Modeling the impact of land use/land cover (LULC) factors on diurnal and nocturnal Urban Heat Island (UHI) intensities using spatial regression models DOI
Ghiwa Assaf, Rayan H. Assaad

Urban Climate, Journal Year: 2024, Volume and Issue: 55, P. 101971 - 101971

Published: May 1, 2024

Language: Английский

Localized synergies between heat waves and urban heat islands: Implications on human thermal comfort and urban heat management DOI
Bao‐Jie He, Junsong Wang, Huimin Liu

et al.

Environmental Research, Journal Year: 2020, Volume and Issue: 193, P. 110584 - 110584

Published: Dec. 4, 2020

Language: Английский

Citations

329

Understanding land surface temperature impact factors based on local climate zones DOI
Jun Yang, Jiayi Ren, Dongqi Sun

et al.

Sustainable Cities and Society, Journal Year: 2021, Volume and Issue: 69, P. 102818 - 102818

Published: March 1, 2021

Language: Английский

Citations

232

Relationship between urban spatial form and seasonal land surface temperature under different grid scales DOI
Yang Chen, Jun Yang, Wenbo Yu

et al.

Sustainable Cities and Society, Journal Year: 2022, Volume and Issue: 89, P. 104374 - 104374

Published: Dec. 24, 2022

Language: Английский

Citations

144

Exploring thermal comfort of urban buildings based on local climate zones DOI
Jiayi Ren, Jun Yang, Yuqing Zhang

et al.

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 340, P. 130744 - 130744

Published: Feb. 3, 2022

Language: Английский

Citations

136

Suitability of human settlements in mountainous areas from the perspective of ventilation: A case study of the main urban area of Chongqing DOI
Xue Luo, Jun Yang, Wei Sun

et al.

Journal of Cleaner Production, Journal Year: 2021, Volume and Issue: 310, P. 127467 - 127467

Published: May 19, 2021

Language: Английский

Citations

129

The dominant factors and influence of urban characteristics on land surface temperature using random forest algorithm DOI
Qi Wang,

Xiaona Wang,

Yong Zhou

et al.

Sustainable Cities and Society, Journal Year: 2022, Volume and Issue: 79, P. 103722 - 103722

Published: Jan. 29, 2022

Language: Английский

Citations

99

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

et al.

Landscape and Urban Planning, Journal Year: 2023, Volume and Issue: 239, P. 104842 - 104842

Published: July 26, 2023

Language: Английский

Citations

58

Predicting land surface temperature and examining its relationship with air pollution and urban parameters in Bengaluru: A machine learning approach DOI Open Access
Gourav Suthar,

Nivedita Kaul,

Sumit Khandelwal

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 53, P. 101830 - 101830

Published: Jan. 1, 2024

Language: Английский

Citations

24

Quantifying the impact of urban trees on land surface temperature in global cities DOI

Tingting He,

Yihua Hu, Andong Guo

et al.

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2024, Volume and Issue: 210, P. 69 - 79

Published: March 12, 2024

Language: Английский

Citations

19

XGBoost-Based Analysis of the Relationship Between Urban 2-D/3-D Morphology and Seasonal Gradient Land Surface Temperature DOI Creative Commons
Xinyue Ma, Jun Yang, Rui Zhang

et al.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2024, Volume and Issue: 17, P. 4109 - 4124

Published: Jan. 1, 2024

The escalation of greenhouse gas emissions has led to a continuous rise in land surface temperature (LST). Studies have highlighted the substantial influence urban morphology on LST; however, impact different dimensional indicators and their gradient effects remain unexplored. Selecting area Shenyang as case, we chose various representing dimensions. By employing XGBoost for regression analysis, aimed explore 2D 3D seasonal LST its effect. following results were obtained: (1) spatial pattern spring winter was higher suburbs than center. (2) correlation patterns similar, except proportion woodland grass (PWG), digital elevation model (DEM), sky view factor (SVF), which exhibited opposing trends summer autumn. (3) Vegetation construction had highest index, followed by building forms natural landscapes morphology. (4) each indicator varied significantly across gradients. Among all indicators, landscape social development, forms, skyscape impacts areas. built-up areas greater suburban findings this study can assist adjusting provide valuable recommendations targeted improvements thermal environments, thereby contributing sustainable development.

Language: Английский

Citations

17