Configuration of Green–Blue–Grey Spaces for Efficient Cooling of Urban Physical and Perceptual Thermal Environments DOI Creative Commons

Wenxia Zeng,

Kun Yang, Shaohua Zhang

и другие.

Land, Год журнала: 2025, Номер 14(3), С. 645 - 645

Опубликована: Март 18, 2025

Blue and green spaces are well-known for their benefits in improving urban thermal environments. However, the optimal configuration of green, blue, grey (GBGSs) physical mental health residents remains unclear. Therefore, we employed land surface temperature (LST), near-surface air (SAT), Humidex to analyze GBGS. The results indicated following: (1) spatial distribution Perceptual Urban Thermal Environments (PTEs) is consistent with that Surface (STEs). most perceptual indicators lower than daytime LST higher SAT. (2) have cooling efficiency spaces. (3) coverage space less 40%, at least 35% space, blue covers between 15% 25%, which balance environment. Moreover, increasing simplifying recommended where below 30%. In areas 30–40% enhancing complexity fragmentation boundaries more effective. Maintaining 30% optimizing aggregation improves over 40%. This study provides scientific foundation GBGSs development renovations.

Язык: Английский

Mitigating urban heat island through urban-rural transition zone landscape configuration: Evaluation based on an interpretable ensemble machine learning framework DOI
Shengyu Guan,

Y. Chen,

Tianwen Wang

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер 123, С. 106272 - 106272

Опубликована: Март 10, 2025

Язык: Английский

Процитировано

1
Configuration of Green–Blue–Grey Spaces for Efficient Cooling of Urban Physical and Perceptual Thermal Environments DOI Creative Commons

Wenxia Zeng,

Kun Yang, Shaohua Zhang

и другие.

Land, Год журнала: 2025, Номер 14(3), С. 645 - 645

Опубликована: Март 18, 2025

Blue and green spaces are well-known for their benefits in improving urban thermal environments. However, the optimal configuration of green, blue, grey (GBGSs) physical mental health residents remains unclear. Therefore, we employed land surface temperature (LST), near-surface air (SAT), Humidex to analyze GBGS. The results indicated following: (1) spatial distribution Perceptual Urban Thermal Environments (PTEs) is consistent with that Surface (STEs). most perceptual indicators lower than daytime LST higher SAT. (2) have cooling efficiency spaces. (3) coverage space less 40%, at least 35% space, blue covers between 15% 25%, which balance environment. Moreover, increasing simplifying recommended where below 30%. In areas 30–40% enhancing complexity fragmentation boundaries more effective. Maintaining 30% optimizing aggregation improves over 40%. This study provides scientific foundation GBGSs development renovations.

Язык: Английский

Процитировано

0