Urban heat islands and energy consumption patterns: Evaluating renewable energy strategies for a sustainable future DOI
Muhammad Khalid Anser, Abdelmohsen A. Nassani,

Khalid M. Al-Aiban

et al.

Energy Reports, Journal Year: 2025, Volume and Issue: 13, P. 3760 - 3772

Published: March 27, 2025

Language: Английский

The Impacts and Thresholds Detection of 2D/3D Urban Morphology on the Heat Island Effects at the Functional Zone in Megacity during Heatwave Event DOI
Yicong Chen,

Weibo Ma,

Yamei Shao

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106002 - 106002

Published: Nov. 1, 2024

Language: Английский

Citations

6
Seasonal analysis of land surface temperature using local climate zones in peak forest basin topography: A case study of Guilin DOI Open Access
Nan Mo, Jie Han,

Yingde Yin

et al.

Building and Environment, Journal Year: 2023, Volume and Issue: 247, P. 111042 - 111042

Published: Nov. 20, 2023

Language: Английский

Citations

12
Impacts of spatial explanatory variables on surface urban heat island intensity between urban and suburban regions in China DOI Creative Commons
Xuecao Li,

Shirao Liu,

Qiwei Ma

et al.

International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1)

Published: Jan. 16, 2024

The intensified thermal environment in suburban areas is raising wide concerns for human society and public health due to rapid urbanization. Although the satellite-derived surface urban heat island intensity (SUHII) a commonly used indicator, it still needs be determined SUHII between challenges delineating their boundaries with changes. Thus, comprehensive analysis of spatial explanatory variables (SEVs) among highly needed. Here, using long-term satellite observations, we analyzed spatiotemporal patterns different temporal intervals (i.e. seasonal diurnal) contribution SEVs areas. Our results indicate that shows predominantly increasing trend from 2012–2021 cities China. Despite trends increasing/decreasing) being relatively consistent both suburban, latter higher proportion regarding various SEVs. Besides, partial least squares regression (PLSR) model major contributors are landscape shape index (LSI), patch density (PD), digital elevation (DEM), while areas, those critical LSI, normalized difference built-up (NDBI), DEM. These findings can facilitate sustainable design planning nature-based solution.

Language: Английский

Citations

4
Drivers of long-term changes in summer compound hot extremes in China: Climate change, urbanization, and vegetation greening DOI
Peng Ji, Xing Yuan, Feng Ma

et al.

Atmospheric Research, Journal Year: 2024, Volume and Issue: 310, P. 107632 - 107632

Published: Aug. 13, 2024

Language: Английский

Citations

4
Assessing Urban Morphology's Impact on Solar Potential of High-Rise Facades in Hong Kong Using Machine Learning: An Application for FIPV Optimization DOI
Lulu Tao, Mengmeng Wang, Changying Xiang

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 117, P. 105978 - 105978

Published: Nov. 13, 2024

Language: Английский

Citations

4
Urban Heat Islands in the Urban Built Environment: Quantifying the Spatial Patterns of UHIs Intensity in Oslo, Norway, Using High-Resolution Crowdsourced Weather Observations DOI Creative Commons
Joanna Badach, Guilherme B. A. Coelho, Dimitrios Kraniotis

et al.

Lecture notes in civil engineering, Journal Year: 2025, Volume and Issue: unknown, P. 1063 - 1074

Published: Jan. 1, 2025

Language: Английский

Citations

0
Modelling and visualization behavior simulation in public open spaces based on MLP and SFM DOI

Chunxia Yang,

Mengxuan Liu,

Zhaoxiang Fan

et al.

Simulation Modelling Practice and Theory, Journal Year: 2025, Volume and Issue: 140, P. 103076 - 103076

Published: Jan. 12, 2025

Language: Английский

Citations

0
Unveiling Differential Impacts of Multidimensional Urban Morphology on Heat Island Effect Across Local Climate Zones: Interpretable CatBoost-SHAP Machine Learning Model DOI
Qiqi Liu,

Hang Tian,

Yunfei Wu

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112574 - 112574

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
Impacts of Vertical Greenery on Outdoor Thermal Comfort and Carbon Emission Reduction at the Urban Scale in Turin, Italy DOI Creative Commons

Amir Dehghan Lotfabad,

Seyed Morteza Hosseini, Paolo Dabove

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(3), P. 450 - 450

Published: Jan. 31, 2025

Urban heat islands (UHIs) increase urban warming and reduce outdoor thermal comfort due to changing surface characteristics climate change. This study investigates the role of green walls (GWs) in mitigating UHI, improving comfort, reducing carbon emissions under current future (2050) scenarios. Focusing on Via della Consolata, Turin, Italy, combines remote sensing for UHI detection numerical simulations analysis during seasonal extremes. The results show that GWs slightly air temperatures, with a maximum decrease 1.6 °C winter (2050), have cooling effects mean radiant temperature (up 2.27 °C) peak summer solar radiation. also improve Universal Thermal Climate Index by 0.55 2050. energy shows emission intensity is reduced 31%, despite heating demand increasing 45%. highlights potential adaptation, particularly dense environments low sky view factors. Seasonal optimization crucial balance demand. As cities face rising temperatures waves, integration offers sustainable strategy microclimate, emissions, mitigate UHI.

Language: Английский

Citations

0