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Article: Applying land use regression model to estimate spatial variation of PM2.5 in Beijing, China

TitleApplying land use regression model to estimate spatial variation of PM2.5 in Beijing, China
Authors
Wu, JLi, JPeng, JLi, WXu, GDong, C
KeywordsAir pollution
Beijing
Fine particulate matter
Land use regression
Outdoor exposure
PM2.5
Spatiotemporal variation
Issue Date2014
Citation
Environmental Science and Pollution Research, 2014, v. 22, p. 7045-7061 How to Cite?
DOI: http://dx.doi.org/10.1007/s11356-014-3893-5
Persistent Identifierhttp://hdl.handle.net/10722/212321
ISSN
0944-1344
2022 Impact Factor: 5.8
2023 SCImago Journal Rankings: 1.006
ISI Accession Number ID
WOS:000353046600062

 

DC FieldValueLanguage
dc.contributor.authorWu, J-
dc.contributor.authorLi, J-
dc.contributor.authorPeng, J-
dc.contributor.authorLi, W-
dc.contributor.authorXu, G-
dc.contributor.authorDong, C-
dc.date.accessioned2015-07-21T02:32:27Z-
dc.date.available2015-07-21T02:32:27Z-
dc.date.issued2014-
dc.identifier.citationEnvironmental Science and Pollution Research, 2014, v. 22, p. 7045-7061-
dc.identifier.issn0944-1344-
dc.identifier.urihttp://hdl.handle.net/10722/212321-
dc.languageeng-
dc.relation.ispartofEnvironmental Science and Pollution Research-
dc.subjectAir pollution-
dc.subjectBeijing-
dc.subjectFine particulate matter-
dc.subjectLand use regression-
dc.subjectOutdoor exposure-
dc.subjectPM2.5-
dc.subjectSpatiotemporal variation-
dc.titleApplying land use regression model to estimate spatial variation of PM2.5 in Beijing, China-
dc.typeArticle-
dc.identifier.emailLi, W: wfli@hku.hk-
dc.identifier.authorityLi, W=rp01507-
dc.identifier.doi10.1007/s11356-014-3893-5-
dc.identifier.scopuseid_2-s2.0-84937554140-
dc.identifier.hkuros244942-
dc.identifier.volume22-
dc.identifier.spage7045-
dc.identifier.epage7061-
dc.identifier.eissn1614-7499-
dc.identifier.isiWOS:000353046600062-
dc.identifier.issnl0944-1344-

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