Cited by Nonlinear forces in urban thermal environment using Bayesian optimization-based ensemble learning

Reconceptualizing urban heat island: Beyond the urban-rural dichotomy DOI

Zhi‐Hua Wang

Sustainable Cities and Society, Journal Year: 2021, Volume and Issue: 77, P. 103581 - 103581

Published: Nov. 29, 2021

Language: Английский

Citations

Seasonally disparate responses of surface thermal environment to 2D/3D urban morphology DOI

Jike Chen, Wenfeng Zhan, Peijun Du

et al.

Building and Environment, Journal Year: 2022, Volume and Issue: 214, P. 108928 - 108928

Published: March 2, 2022

Language: Английский

Citations

Dominant Factors and Spatial Heterogeneity of Land Surface Temperatures in Urban Areas: A Case Study in Fuzhou, China DOI

Yang Liu-qing,

Kunyong Yu,

Jingwen Ai

et al.

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(5), P. 1266 - 1266

Published: March 4, 2022

The urban heat island (UHI) phenomenon caused by rapid urbanization has become an important global ecological and environmental problem that cannot be ignored. In this study, the UHI effect was quantified using Landsat 8 image inversion land surface temperatures (LSTs). With spatial scale of street units in Fuzhou City, China, ordinary least squares (OLS) regression, geographically weighted regression (GWR) models, multi-scale (MGWR), we explored heterogeneities influencing factors LST. results indicated that, compared with traditional OLS GWR improved model fit considering heterogeneity, whereas MGWR outperformed terms goodness effects different bandwidths on Building density (BD), normalized difference impervious index (NDISI), sky view factor (SVF) were influences elevated LST, while building height (BH), forest percentage (Forest_per), waterbody (Water_per) negatively correlated addition, built-up (Built_per) population (Pop_Den) showed significant non-stationary characteristics. These findings suggest need to consider heterogeneity analyses impact factors. This study can used provide guidance mitigation strategies for UHIs regions.

Language: Английский

Citations

Divergent impact of urban 2D/3D morphology on thermal environment along urban gradients DOI

Andong Guo, Wenze Yue, Jun Yang

et al.

Urban Climate, Journal Year: 2022, Volume and Issue: 45, P. 101278 - 101278

Published: Sept. 1, 2022

Language: Английский

Citations

Nonlinear forces in urban thermal environment using Bayesian optimization-based ensemble learning DOI

Zhiqiang Wu,

Renlu Qiao, Shuang Zhao

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 838, P. 156348 - 156348

Published: June 1, 2022

Language: Английский

Citations