Evaluation of emissions and air quality in megacities
Several concepts and indicators exist to measure and rank urban areas in terms of their socio-economic, infrastructural, and environment-related parameters. The World Bank regularly publishes the World Development Indicators (WDI), and the United Nations reports the City Development Index (CDI) and...
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Veröffentlicht in: | Atmospheric environment (1994) 2008-03, Vol.42 (7), p.1593-1606 |
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container_title | Atmospheric environment (1994) |
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creator | Gurjar, B.R. Butler, T.M. Lawrence, M.G. Lelieveld, J. |
description | Several concepts and indicators exist to measure and rank urban areas in terms of their socio-economic, infrastructural, and environment-related parameters. The World Bank regularly publishes the World Development Indicators (WDI), and the United Nations reports the City Development Index (CDI) and also ranks megacities on the basis of their population size. Here, we evaluate and rank megacities in terms of their trace gas and particle emissions and ambient air quality. Besides ranking the megacities according to their surface area and population density, we evaluate them based on carbon monoxide (CO) emissions per capita, per year, and per unit surface area. Further, we rank the megacities according to ambient atmospheric concentrations of criteria pollutants, notably total suspended particles (TSP), sulfur dioxide (SO
2), and nitrogen dioxide (NO
2). We propose a multi-pollutant index (MPI) considering the combined level of the three criteria pollutants (i.e., TSP, SO
2, and NO
2) in view of the World Health Organization (WHO) Guidelines for Air Quality. Of 18 megacities considered here 5 classify as having “fair” air quality, and 13 as “poor”. The megacities with the highest MPI, Dhaka, Beijing, Cairo, and Karachi, most urgently need reduction of air pollution. |
doi_str_mv | 10.1016/j.atmosenv.2007.10.048 |
format | Article |
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2), and nitrogen dioxide (NO
2). We propose a multi-pollutant index (MPI) considering the combined level of the three criteria pollutants (i.e., TSP, SO
2, and NO
2) in view of the World Health Organization (WHO) Guidelines for Air Quality. Of 18 megacities considered here 5 classify as having “fair” air quality, and 13 as “poor”. The megacities with the highest MPI, Dhaka, Beijing, Cairo, and Karachi, most urgently need reduction of air pollution.</description><identifier>ISSN: 1352-2310</identifier><identifier>EISSN: 1873-2844</identifier><identifier>DOI: 10.1016/j.atmosenv.2007.10.048</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Air quality index ; Analysis methods ; Applied sciences ; Atmospheric pollution ; Emissions ; Environmental Kuznets curve ; Exact sciences and technology ; Megacity ; Pollution ; Urban air pollution</subject><ispartof>Atmospheric environment (1994), 2008-03, Vol.42 (7), p.1593-1606</ispartof><rights>2007 Elsevier Ltd</rights><rights>2008 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c404t-b79f5f4bf83cce9c9498272d72dd65b7ff0cba222defca4d18ef8811faf5b74d3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.atmosenv.2007.10.048$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20143383$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Gurjar, B.R.</creatorcontrib><creatorcontrib>Butler, T.M.</creatorcontrib><creatorcontrib>Lawrence, M.G.</creatorcontrib><creatorcontrib>Lelieveld, J.</creatorcontrib><title>Evaluation of emissions and air quality in megacities</title><title>Atmospheric environment (1994)</title><description>Several concepts and indicators exist to measure and rank urban areas in terms of their socio-economic, infrastructural, and environment-related parameters. The World Bank regularly publishes the World Development Indicators (WDI), and the United Nations reports the City Development Index (CDI) and also ranks megacities on the basis of their population size. Here, we evaluate and rank megacities in terms of their trace gas and particle emissions and ambient air quality. Besides ranking the megacities according to their surface area and population density, we evaluate them based on carbon monoxide (CO) emissions per capita, per year, and per unit surface area. Further, we rank the megacities according to ambient atmospheric concentrations of criteria pollutants, notably total suspended particles (TSP), sulfur dioxide (SO
2), and nitrogen dioxide (NO
2). We propose a multi-pollutant index (MPI) considering the combined level of the three criteria pollutants (i.e., TSP, SO
2, and NO
