File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

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
KeywordsBig data
Human mobility
Remote sensing
Spatiotemporal heterogeneity
Environmental health
Issue Date2019
Citation
Environmental Pollution, 2019, v. 253, p. 288-296 How to Cite?
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
2020 Impact Factor: 8.071
2020 SCImago Journal Rankings: 2.136
ISI Accession Number ID

 

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-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats