A new approach to evaluate regional inequity determined by PM 2.5 emissions and concentrations
PM is one of the most severe types of air pollution that threatens human health. Its emissions have a notable spillover effect once released into the atmosphere and transported. In domestic trade, PM emissions can be indirectly imported from external regions. Thus, regional inequity caused by PM nee...
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Veröffentlicht in: | Journal of environmental management 2021-01, Vol.277, p.111335 |
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creator | Chuai, Xiaowei Lu, Yue Xie, Fangjian Yang, Feng Zhao, Rongqin Pang, Baoxin |
description | PM
is one of the most severe types of air pollution that threatens human health. Its emissions have a notable spillover effect once released into the atmosphere and transported. In domestic trade, PM
emissions can be indirectly imported from external regions. Thus, regional inequity caused by PM
needs to be integrated and comprehensively estimated. Based on PM
emissions/concentrations grid maps and an input-output model, this study first examined the temporal-spatial changes in PM
emissions/concentrations across China. Additionally, a detailed relationship between PM
emissions and concentrations was examined at multiple scales, both temporal and spatial. Finally, this study developed a new approach with which to evaluate regional inequity. The results show that PM
emissions and concentrations increased between 1990 and 2012 and 1998 and 2016, respectively; the increase was more obvious for PM
emissions. Spatially, a rapid increase in PM
emissions was observed in the North China Plain and the Sichuan Basin. Between 1998 and 2012, the distribution of PM
concentrations was similar to that of emissions; however, between 2013 and 2016, 46.6% of the total area showed a decrease, mainly in the central and southern parts of China. Relationship analysis revealed that PM
emissions and concentrations are closely correlated in both time and space. There was obvious regional inequity among provinces; developed regions always imported considerably more PM
emissions from undeveloped regions than they exported. Overall, the regional inequity estimation framework shows that provinces along the coastline, especially developed provinces, have advantages under the regional inequity estimation framework, while most of the inland regions have disadvantages, especially in the west and north. |
format | Article |
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is one of the most severe types of air pollution that threatens human health. Its emissions have a notable spillover effect once released into the atmosphere and transported. In domestic trade, PM
emissions can be indirectly imported from external regions. Thus, regional inequity caused by PM
needs to be integrated and comprehensively estimated. Based on PM
emissions/concentrations grid maps and an input-output model, this study first examined the temporal-spatial changes in PM
emissions/concentrations across China. Additionally, a detailed relationship between PM
emissions and concentrations was examined at multiple scales, both temporal and spatial. Finally, this study developed a new approach with which to evaluate regional inequity. The results show that PM
emissions and concentrations increased between 1990 and 2012 and 1998 and 2016, respectively; the increase was more obvious for PM
emissions. Spatially, a rapid increase in PM
emissions was observed in the North China Plain and the Sichuan Basin. Between 1998 and 2012, the distribution of PM
concentrations was similar to that of emissions; however, between 2013 and 2016, 46.6% of the total area showed a decrease, mainly in the central and southern parts of China. Relationship analysis revealed that PM
emissions and concentrations are closely correlated in both time and space. There was obvious regional inequity among provinces; developed regions always imported considerably more PM
emissions from undeveloped regions than they exported. Overall, the regional inequity estimation framework shows that provinces along the coastline, especially developed provinces, have advantages under the regional inequity estimation framework, while most of the inland regions have disadvantages, especially in the west and north.</description><identifier>EISSN: 1095-8630</identifier><identifier>PMID: 32977173</identifier><language>eng</language><publisher>England</publisher><subject>Air Pollutants - analysis ; Air Pollution - analysis ; China ; Environmental Monitoring ; Humans ; Particulate Matter - analysis</subject><ispartof>Journal of environmental management, 2021-01, Vol.277, p.111335</ispartof><rights>Copyright © 2020 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32977173$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chuai, Xiaowei</creatorcontrib><creatorcontrib>Lu, Yue</creatorcontrib><creatorcontrib>Xie, Fangjian</creatorcontrib><creatorcontrib>Yang, Feng</creatorcontrib><creatorcontrib>Zhao, Rongqin</creatorcontrib><creatorcontrib>Pang, Baoxin</creatorcontrib><title>A new approach to evaluate regional inequity determined by PM 2.5 emissions and concentrations</title><title>Journal of environmental management</title><addtitle>J Environ Manage</addtitle><description>PM
is one of the most severe types of air pollution that threatens human health. Its emissions have a notable spillover effect once released into the atmosphere and transported. In domestic trade, PM
emissions can be indirectly imported from external regions. Thus, regional inequity caused by PM
needs to be integrated and comprehensively estimated. Based on PM
emissions/concentrations grid maps and an input-output model, this study first examined the temporal-spatial changes in PM
emissions/concentrations across China. Additionally, a detailed relationship between PM