2) in view of the World Health Organization (WHO) Guidelines for Air Quality. Of 18 megacities considered here 5 classify as having “fair” air quality, and 13 as “poor”. The megacities with the highest MPI, Dhaka, Beijing, Cairo, and Karachi, most urgently need reduction of air pollution.</description><subject>Air quality index</subject><subject>Analysis methods</subject><subject>Applied sciences</subject><subject>Atmospheric pollution</subject><subject>Emissions</subject><subject>Environmental Kuznets curve</subject><subject>Exact sciences and technology</subject><subject>Megacity</subject><subject>Pollution</subject><subject>Urban air pollution</subject><issn>1352-2310</issn><issn>1873-2844</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNqFkEtrwzAMgM3YYF23vzBy2W7J_Eri3DZK94DCLtvZKI48XPJo7aTQfz-XdrsWBBLyJ8l8hNwzmjHKiqd1BmM3BOx3Gae0jM2MSnVBZkyVIuVKystYi5ynXDB6TW5CWFNKRVmVM5Ivd9BOMLqhTwabYOdCiHVIoG8ScD7ZTtC6cZ-4PunwB4wbHYZbcmWhDXh3ynPy_br8Wrynq8-3j8XLKjWSyjGty8rmVtZWCWOwMpWsFC95E6Mp8rq0lpoaOOcNWgOyYQqtUoxZsPFVNmJOHo97N37YThhGHf9nsG2hx2EKmtNCKar4WZBJlVeVUBEsjqDxQwgerd5414Hfa0b1Qade6z-d-qDz0I864-DD6QIEA6310BsX_qc5ZVLE_ZF7PnIYvewceh2Mw95g4zyaUTeDO3fqFwePj4g</recordid><startdate>20080301</startdate><enddate>20080301</enddate><creator>Gurjar, B.R.</creator><creator>Butler, T.M.</creator><creator>Lawrence, M.G.</creator><creator>Lelieveld, J.</creator><general>Elsevier Ltd</general><general>Elsevier Science</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope><scope>7TG</scope><scope>7TV</scope><scope>KL.</scope></search><sort><creationdate>20080301</creationdate><title>Evaluation of emissions and air quality in megacities</title><author>Gurjar, B.R. ; Butler, T.M. ; Lawrence, M.G. ; Lelieveld, J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c404t-b79f5f4bf83cce9c9498272d72dd65b7ff0cba222defca4d18ef8811faf5b74d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Air quality index</topic><topic>Analysis methods</topic><topic>Applied sciences</topic><topic>Atmospheric pollution</topic><topic>Emissions</topic><topic>Environmental Kuznets curve</topic><topic>Exact sciences and technology</topic><topic>Megacity</topic><topic>Pollution</topic><topic>Urban air pollution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gurjar, B.R.</creatorcontrib><creatorcontrib>Butler, T.M.</creatorcontrib><creatorcontrib>Lawrence, M.G.</creatorcontrib><creatorcontrib>Lelieveld, J.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Pollution Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><jtitle>Atmospheric environment (1994)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gurjar, B.R.</au><au>Butler, T.M.</au><au>Lawrence, M.G.</au><au>Lelieveld, J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of emissions and air quality in megacities</atitle><jtitle>Atmospheric environment (1994)</jtitle><date>2008-03-01</date><risdate>2008</risdate><volume>42</volume><issue>7</issue><spage>1593</spage><epage>1606</epage><pages>1593-1606</pages><issn>1352-2310</issn><eissn>1873-2844</eissn><abstract>Several concepts and indicators exist to measure and rank urban areas in terms of their socio-economic, infrastructural, and environment-related parameters. The World Bank regularly publishes the World Development Indicators (WDI), and the United Nations reports the City Development Index (CDI) and also ranks megacities on the basis of their population size. Here, we evaluate and rank megacities in terms of their trace gas and particle emissions and ambient air quality. Besides ranking the megacities according to their surface area and population density, we evaluate them based on carbon monoxide (CO) emissions per capita, per year, and per unit surface area. Further, we rank the megacities according to ambient atmospheric concentrations of criteria pollutants, notably total suspended particles (TSP), sulfur dioxide (SO
2), and nitrogen dioxide (NO
2). We propose a multi-pollutant index (MPI) considering the combined level of the three criteria pollutants (i.e., TSP, SO
2, and NO
2) in view of the World Health Organization (WHO) Guidelines for Air Quality. Of 18 megacities considered here 5 classify as having “fair” air quality, and 13 as “poor”. The megacities with the highest MPI, Dhaka, Beijing, Cairo, and Karachi, most urgently need reduction of air pollution.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.atmosenv.2007.10.048</doi><tpages>14</tpages></addata></record> |
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subjects | Air quality index Analysis methods Applied sciences Atmospheric pollution Emissions Environmental Kuznets curve Exact sciences and technology Megacity Pollution Urban air pollution |
title | Evaluation of emissions and air quality in megacities |
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