Mitigating Urban Heat Islands in the Global South: Data-driven Approach for Effective Cooling Strategies
The 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 isl...
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Springer Science and Business Media Deutschland GmbH
2025
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| author | Chakrabortty R. Pramanik M. Hasan M.M. Halder B. Pande C.B. Moharir K.N. Zhran M. |
| author2 | 57208780685 |
| author_facet | 57208780685 Chakrabortty R. Pramanik M. Hasan M.M. Halder B. Pande C.B. Moharir K.N. Zhran M. |
| author_sort | Chakrabortty R. |
| building | UNITEN Library |
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| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | The 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. |
| format | Article |
| id | my.uniten.dspace-36990 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2025 |
| publisher | Springer Science and Business Media Deutschland GmbH |
| record_format | dspace |
| spelling | my.uniten.dspace-369902025-03-03T15:46:24Z Mitigating Urban Heat Islands in the Global South: Data-driven Approach for Effective Cooling Strategies Chakrabortty R. Pramanik M. Hasan M.M. Halder B. Pande C.B. Moharir K.N. Zhran M. 57208780685 56835325700 57191158500 57217238320 57193547008 57193546415 57553459500 The 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. Article in press 2025-03-03T07:46:24Z 2025-03-03T07:46:24Z 2024 Article 10.1007/s41748-024-00449-2 2-s2.0-85204151106 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204151106&doi=10.1007%2fs41748-024-00449-2&partnerID=40&md5=d97dccf0b5214a343f932c231516b9c6 https://irepository.uniten.edu.my/handle/123456789/36990 Springer Science and Business Media Deutschland GmbH Scopus |
| spellingShingle | Chakrabortty R. Pramanik M. Hasan M.M. Halder B. Pande C.B. Moharir K.N. Zhran M. Mitigating Urban Heat Islands in the Global South: Data-driven Approach for Effective Cooling Strategies |
| title | Mitigating Urban Heat Islands in the Global South: Data-driven Approach for Effective Cooling Strategies |
| title_full | Mitigating Urban Heat Islands in the Global South: Data-driven Approach for Effective Cooling Strategies |
| title_fullStr | Mitigating Urban Heat Islands in the Global South: Data-driven Approach for Effective Cooling Strategies |
| title_full_unstemmed | Mitigating Urban Heat Islands in the Global South: Data-driven Approach for Effective Cooling Strategies |
| title_short | Mitigating Urban Heat Islands in the Global South: Data-driven Approach for Effective Cooling Strategies |
| title_sort | mitigating urban heat islands in the global south: data-driven approach for effective cooling strategies |
| url_provider | http://dspace.uniten.edu.my/ |