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Irregular anisotropy in surface urban heat island footprint

Dados Bibliográficos

ID21230833
AutoresXinyue Yang (0000-0002-3175-1363, Curtin University), Yongze Song (0000-0003-3420-9622, Curtin University, autor correspondente), Cheolhee Yoo (0000-0002-3922-2300, Hong Kong Polytechnic University), Kai Ren (0000-0002-3802-7124, Curtin University), Peng Wu (0009-0005-1580-3759, Curtin University)
Ano2025
Volume131
Páginas106779
Data de publicação2025-09-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoSustainable Cities and Society (JOURNAL)
Identificadores do periódicoISSN: 2210-6707 • E-ISSN: 2210-6715
EditoraElsevier BV (PUBLISHER)
DOI10.1016/j.scs.2025.106779
OpenAlexW4413841118
IdiomaEN
Referências citadas91

Footprint and intensity are key indicators for quantitatively analyzing the characteristics of the SUHI effect. Currently, methods based on angle-segmentation and anisotropy have been developed to estimate footprints, but are still greatly challenged by spatial heterogeneity, especially for directional difference. Therefore, this study develops an adaptive irregular anisotropy (AIA) model to explore the irregular anisotropy in the SUHI effect. The developed AIA model is used to assess the SUHI effect in Sydney, Melbourne, Brisbane, Perth, and Adelaide, Australia. The model dynamically adjusts sector divisions based on the q value to maximize temperature differences between sectors. The results show that the AIA model displays reliable directional adaptability. The SUHI footprint ratio extracted by the AIA model generally ranges from 0 to 8 times the urban area. It is more concentrated in areas with a high proportion of artificial surfaces or natural bare land. The AIA model also reduces the mean bias in SUHI intensity estimates. Furthermore, compared with other anisotropy-based extraction methods, the AIA model improves the q value by 1.1% to 44.1%. In summary, this study provides an adaptive SUHI effect estimation method, which facilitates the development of SUHI mitigation strategies

Anisotropy · Archaeology · Footprint · Geography · Geometry · Meteorology · Optics · Physics · Urban heat island · Environmental Science · Mathematics · Noise Effects and Management · Remote Sensing and Land Use · Urban Heat Island Mitigation · Geology

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