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Key Parameters for Urban Heat Island Assessment in A Mediterranean Context: A Sensitivity Analysis Using the Urban Weather Generator Model

dc.contributor.authorSalvati A.
dc.contributor.authorPalme M.
dc.contributor.authorInostroza L.
dc.date.accessioned2020-09-02T22:28:14Z
dc.date.available2020-09-02T22:28:14Z
dc.date.issued2017
dc.identifier10.1088/1757-899X/245/8/082055
dc.identifier.citation245, 8, -
dc.identifier.issn17578981
dc.identifier.urihttps://hdl.handle.net/20.500.12728/6248
dc.descriptionAlthough Urban Heat Island (UHI) is a fundamental effect modifying the urban climate, being widely studied, the relative weight of the parameters involved in its generation is still not clear. This paper investigates the hierarchy of importance of eight parameters responsible for UHI intensity in the Mediterranean context. Sensitivity analyses have been carried out using the Urban Weather Generator model, considering the range of variability of: 1) city radius, 2) urban morphology, 3) tree coverage, 4) anthropogenic heat from vehicles, 5) building's cooling set point, 6) heat released to canyon from HVAC systems, 7) wall construction properties and 8) albedo of vertical and horizontal surfaces. Results show a clear hierarchy of significance among the considered parameters; the urban morphology is the most important variable, causing a relative change up to 120% of the annual average UHI intensity in the Mediterranean context. The impact of anthropogenic sources of heat such as cooling systems and vehicles is also significant. These results suggest that urban morphology parameters can be used as descriptors of the climatic performance of different urban areas, easing the work of urban planners and designers in understanding a complex physical phenomenon, such as the UHI. © Published under licence by IOP Publishing Ltd.
dc.language.isoen
dc.publisherInstitute of Physics Publishing
dc.sourceSegalini A.Yilmaz I.Marschalko M.Rybak J.Drusa M.Coisson E.
dc.titleKey Parameters for Urban Heat Island Assessment in A Mediterranean Context: A Sensitivity Analysis Using the Urban Weather Generator Model
dc.typeConference Paper


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