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Article: A Multiscale Land Use Regression Approach for Estimating Intraurban Spatial Variability of PM2.5 Concentration by Integrating Multisource Datasets

TitleA Multiscale Land Use Regression Approach for Estimating Intraurban Spatial Variability of PM2.5 Concentration by Integrating Multisource Datasets
Authors
Shi, YLau, AKHNg, EHo, HCBilal, M
Issue Date2021
Citation
International Journal of Environmental Research and Public Health, 2021, v. 19, p. 321 How to Cite?
DOI: http://dx.doi.org/10.3390/ijerph19010321
Persistent Identifierhttp://hdl.handle.net/10722/312302
ISI Accession Number ID
WOS:000759824700001

 

DC FieldValueLanguage
dc.contributor.authorShi, Y-
dc.contributor.authorLau, AKH-
dc.contributor.authorNg, E-
dc.contributor.authorHo, HC-
dc.contributor.authorBilal, M-
dc.date.accessioned2022-04-25T01:37:53Z-
dc.date.available2022-04-25T01:37:53Z-
dc.date.issued2021-
dc.identifier.citationInternational Journal of Environmental Research and Public Health, 2021, v. 19, p. 321-
dc.identifier.urihttp://hdl.handle.net/10722/312302-
dc.languageeng-
dc.relation.ispartofInternational Journal of Environmental Research and Public Health-
dc.titleA Multiscale Land Use Regression Approach for Estimating Intraurban Spatial Variability of PM2.5 Concentration by Integrating Multisource Datasets-
dc.typeArticle-
dc.identifier.emailHo, HC: hcho22@hku.hk-
dc.identifier.authorityHo, HC=rp02482-
dc.identifier.doi10.3390/ijerph19010321-
dc.identifier.hkuros332894-
dc.identifier.volume19-
dc.identifier.spage321-
dc.identifier.epage321-
dc.identifier.isiWOS:000759824700001-

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