emissions and concentrations was examined at multiple scales, both temporal and spatial. Finally, this study developed a new approach with which to evaluate regional inequity. The results show that PM
emissions and concentrations increased between 1990 and 2012 and 1998 and 2016, respectively; the increase was more obvious for PM
emissions. Spatially, a rapid increase in PM
emissions was observed in the North China Plain and the Sichuan Basin. Between 1998 and 2012, the distribution of PM
concentrations was similar to that of emissions; however, between 2013 and 2016, 46.6% of the total area showed a decrease, mainly in the central and southern parts of China. Relationship analysis revealed that PM
emissions and concentrations are closely correlated in both time and space. There was obvious regional inequity among provinces; developed regions always imported considerably more PM
emissions from undeveloped regions than they exported. Overall, the regional inequity estimation framework shows that provinces along the coastline, especially developed provinces, have advantages under the regional inequity estimation framework, while most of the inland regions have disadvantages, especially in the west and north.</description><subject>Air Pollutants - analysis</subject><subject>Air Pollution - analysis</subject><subject>China</subject><subject>Environmental Monitoring</subject><subject>Humans</subject><subject>Particulate Matter - analysis</subject><issn>1095-8630</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFjs0KgkAURocg0n5eIe4LGKODmcuIok3QonVy1VtN6DjNjIVvn0GtW32cw1l8A-aHPI2D1VJwj42tvXPORRQmI-aJKE2SMBE-O69B0QtQa9NgcQPXAD2xatERGLrKRmEFUtGjla6DkhyZuscS8g6OB4gWMVAtre1DC6hKKBpVkHIG3UdN2fCClaXZdydsvtueNvtAt3lNZaaNrNF02e-Q-Bu8AVa2QUE</recordid><startdate>20210101</startdate><enddate>20210101</enddate><creator>Chuai, Xiaowei</creator><creator>Lu, Yue</creator><creator>Xie, Fangjian</creator><creator>Yang, Feng</creator><creator>Zhao, Rongqin</creator><creator>Pang, Baoxin</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope></search><sort><creationdate>20210101</creationdate><title>A new approach to evaluate regional inequity determined by PM 2.5 emissions and concentrations</title><author>Chuai, Xiaowei ; Lu, Yue ; Xie, Fangjian ; Yang, Feng ; Zhao, Rongqin ; Pang, Baoxin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-pubmed_primary_329771733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Air Pollutants - analysis</topic><topic>Air Pollution - analysis</topic><topic>China</topic><topic>Environmental Monitoring</topic><topic>Humans</topic><topic>Particulate Matter - analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chuai, Xiaowei</creatorcontrib><creatorcontrib>Lu, Yue</creatorcontrib><creatorcontrib>Xie, Fangjian</creatorcontrib><creatorcontrib>Yang, Feng</creatorcontrib><creatorcontrib>Zhao, Rongqin</creatorcontrib><creatorcontrib>Pang, Baoxin</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><jtitle>Journal of environmental management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chuai, Xiaowei</au><au>Lu, Yue</au><au>Xie, Fangjian</au><au>Yang, Feng</au><au>Zhao, Rongqin</au><au>Pang, Baoxin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A new approach to evaluate regional inequity determined by PM 2.5 emissions and concentrations</atitle><jtitle>Journal of environmental management</jtitle><addtitle>J Environ Manage</addtitle><date>2021-01-01</date><risdate>2021</risdate><volume>277</volume><spage>111335</spage><pages>111335-</pages><eissn>1095-8630</eissn><abstract>PM
is one of the most severe types of air pollution that threatens human health. Its emissions have a notable spillover effect once released into the atmosphere and transported. In domestic trade, PM
emissions can be indirectly imported from external regions. Thus, regional inequity caused by PM
needs to be integrated and comprehensively estimated. Based on PM
emissions/concentrations grid maps and an input-output model, this study first examined the temporal-spatial changes in PM
emissions/concentrations across China. Additionally, a detailed relationship between PM
emissions and concentrations was examined at multiple scales, both temporal and spatial. Finally, this study developed a new approach with which to evaluate regional inequity. The results show that PM
emissions and concentrations increased between 1990 and 2012 and 1998 and 2016, respectively; the increase was more obvious for PM
emissions. Spatially, a rapid increase in PM
emissions was observed in the North China Plain and the Sichuan Basin. Between 1998 and 2012, the distribution of PM
concentrations was similar to that of emissions; however, between 2013 and 2016, 46.6% of the total area showed a decrease, mainly in the central and southern parts of China. Relationship analysis revealed that PM
emissions and concentrations are closely correlated in both time and space. There was obvious regional inequity among provinces; developed regions always imported considerably more PM
emissions from undeveloped regions than they exported. Overall, the regional inequity estimation framework shows that provinces along the coastline, especially developed provinces, have advantages under the regional inequity estimation framework, while most of the inland regions have disadvantages, especially in the west and north.</abstract><cop>England</cop><pmid>32977173</pmid></addata></record> |
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language | eng |
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source | MEDLINE; Elsevier ScienceDirect Journals Complete |
subjects | Air Pollutants - analysis Air Pollution - analysis China Environmental Monitoring Humans Particulate Matter - analysis |
title | A new approach to evaluate regional inequity determined by PM 2.5 emissions and concentrations |
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