Multifactorial influences on land surface temperature within local climate zones of typical global cities DOI
Liping Zhang, Liang Zhou, Bo Yuan

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 57, P. 102130 - 102130

Published: Sept. 1, 2024

Language: Английский

Performance-based urban ventilation corridor for actual achievement of environmental benefits DOI
Mingqiang Yin, Bao‐Jie He

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112536 - 112536

Published: Jan. 1, 2025

Language: Английский

Citations

0

Leveraging machine learning to explore nonlinear associations between urban heat vulnerability and morbidity risk DOI
Jiaming Yang,

Zhaomin Tong,

Jiwei Xu

et al.

Urban Climate, Journal Year: 2025, Volume and Issue: 59, P. 102320 - 102320

Published: Jan. 30, 2025

Language: Английский

Citations

0

Exploring the seasonal impact of photovoltaic roofs on urban land surface temperature under different urban spatial forms DOI

Zhan Pan,

Lefeng Zhang,

Lihui Dong

et al.

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 122724 - 122724

Published: Feb. 1, 2025

Language: Английский

Citations

0

Identification and cooling effect analysis of urban ventilation corridors in coastal hilly cities: A case study of Shenzhen DOI

Qijin Guo,

Yaoyu Lin, Xiaojun Zhang

et al.

Urban Climate, Journal Year: 2025, Volume and Issue: 61, P. 102393 - 102393

Published: March 25, 2025

Language: Английский

Citations

0

A theoretical framework for identifying ventilation corridors in megacity building clusters using coupled least-cost path and A* algorithms DOI

Kai Jia,

Liang Zhou, Hong Gao

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: 276, P. 112890 - 112890

Published: March 29, 2025

Language: Английский

Citations

0

Inferring the heterogeneous effect of urban land use on building height with causal machine learning DOI Creative Commons
Yimin Chen, Jing M. Chen,

Shuai Zhao

et al.

GIScience & Remote Sensing, Journal Year: 2024, Volume and Issue: 61(1)

Published: Feb. 25, 2024

Machine learning has become an important approach for land use change modeling. However, conventional machine algorithms are limited in their ability to capture causal relationships change, which knowledge planners and decision makers. In this study, we showcase the usefulness of understand heterogeneous effect changing on building height through a case study Shenzhen, China. Also, by leveraging power learning, identify key conditions under greater would occur after interventions. The results suggest that increase 3.68 floors 1.61 average if industrial is converted residential commercial, respectively, 2.35 commercial changed land. heterogeneity also captured different scenarios. factor analysis based tree algorithm reveals use. Overall, can contribute literature providing effective counterfactual modeling with enhanced explainability.

Language: Английский

Citations

3

Evaluating the Impact of Road Layout Patterns on Pedestrian-Level Ventilation Using Computational Fluid Dynamics (CFD) DOI Creative Commons
Zhenxing Li, Han Bao-qiang,

Yaqi Chu

et al.

Atmosphere, Journal Year: 2025, Volume and Issue: 16(2), P. 123 - 123

Published: Jan. 23, 2025

The development of new energy vehicles and road dust removal technologies presents opportunities for constructing urban ventilation systems based on patterns. However, the impact system layouts pedestrian-level wind environments remains insufficiently understood. This study utilizes general-purpose CFD software Phoenics to analyze effects orientation, width, density, intersection configurations block ventilation. standard k-ε model three-dimensional steady-state RANS equations are employed calculate mean air age as an indicator efficiency. Grid convergence analysis validation against previous tunnel measurements were conducted. Results show that influence overall efficiency by affecting airflow volume, direction, velocity. Optimal occurs when orientation aligns with prevailing at 0° or exceeds 70°. Recommended widths trunk, secondary, local roads 46 m, 30 18 respectively. Lower densities enhance ventilation, while higher trunk secondary beneficial. Intersection distribution, windward segments aiding lateral side roads. Finally, design strategies proposed, offering potential leveraging networks construct efficient systems.

Language: Английский

Citations

0

Combined effects of urban morphology on land surface temperature and PM2.5 concentration across fine-scale urban blocks in Hangzhou, China DOI
Xin Chen, Fang Wei

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112979 - 112979

Published: April 1, 2025

Language: Английский

Citations

0

Dynamic multi-scale effect of urban spatial form on PM 2.5 concentrations in different climate zones of China DOI

Yuqiu Jia,

Meixia Lin,

Huishi Du

et al.

International Journal of Sustainable Development & World Ecology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 20

Published: May 7, 2025

Language: Английский

Citations

0

Local climate effects of urban wind corridors in Beijing DOI Creative Commons
Liu Y,

Chunyi Xuan,

Yongming Xu

et al.

Urban Climate, Journal Year: 2022, Volume and Issue: 43, P. 101181 - 101181

Published: May 1, 2022

Based on a summer observational experiment and the meteorological data from 2009 to 2018, this paper investigated local climate effects of representative 1 Level One 2 Two wind corridors (LOC LTCs, respectively) in central urban area (CUA) Beijing by introducing speed ratio (WsR) heat island (UHI) intensity indices. In addition, impacts ventilation 8 spatial landscape parameters were analyzed. The results indicated that LOC LTCs have significant benefit certain UHI mitigation varying with season, day night weather,which able accelerate winds when speeds exceed 0.57 m/s 0.75 m/s, respectively. most important influencing capability frontal index roughness length. multiyear average WsRs 57% 31% higher than CUA, reduction did not occur along whole corridor or throughout day. maximum seasonal mean during daytime nighttime 0.89 °C °C, mainly reduced 0.30 °C.

Language: Английский

Citations

16