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Mitigating Urban Heat Islands in the Global South: Data-driven Approach for Effective Cooling Strategies

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dc.citedby4
dc.contributor.authorChakrabortty R.en_US
dc.contributor.authorPramanik M.en_US
dc.contributor.authorHasan M.M.en_US
dc.contributor.authorHalder B.en_US
dc.contributor.authorPande C.B.en_US
dc.contributor.authorMoharir K.N.en_US
dc.contributor.authorZhran M.en_US
dc.contributor.authorid57208780685en_US
dc.contributor.authorid56835325700en_US
dc.contributor.authorid57191158500en_US
dc.contributor.authorid57217238320en_US
dc.contributor.authorid57193547008en_US
dc.contributor.authorid57193546415en_US
dc.contributor.authorid57553459500en_US
dc.date.accessioned2025-03-03T07:46:24Z
dc.date.available2025-03-03T07:46:24Z
dc.date.issued2024
dc.description.abstractThe Urban Heat Islands (UHI) phenomenon presents a pressing concern in many megacities worldwide, demanding urgent attention for proper mitigation and sustainable development. In regions like Bangkok, where population pressures and extreme climate conditions exacerbate the issue, addressing heat islands becomes critical. While previous studies have primarily focused on Land Surface Temperature (LST) assessments, comprehensive heat mitigation strategies remain largely unexplored. Therefore, there is a critical need to quantify cooling capacity and heat mitigation for effective urban planning. This study utilized the 'urban cooling model' to assess heat mitigation measures using parameters such as albedo, the cooling capacity of parks, evapotranspiration, green area, green area sum, UHI cooling effect, reference end of transmission, shade, air temperature, air temperature nomix, and Wet Bulb Globe Temperature (WBGT) across different land use zones. The model generates insights into cooling capacity and heat mitigation indices. The maximum and minimum mean cooling capacities were found in Ban Phaeo (0.20) and Khlong Luang (0.05) provinces, respectively. Additionally, the maximum and minimum heat mitigation were observed in Bang Bo (0.11) and Bang Bua (0.05). The analyses between heat mitigation and intermediate variables of the urban cooling model elucidate their relationships, aiding in the optimal determination of cooling capacity and heat mitigation indices. This study highlights the importance of strategic urban cooling strategies in Bangkok to enhance sustainable urban development. Graphical Abstract: (Figure presented.). ? King Abdulaziz University and Springer Nature Switzerland AG 2024.en_US
dc.description.natureArticle in pressen_US
dc.identifier.doi10.1007/s41748-024-00449-2
dc.identifier.scopus2-s2.0-85204151106
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85204151106&doi=10.1007%2fs41748-024-00449-2&partnerID=40&md5=d97dccf0b5214a343f932c231516b9c6
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36990
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceScopus
dc.sourcetitleEarth Systems and Environment
dc.titleMitigating Urban Heat Islands in the Global South: Data-driven Approach for Effective Cooling Strategiesen_US
dc.typeArticleen_US
dspace.entity.typePublication
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