin. These results suggest that the spatial difference in PM2.5 change was conducive to a reduction in the population exposure to PM2.5 in most provinces during recent years.http://www.mdpi.com/2073-4433/9/8/312PM2.5Chinaurbanruralexposure
institution Open Data Bank
collection Open Access Journals
building Directory of Open Access Journals
language English
format Article
author Changqing Lin
Alexis K. H. Lau
Ying Li
Jimmy C. H. Fung
Chengcai Li
Xingcheng Lu
Zhiyuan Li
spellingShingle Changqing Lin
Alexis K. H. Lau
Ying Li
Jimmy C. H. Fung
Chengcai Li
Xingcheng Lu
Zhiyuan Li
Difference in PM2.5 Variations between Urban and Rural Areas over Eastern China from 2001 to 2015
Atmosphere
PM2.5
China
urban
rural
exposure
author_facet Changqing Lin
Alexis K. H. Lau
Ying Li
Jimmy C. H. Fung
Chengcai Li
Xingcheng Lu
Zhiyuan Li
author_sort Changqing Lin
title Difference in PM2.5 Variations between Urban and Rural Areas over Eastern China from 2001 to 2015
title_short Difference in PM2.5 Variations between Urban and Rural Areas over Eastern China from 2001 to 2015
title_full Difference in PM2.5 Variations between Urban and Rural Areas over Eastern China from 2001 to 2015
title_fullStr Difference in PM2.5 Variations between Urban and Rural Areas over Eastern China from 2001 to 2015
title_full_unstemmed Difference in PM2.5 Variations between Urban and Rural Areas over Eastern China from 2001 to 2015
title_sort difference in pm2.5 variations between urban and rural areas over eastern china from 2001 to 2015
publisher MDPI AG
series Atmosphere
issn 2073-4433
publishDate 2018-08-01
description To more effectively reduce population exposure to PM2.5, control efforts should target densely populated urban areas. In this study, we took advantage of satellite-derived PM2.5 data to assess the difference in PM2.5 variations between urban and rural areas over eastern China during the past three Five-Year Plan (FYP) periods (2001–2015). The results show that urban areas experienced less of a decline in PM2.5 concentration than rural areas did in more than half of the provinces during the 11th FYP period (2006–2010). In contrast, most provinces experienced a greater reduction of PM2.5 concentration in urban areas than in rural areas during the 10th and 12th FYP periods (2001–2005 and 2011–2015, respectively). During the recent 12th FYP period, the rates of decline in PM2.5 concentration in urban areas were more substantial than in rural areas by as much as 1.5 μg·m−3·year−1 in Beijing and 2.0 μg·m−3·year−1 in Tianjin. These results suggest that the spatial difference in PM2.5 change was conducive to a reduction in the population exposure to PM2.5 in most provinces during recent years.
topic PM2.5
China
urban
rural
exposure
url http://www.mdpi.com/2073-4433/9/8/312
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