Quantifying spatiotemporal patterns of urban heat, dry and wet-bulb islands across representative local climate zones through field measurements and artificial neural networks

Journal:
Sustainable Cities and Society
Published:
DOI:
10.1016/j.scs.2025.106558
Affiliations:
5
Authors:
5
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Institutions Authors Share
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), SYSU, China
2.500000
 0.50
Concordia University, Canada
1.000000
 0.20
China Meteorological Administration (CMA), China
0.500000
 0.10
Zhuhai Meteorological Bureau, China
0.500000
 0.10
Guangzhou Institute of Tropical and Marine Meteorology, CMA, China
0.500000
 0.10
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