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Contrasting determinants of land surface temperature in three megacities

Implications to cool tropical metropolitan regions

Bibliographic Data

ID21230366
AuthorsLinlin Lu (0000-0003-1647-1950, Chinese Academy of Sciences, corresponding author), Peng Fu (0009-0009-6501-1556, Harrisburg University of Science and Technology), Ashraf Dewan (0000-0001-5594-5464, Curtin University), Qingting Li (0000-0001-5212-2729, Chinese Academy of Sciences)
Year2023
Volume92
Pages104505
Publication date2023-05-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSustainable Cities and Society (JOURNAL)
Journal identifiersISSN: 2210-6707 • E-ISSN: 2210-6715
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.scs.2023.104505
OpenAlexW4323256921
LanguageEN
Citations received14
References cited80

Megacities in tropical regions are among the urban centers most vulnerable to increasingly intense heatwaves. However, the complex interactions between urban characteristics and thermal environments are yet to be fully understood. Here, we investigated the relationship between urban characteristics and land surface temperature (LST) for three megacities in the tropical savannah climate zone, Chennai, Dhaka, and Kolkata. LST values were retrieved from Landsat 8 data, and urban features were constructed using digital surface models, building footprints, and satellite imagery. Model-agnostic approaches were adopted to analyze the impacts of urban characteristics on LST. The boosted regression tree (BRT) model was used to capture the nonlinear effects of six most important factors on LST changes. The dominant influencing factors of LST were normalized difference built-up index, albedo, and normalized difference vegetation index. Building roofs, roads, and other hardscapes with high-albedo materials are preferred in alleviating surface urban heat island effect in Dhaka and Kolkata. The placement of urban parks with woody vegetation in an area larger than 0.6 ha produced effective cooling effect. In Chennai and Kolkata, urban policies to increase sky view factor are recommended. The application of BRT model with integrated urban data provides unique insights for thermal resilience planning

Climatology · Geography · Megacity · Meteorology · Metropolitan area · Physical geography · Urban heat island · Environmental Science · Land Use and Ecosystem Services · Urban Green Space and Health · Urban Heat Island Mitigation · Geology

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Unique citing works14
Citations per year4,67
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 11

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