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Article: Spatiotemporal variation in surface urban heat island intensity and associated Determinants across major Chinese cities

TitleSpatiotemporal variation in surface urban heat island intensity and associated Determinants across major Chinese cities
Authors
KeywordsAnthropogenic heat discharge
Regression tree model
Surface urban heat island
Urban form
Urban surface characteristics
Issue Date2015
Citation
Remote Sensing, 2015, v. 7, n. 4, p. 3670-3689 How to Cite?
AbstractUrban heat islands (UHIs) created through urbanization can have negative impacts on the lives of people living in cities. They may also vary spatially and temporally over a city. There is, thus, a need for greater understanding of these patterns and their causes. While previous UHI studies focused on only a few cities and/or several explanatory variables, this research provides a comprehensive and comparative characterization of the diurnal and seasonal variation in surface UHI intensities (SUHIIs) across 67 major Chinese cities. The factors associated with the SUHII were assessed by considering a variety of related social, economic and natural factors using a regression tree model. Obvious seasonal variation was observed for the daytime SUHII, and the diurnal variation in SUHII variedseasonally across China. Interestingly, the SUHII varied significantly in character between northern and southern China. Southern China experienced more intense daytime SUHIIs, while the opposite was true for nighttime SUHIIs. Vegetation had the greatest effect in the day time in northern China. In southern China, annual electricity consumption and the number of public buses were found to be important. These results have important theoretical significance and may be of use to mitigate UHI effects.
Persistent Identifierhttp://hdl.handle.net/10722/329368
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWang, Juan-
dc.contributor.authorHuang, Bo-
dc.contributor.authorFu, Dongjie-
dc.contributor.authorAtkinson, Peter M.-
dc.date.accessioned2023-08-09T03:32:17Z-
dc.date.available2023-08-09T03:32:17Z-
dc.date.issued2015-
dc.identifier.citationRemote Sensing, 2015, v. 7, n. 4, p. 3670-3689-
dc.identifier.urihttp://hdl.handle.net/10722/329368-
dc.description.abstractUrban heat islands (UHIs) created through urbanization can have negative impacts on the lives of people living in cities. They may also vary spatially and temporally over a city. There is, thus, a need for greater understanding of these patterns and their causes. While previous UHI studies focused on only a few cities and/or several explanatory variables, this research provides a comprehensive and comparative characterization of the diurnal and seasonal variation in surface UHI intensities (SUHIIs) across 67 major Chinese cities. The factors associated with the SUHII were assessed by considering a variety of related social, economic and natural factors using a regression tree model. Obvious seasonal variation was observed for the daytime SUHII, and the diurnal variation in SUHII variedseasonally across China. Interestingly, the SUHII varied significantly in character between northern and southern China. Southern China experienced more intense daytime SUHIIs, while the opposite was true for nighttime SUHIIs. Vegetation had the greatest effect in the day time in northern China. In southern China, annual electricity consumption and the number of public buses were found to be important. These results have important theoretical significance and may be of use to mitigate UHI effects.-
dc.languageeng-
dc.relation.ispartofRemote Sensing-
dc.subjectAnthropogenic heat discharge-
dc.subjectRegression tree model-
dc.subjectSurface urban heat island-
dc.subjectUrban form-
dc.subjectUrban surface characteristics-
dc.titleSpatiotemporal variation in surface urban heat island intensity and associated Determinants across major Chinese cities-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.3390/rs70403670-
dc.identifier.scopuseid_2-s2.0-84937926576-
dc.identifier.volume7-
dc.identifier.issue4-
dc.identifier.spage3670-
dc.identifier.epage3689-
dc.identifier.eissn2072-4292-
dc.identifier.isiWOS:000354789300013-

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