The impact of urban landscape patterns on land surface temperature at the street block level: Evidence from 38 big Chinese cities DOI
Anqi Zhang,

Weifeng Li,

Chang Xia

и другие.

Environmental Impact Assessment Review, Год журнала: 2024, Номер 110, С. 107673 - 107673

Опубликована: Сен. 24, 2024

Язык: Английский

Contribution of urban functional zones to the spatial distribution of urban thermal environment DOI
Yang Chen, Jun Yang,

Ruxin Yang

и другие.

Building and Environment, Год журнала: 2022, Номер 216, С. 109000 - 109000

Опубликована: Март 21, 2022

Язык: Английский

Процитировано

157

Landscape metrics in assessing how the configuration of urban green spaces affects their cooling effect: A systematic review of empirical studies DOI
Yilun Li, Chao Ren, Janice Ho

и другие.

Landscape and Urban Planning, Год журнала: 2023, Номер 239, С. 104842 - 104842

Опубликована: Июль 26, 2023

Язык: Английский

Процитировано

62

Drivers of global surface urban heat islands: Surface property, climate background, and 2D/3D urban morphologies DOI

Ledi Shao,

Weilin Liao, Peilin Li

и другие.

Building and Environment, Год журнала: 2023, Номер 242, С. 110581 - 110581

Опубликована: Июль 4, 2023

Язык: Английский

Процитировано

58

The synergy between pollution reduction and carbon reduction in Chinese cities and its influencing factors DOI
Kai Liu,

Guixiu Ren,

Shumin Dong

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 106, С. 105348 - 105348

Опубликована: Март 13, 2024

Язык: Английский

Процитировано

27

Exploring the relationship between urban green development and heat island effect within the Yangtze River Delta Urban Agglomeration DOI
Zhanyu Liu,

S.Y. Zhang

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106204 - 106204

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

4

Diurnal dynamics of heat exposure in Xi'an: A perspective from local climate zone DOI
Bo Yuan, Liang Zhou,

Fengning Hu

и другие.

Building and Environment, Год журнала: 2022, Номер 222, С. 109400 - 109400

Опубликована: Июль 15, 2022

Язык: Английский

Процитировано

58

Economic spatial structure of China's urban agglomerations: Regional differences, distribution dynamics, and convergence DOI
Kai Liu,

Yuting Xue,

Zhongfei Chen

и другие.

Sustainable Cities and Society, Год журнала: 2022, Номер 87, С. 104253 - 104253

Опубликована: Окт. 13, 2022

Язык: Английский

Процитировано

47

How does urban heat island differ across urban functional zones? Insights from 2D/3D urban morphology using geospatial big data DOI
Anqi Lin, Hao Wu, Wenting Luo

и другие.

Urban Climate, Год журнала: 2023, Номер 53, С. 101787 - 101787

Опубликована: Дек. 14, 2023

Язык: Английский

Процитировано

41

Effects of 2D/3D urban morphology on land surface temperature: Contribution, response, and interaction DOI Open Access
Bo Yuan, Liang Zhou,

Fengning Hu

и другие.

Urban Climate, Год журнала: 2023, Номер 53, С. 101791 - 101791

Опубликована: Дек. 26, 2023

Язык: Английский

Процитировано

37

Spatial correlation evolution and prediction scenario of land use carbon emissions in the Yellow River Basin DOI Creative Commons

Tianqi Rong,

Pengyan Zhang, Guanghui Li

и другие.

Ecological Indicators, Год журнала: 2023, Номер 154, С. 110701 - 110701

Опубликована: Июль 25, 2023

Carbon dioxide emission is an important driving factor of global warming and it has threatened the ecological environment human survival. Among them, land use led to significant carbon emissions that profoundly affect climate system change. The Yellow River Basin (YRB) one regions with most concentrated contradictions in population, resources, China; thus, studying current situation (LUCE) for mitigating warming, promoting coordinated reduction among different basin, achieving conservation high-quality development YRB. This study based on socio-economic data, carried out from perspective social network analysis. spatiotemporal variation LUCE YRB was analyzed using coefficient method. spatial spillover effects were discussed analysis methods. PLUS model used simulate differences under scenarios. results indicate that: (1) showed increasing trend during period, distribution. (2) There a effect correlation between cities network, superior economic had greater impact other cities. (3) In 2030, protection scenario, lowest, 2.7 × 106 tons compared natural further illustrating importance land. Compared previous studies, this explores various new On hand, makes prediction 2030 by setting research have broadened application scope methods, practical significance major river basins scientifically formulating policies.

Язык: Английский

Процитировано

32