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Article: Dynamic assessment of PM2.5 exposure and health risk using remote sensing and geo-spatial big data

TitleDynamic assessment of PM<inf>2.5</inf> exposure and health risk using remote sensing and geo-spatial big data
Authors
Song, YimengHuang, BoHe, QingqingChen, BinWei, JingMahmood, Rashed
KeywordsBig data
Human mobility
Remote sensing
Spatiotemporal heterogeneity
Environmental health
Issue Date2019
Citation
Environmental Pollution, 2019, v. 253, p. 288-296 How to Cite?
DOI: http://dx.doi.org/10.1016/j.envpol.2019.06.057
AbstractAn improved PM exposure assessment method is developed using satellite-ground-integrated PM concentrations and LBS-based dynamic population maps. 2.5 2.5
Persistent Identifierhttp://hdl.handle.net/10722/299592
ISSN
0269-7491
2023 Impact Factor: 7.6
2023 SCImago Journal Rankings: 2.132
ISI Accession Number ID
WOS:000483406700030

 

DC FieldValueLanguage
dc.contributor.authorSong, Yimeng-
dc.contributor.authorHuang, Bo-
dc.contributor.authorHe, Qingqing-
dc.contributor.authorChen, Bin-
dc.contributor.authorWei, Jing-
dc.contributor.authorMahmood, Rashed-
dc.date.accessioned2021-05-21T03:34:44Z-
dc.date.available2021-05-21T03:34:44Z-
dc.date.issued2019-
dc.identifier.citationEnvironmental Pollution, 2019, v. 253, p. 288-296-
dc.identifier.issn0269-7491-
dc.identifier.urihttp://hdl.handle.net/10722/299592-
dc.description.abstractAn improved PM exposure assessment method is developed using satellite-ground-integrated PM concentrations and LBS-based dynamic population maps. 2.5 2.5-
dc.languageeng-
dc.relation.ispartofEnvironmental Pollution-
dc.subjectBig data-
dc.subjectHuman mobility-
dc.subjectRemote sensing-
dc.subjectSpatiotemporal heterogeneity-
dc.subjectEnvironmental health-
dc.titleDynamic assessment of PM<inf>2.5</inf> exposure and health risk using remote sensing and geo-spatial big data-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.envpol.2019.06.057-
dc.identifier.pmid31323611-
dc.identifier.scopuseid_2-s2.0-85068931565-
dc.identifier.volume253-
dc.identifier.spage288-
dc.identifier.epage296-
dc.identifier.eissn1873-6424-
dc.identifier.isiWOS:000483406700030-

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