Construction of a composite cooling network for the mitigation of urban heat risk in Fuzhou DOI Creative Commons
Haibo Xu, Jianfeng Yang, Yan Lin

et al.

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: Dec. 9, 2024

Climate change has intensified urban heat risks through extreme and island effects. Using Fuzhou as a case study, we conducted assessments of risk cool quality to identify core sources (CHRSs) cold (CCSs). Based on the degree resistance surface transfer, constructed comprehensive surface. This was followed by construction composite cooling network using minimal cumulative circuit theory models, along with identification key nodes enhance protection resources ensure stability. Our findings revealed that central area had highest risk, eastern coastal areas, showing trend further expansion towards southeastern coast. Relatively high-quality were distributed in western mountainous area. We identified 21 CHRSs 32 CCSs. The included 94 transport corridors 96 synergy corridors, 148 78 barrier nodes. average land temperature 27.89°C 25.34°C, respectively, significantly lower than high-risk areas (31.14°C). Transport enable transfer from CCSs, while can achieve enhancing among islands.

Language: Английский

Towards multi-scale and context-specific heat health risk assessment - A systematic review DOI
Jiaxing Ye, Feng Yang

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: 119, P. 106102 - 106102

Published: Jan. 5, 2025

Language: Английский

Citations

3

Thermal hazards in urban spaces: A review of climate-resilient planning and design to reduce the heat stress DOI
Aman Gupta, Bhaskar De,

Sutapa Das

et al.

Urban Climate, Journal Year: 2025, Volume and Issue: 59, P. 102296 - 102296

Published: Jan. 25, 2025

Language: Английский

Citations

2

Assessing urban surface thermal environment and heat health risk in Chinese cities: A twenty-year study DOI
Chunxiao Zhang, Yang Yang, Le Yu

et al.

Urban Climate, Journal Year: 2025, Volume and Issue: 59, P. 102304 - 102304

Published: Jan. 27, 2025

Language: Английский

Citations

2

Spatial Differentiation in Urban Thermal Environment Pattern from the Perspective of the Local Climate Zoning System: A Case Study of Zhengzhou City, China DOI Creative Commons
Jinghu Pan,

Bo Yu,

Yingbiao Zhi

et al.

Atmosphere, Journal Year: 2025, Volume and Issue: 16(1), P. 40 - 40

Published: Jan. 2, 2025

In order to assess the spatial and temporal characteristics of urban thermal environment in Zhengzhou City supplement climate adaptation design work, based on Landsat 8–9 OLI/TIRS C2 L2 data for 12 periods from 2019–2023, combined with lLocal zone (LCZ) classification subsurface classification, this study, we used statistical mono-window (SMW) algorithm invert land surface temperature (LST) classify heat island (UHI) effect, analyze differences distribution environments areas aggregation characteristics, explore influence LCZ landscape pattern temperature. The results show that proportions built natural types Zhengzhou’s main metropolitan area are 79.23% 21.77%, respectively. most common landscapes wide mid-rise (LCZ 5) structures large-ground-floor 8) structures, which make up 21.92% 20.04% study area’s total area, varies seasons, pooling during summer peaking winter, strong or extremely islands centered suburbs a hot cold spots aggregated observable features. As building heights increase, UHI 1–6) increases then reduces spring, summer, autumn decreases winter as increase. Water bodies G) dense woods A) have lowest effects among settings. Building size is no longer primary element affecting LST buildings become taller; instead, connectivity clustering take center stage. Seasonal variations, variations types, responsible area. should see an increase vegetation cover, gaps must be appropriately increased.

Language: Английский

Citations

1

Spatio-temporal Analysis of LST, NDVI and SUHI in a Coastal Temperate City using Local Climate Zone DOI Creative Commons
Tania Sharmin, Adrian Chappell, Simon Lannon

et al.

Energy and Built Environment, Journal Year: 2024, Volume and Issue: unknown

Published: June 1, 2024

Extreme heat due to changing climate poses a new challenge for temperate climates. The is further aggravated by inadequate research, policy, or preparedness effectively respond and recover from its impacts. While urban morphology plays crucial role in mitigating heat, it has received limited attention planning, highlighting the need exploration, particularly regions. To illustrate potential mitigations, we use example of coastal city Cardiff. establish interrelations between island patterns, explored spatiotemporal variations land surface temperature (LST), normalised difference vegetation index (NDVI), (SUHI) local zone (LCZ) classification Results showed significant variation SUHI LCZ zones. Both LST NDVI were found vary significantly across zones demonstrating their association with form locality. For built-up areas, more compact built-environment smaller cover larger building density was 2.0°C warmer than open when comparing mean summer LSTs. On average, natural classes exhibit that 8.0°C lower 6.0°C built-environment. Consequently, high-density, LCZs have greater effect compared classes. Therefore, cities will benefit incorporating an sufficient greenery spaces. These findings help determine optimal climates develop mitigation strategies while designing, improving existing areas. In addition, map applied this study Cardiff enable international comparison testing proven change adaptation techniques similar

Language: Английский

Citations

5

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

Detecting the Changing Impact of Urbanisation on Urban Heat Islands in a Tropical Megacity Using Local Climate Zones DOI Creative Commons
Tania Sharmin, Adrian Chappell

Energy and Built Environment, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

0

Urban heat health risk inequality and its drivers based on Local Climate Zones: A case study of Qingdao, China DOI
Fei Guo,

Gao-Ming Fan,

Jun Zhao

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112827 - 112827

Published: March 1, 2025

Language: Английский

Citations

0

Mapping Heat Vulnerability in Australian Capital Cities: A Machine Learning and Multi-Source Data Analysis DOI Creative Commons
Fei Li, Tan Yiğitcanlar, Madhav Prasad Nepal

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 106079 - 106079

Published: Dec. 1, 2024

Language: Английский

Citations

3

Assessment of Fine-Scale Urban Heat Health Risk and Its Potential Driving Factors Based on Local Climate Zones in Shenzhen, China DOI Creative Commons

Riguga Su,

Chaobin Yang, Zhibo Xu

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2024, Volume and Issue: 13(10), P. 367 - 367

Published: Oct. 18, 2024

Cities are facing increased heat-related health risks (HHRs) due to the combined effects of global warming and rapid urbanization. However, few studies have focused on HHR assessment based fine-scale information. Moreover, most only analyze spatial patterns do not explore potential driving factors. In this study, we estimated HHRs “hazard–exposure–vulnerability” framework by using multisource data, including modified thermal–humidity index (MTHI), population density, land cover. Then, variations in among different local climate zones (LCZs) at fine scale were analyzed detail. Finally, compared contributions LCZs types cover their three components multiple linear regression models. The results indicate that pattern was from those individual components, high-hazard regions mean high HHRs. There huge LCZs. built-up typically had much higher than natural ones, with compact severe risk. LCZ 6 (open low-rise buildings) a relatively low should be paid more attention future urban planning. Compared LCZs, covers better explained HHR. contrast, predicted surface temperatures. both made slight heat exposure vulnerability. Furthermore, manmade buildings impervious areas contributed covers. Therefore, arrangement is worthy further investigation perspective mitigation.

Language: Английский

Citations

2