Quickly forecasting the future state of urban sensors by the missing-data-tolerant deep learning approach DOI
Peixiao Wang, Hengcai Zhang, Shifen Cheng

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 118, P. 106044 - 106044

Published: Dec. 9, 2024

Language: Английский

Efforts needed to coordinate future economic growth and heatwave exposure mitigation in coastal cities DOI
Yuwei Wang, Na Zhao, Chaoyang Wu

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106177 - 106177

Published: Jan. 1, 2025

Language: Английский

Citations

0
Human-perceived temperature changes linked to local climate zones under extreme hot and cold weathers: A study in the North China Plain DOI
Xiang Li, Ming Luo, Jianfeng Li

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106201 - 106201

Published: Feb. 1, 2025

Language: Английский

Citations

0
Urban heat health risk inequality and its drivers based on Local Climate Zones: A case study of Qingdao, China DOI
Fei Guo,

Gao-Ming Fan,

Jun Zhao

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112827 - 112827

Published: March 1, 2025

Language: Английский

Citations

0
Exploring spatial–temporal evolution patterns of urban heat islands in summer and winter: evidence from a megacity of China DOI Creative Commons

Nuocheng Yang,

Chunyan Lu, Ling Ouyang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 19, 2025

Investigating the urban heat island (UHI) effect across different seasons can reveal impact of seasonal temperature changes on environment, improve living standard, and develop feasible measures to mitigate UHI effects. In study, land surface (LST) summer winter was quantitatively retrieved in a megacity (Shenzhen city) during 2013-2023. Through standard deviation ellipse, profile analysis GeoDetector model, this study systematically analyzed spatial-temporal evolution characteristics driving factors thermal environment winter. The results showed that LST initially decreased then increased from 2013 2023, while consistently increased. During area decreased, whereas green land, wetland, natural open water were lower than cropland, unvegetated artificial surface, demonstrating vegetation had mitigating UHI. Land cover type interactions with normalized difference built-up index (summer) PM2.5 (winter) have most significant influence This could provide scientific references for rational planning sustainable development.

Language: Английский

Citations

0
Homogeneity and heterogeneity of diurnal and nocturnal hotspots and the implications for synergetic mitigation in heat-resilient urban planning DOI
Huimin Liu, Miao Li, Qingming Zhan

et al.

Computers Environment and Urban Systems, Journal Year: 2024, Volume and Issue: 117, P. 102241 - 102241

Published: Dec. 14, 2024

Language: Английский

Citations

3
Quickly forecasting the future state of urban sensors by the missing-data-tolerant deep learning approach DOI
Peixiao Wang, Hengcai Zhang, Shifen Cheng

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 118, P. 106044 - 106044

Published: Dec. 9, 2024

Language: Английский

Citations

0