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Urban Heat Island vulnerability mapping using advanced GIS data and tools
Urban Heat Island (UHI) is a phenomenon that can cause hotspots in city areas due to dense, impervious infrastructure and minimal vegetation cover. UHI hotspots may become worse in extreme heat events that are already affecting many regions across the globe due to increased frequent hot extremes, hu...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer India
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756927/ http://dx.doi.org/10.1007/s12040-022-02005-w |
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author | Sidiqui, Paras Roös, Phillip B Herron, Murray Jones, David S Duncan, Emma Jalali, Ali Allam, Zaheer Roberts, Bryan J Schmidt, Alexander Tariq, Muhammad Atiq Ur Rehman Shah, Ashfaq Ahmed Khan, Nasir Abbas Irshad, Muhammad |
author_facet | Sidiqui, Paras Roös, Phillip B Herron, Murray Jones, David S Duncan, Emma Jalali, Ali Allam, Zaheer Roberts, Bryan J Schmidt, Alexander Tariq, Muhammad Atiq Ur Rehman Shah, Ashfaq Ahmed Khan, Nasir Abbas Irshad, Muhammad |
author_sort | Sidiqui, Paras |
collection | PubMed |
description | Urban Heat Island (UHI) is a phenomenon that can cause hotspots in city areas due to dense, impervious infrastructure and minimal vegetation cover. UHI hotspots may become worse in extreme heat events that are already affecting many regions across the globe due to increased frequent hot extremes, human-induced warming in cities, and rapidly growing urbanization, as documented by the latest IPCC report 2021. In seeking to support designers, planners, and decision-makers in developing and implementing adaptation strategies and measures to make our cities sustainable and resilient, reliable projections and modelling are required. In this study, we modelled UHI vulnerability using high-resolution spatial data, advanced geospatial tools, and socio-demographic data. This modified vulnerability approach drew upon UHI index maps and 20 select customized indicators of heat exposure, population sensitivity, and mobility/adaptive capacity. The indicators were Delphi evaluated and weighted, and the methodology was applied against the City of Greater Geelong municipality in Australia. The resulting UHI index maps indicated significant hotspots in areas of high building density, commercial/industrial zones, newly constructed sites, and zones with low urban green infrastructure. These UHI maps, in combination with selected indicators, highlighted the areal concentration of heat risk areas and vulnerable locations for the sensitive human population. The highlighted areas were primarily concentrated in high building density and high population density areas, which was seen through correlation curves. However, the building density showed a weak correlation, and population per meshblock indicated a strong correlation with UHI measurements. This study provides a comprehensive analysis of risk mapping and vulnerability assessment using GIS geospatial data for the advancement of a major local government area and concludes that this methodology has replicability incomparable geographical regions. |
format | Online Article Text |
id | pubmed-9756927 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer India |
record_format | MEDLINE/PubMed |
spelling | pubmed-97569272022-12-16 Urban Heat Island vulnerability mapping using advanced GIS data and tools Sidiqui, Paras Roös, Phillip B Herron, Murray Jones, David S Duncan, Emma Jalali, Ali Allam, Zaheer Roberts, Bryan J Schmidt, Alexander Tariq, Muhammad Atiq Ur Rehman Shah, Ashfaq Ahmed Khan, Nasir Abbas Irshad, Muhammad J Earth Syst Sci Article Urban Heat Island (UHI) is a phenomenon that can cause hotspots in city areas due to dense, impervious infrastructure and minimal vegetation cover. UHI hotspots may become worse in extreme heat events that are already affecting many regions across the globe due to increased frequent hot extremes, human-induced warming in cities, and rapidly growing urbanization, as documented by the latest IPCC report 2021. In seeking to support designers, planners, and decision-makers in developing and implementing adaptation strategies and measures to make our cities sustainable and resilient, reliable projections and modelling are required. In this study, we modelled UHI vulnerability using high-resolution spatial data, advanced geospatial tools, and socio-demographic data. This modified vulnerability approach drew upon UHI index maps and 20 select customized indicators of heat exposure, population sensitivity, and mobility/adaptive capacity. The indicators were Delphi evaluated and weighted, and the methodology was applied against the City of Greater Geelong municipality in Australia. The resulting UHI index maps indicated significant hotspots in areas of high building density, commercial/industrial zones, newly constructed sites, and zones with low urban green infrastructure. These UHI maps, in combination with selected indicators, highlighted the areal concentration of heat risk areas and vulnerable locations for the sensitive human population. The highlighted areas were primarily concentrated in high building density and high population density areas, which was seen through correlation curves. However, the building density showed a weak correlation, and population per meshblock indicated a strong correlation with UHI measurements. This study provides a comprehensive analysis of risk mapping and vulnerability assessment using GIS geospatial data for the advancement of a major local government area and concludes that this methodology has replicability incomparable geographical regions. Springer India 2022-12-16 2022 /pmc/articles/PMC9756927/ http://dx.doi.org/10.1007/s12040-022-02005-w Text en © Indian Academy of Sciences 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Sidiqui, Paras Roös, Phillip B Herron, Murray Jones, David S Duncan, Emma Jalali, Ali Allam, Zaheer Roberts, Bryan J Schmidt, Alexander Tariq, Muhammad Atiq Ur Rehman Shah, Ashfaq Ahmed Khan, Nasir Abbas Irshad, Muhammad Urban Heat Island vulnerability mapping using advanced GIS data and tools |
title | Urban Heat Island vulnerability mapping using advanced GIS data and tools |
title_full | Urban Heat Island vulnerability mapping using advanced GIS data and tools |
title_fullStr | Urban Heat Island vulnerability mapping using advanced GIS data and tools |
title_full_unstemmed | Urban Heat Island vulnerability mapping using advanced GIS data and tools |
title_short | Urban Heat Island vulnerability mapping using advanced GIS data and tools |
title_sort | urban heat island vulnerability mapping using advanced gis data and tools |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756927/ http://dx.doi.org/10.1007/s12040-022-02005-w |
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