Urban Heat Island Differentiation and Influencing Factors: A Local Climate Zone Perspective DOI Open Access
Shunbin Ning, Yuan Zhou, Manlin Wang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(20), P. 9103 - 9103

Published: Oct. 21, 2024

With the acceleration of urbanization, urban heat island (UHI) effect has become a major environmental challenge, severely affecting quality life residents and ecological environment. Quantitative analysis factors influencing intensity (UHII) is crucial for precise planning. Although extensive research investigated causes UHI effects their spatial variability, most studies focus on macro-scale analyses, overlooking heterogeneity thermal characteristics within local climate zones (LCZs) under rapid urbanization. To address this gap, study took central area Chengdu, constructing LCZ map using multisource remote sensing data. Moran’s Index was employed to analyze clustering across different LCZs. By Ordinary Least Squares (OLS) Geographically Weighted Regression (GWR) models, further explored these zones. The results showed that: (1) Chengdu’s built natural environments had comparable proportions, with scattered building zone comprising highest proportion at 22.12% in environment, low vegetation accounting 21.8% UHII values ranged from 10.2 °C −1.58 °C, based specific measurement conditions. Since varied meteorological conditions, time, seasons, selection rural reference points, represented dynamic during period were not constant. (2) morphology exhibited significant heterogeneity, global I index 0.734, indicating high degree correlation. value found impervious surfaces (0.776), while lowest floor ratio (0.176). (3) GWR model demonstrated greater explanatory power compared OLS model, fit 0.827. impact morphological significantly environments, substantial difference observed sky view factor, which standard deviation 13.639. findings provide recommendations planning, aiming mitigate enhance residents.

Language: Английский

Optimizing pedestrian thermal comfort in urban street canyons for summer and winter: Tree planting or low-albedo pavements? DOI
Tailong Zhang,

Xiaotong Fu,

Feng Qi

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: 120, P. 106143 - 106143

Published: Jan. 12, 2025

Language: Английский

Citations

1

Urbanization-driven and intercity interaction-induced warming effects in the Beijing-Tianjin-Hebei urban agglomeration: A comparison of heatwave and non-heatwave scenarios DOI

Zhi Qiao,

Qikun Wei,

Huan Gao

et al.

Applied Geography, Journal Year: 2025, Volume and Issue: 177, P. 103561 - 103561

Published: Feb. 16, 2025

Language: Английский

Citations

1

Exploring the seasonal impacts of morphological spatial pattern of green spaces on the urban heat island DOI

Jialong Xu,

Jin Yingying,

Yun Ling

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106352 - 106352

Published: April 1, 2025

Language: Английский

Citations

1

Synergistic Governance of Urban Heat Islands, Energy Consumption, Carbon Emissions, and Air Pollution in China: Evidence from a Spatial Durbin Model DOI
Ting Wu,

Zhi Qiao

Environmental Pollution, Journal Year: 2025, Volume and Issue: unknown, P. 126025 - 126025

Published: March 1, 2025

Language: Английский

Citations

0

Addressing the heat exposure risk shift towards new towns and rural areas: Potential strategies inspired by the heat network resilience DOI

Zhenguo Wang,

Guofu Yang, Hao Chen

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112592 - 112592

Published: Jan. 1, 2025

Language: Английский

Citations

0

Research on urban thermal environment differentiation based on functional zones------take four districts of Dalian as an example DOI
Xiaohui Zhang, Xueming Li, He Liu

et al.

Urban Climate, Journal Year: 2024, Volume and Issue: 58, P. 102152 - 102152

Published: Oct. 12, 2024

Language: Английский

Citations

2

A Downscaling Framework with WRF-UCM and LES/RANS Models for Urban Microclimate Simulation Strategy: Validation Through Both Measurement and Mechanism Model DOI
Jiawen Liu,

Huan Gao,

Ruoyu Jia

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 112361 - 112361

Published: Nov. 1, 2024

Language: Английский

Citations

2

Urban Heat Island Differentiation and Influencing Factors: A Local Climate Zone Perspective DOI Open Access
Shunbin Ning, Yuan Zhou, Manlin Wang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(20), P. 9103 - 9103

Published: Oct. 21, 2024

With the acceleration of urbanization, urban heat island (UHI) effect has become a major environmental challenge, severely affecting quality life residents and ecological environment. Quantitative analysis factors influencing intensity (UHII) is crucial for precise planning. Although extensive research investigated causes UHI effects their spatial variability, most studies focus on macro-scale analyses, overlooking heterogeneity thermal characteristics within local climate zones (LCZs) under rapid urbanization. To address this gap, study took central area Chengdu, constructing LCZ map using multisource remote sensing data. Moran’s Index was employed to analyze clustering across different LCZs. By Ordinary Least Squares (OLS) Geographically Weighted Regression (GWR) models, further explored these zones. The results showed that: (1) Chengdu’s built natural environments had comparable proportions, with scattered building zone comprising highest proportion at 22.12% in environment, low vegetation accounting 21.8% UHII values ranged from 10.2 °C −1.58 °C, based specific measurement conditions. Since varied meteorological conditions, time, seasons, selection rural reference points, represented dynamic during period were not constant. (2) morphology exhibited significant heterogeneity, global I index 0.734, indicating high degree correlation. value found impervious surfaces (0.776), while lowest floor ratio (0.176). (3) GWR model demonstrated greater explanatory power compared OLS model, fit 0.827. impact morphological significantly environments, substantial difference observed sky view factor, which standard deviation 13.639. findings provide recommendations planning, aiming mitigate enhance residents.

Language: Английский

Citations

0