Investigation into the Mechanism of the Impact of Sunlight Exposure Area of Urban Artificial Structures and Human Activities on Land Surface Temperature Based on Point of Interest Data DOI Creative Commons
Yu-Chen Wang, Yu Zhang, Nan Ding

et al.

Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1879 - 1879

Published: Nov. 10, 2024

With rapid urbanization, the urban heat island (UHI) effect has intensified, posing challenges to human health and ecosystems. This study explores impact of sunlight exposure areas artificial structures activities on land surface temperature (LST) in Hefei Xuzhou, using Landsat 9 data, Google imagery, nighttime light Point Interest (POI) data. Building shadow distributions road were derived, geospatial analysis methods applied assess their LST. The results indicate that roofs roads are primary factors affecting LST, with a more pronounced while anthropogenic plays prominent role Hefei. influence building facades is relatively weak, population density shows limited geographical detector model reveals interactions between roof key drivers LST increases. Based these findings, planning should focus optimizing layouts heights, enhancing greening roads, reducing structures. Additionally, strategically utilizing shadows minimizing emissions can help lower local temperatures improve thermal environment.

Language: Английский

Impacts of Land Use Characteristics on Extreme Heat Events: Insights from Explainable Machine Learning Model DOI
Hangying Su, Zhuoxu Qi,

Q. Wang

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106139 - 106139

Published: Jan. 1, 2025

Language: Английский

Citations

5
Integrating morphology and vitality to quantify seasonal contributions of urban functional zones to thermal environment DOI
Lei Wang, Ruonan Li,

Jia Jia

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106136 - 106136

Published: Jan. 1, 2025

Language: Английский

Citations

1
Influence of urban functional zone change on land surface temperature using multi-source geospatial data: A case study in Nanjing City, China DOI
Hong Fang, Shanchuan Guo, Cheng‐Han Yang

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 105874 - 105874

Published: Oct. 1, 2024

Language: Английский

Citations

5
Inter- and intra-LCZ thermal heterogeneity: The dominant role of external environments in shaping local land surface temperature DOI
Xinlu Lin, Xu Lin, Chao Yan

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106188 - 106188

Published: Feb. 1, 2025

Language: Английский

Citations

0
Quantifying the nonlinear and interactive effects of urban form on resilience to extreme precipitation: Evidence from 192 cities of Southern China DOI
Wenrui Wang, Yang Wang, Chen Shen

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106366 - 106366

Published: April 1, 2025

Language: Английский

Citations

0
Combined effects of building and tree on the diurnal thermal environment in urban functional zones from 2D and 3D perspectives DOI
Qi Deng, Miaomiao Xie, Yanqiu Chen

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown

Published: May 1, 2025

Language: Английский

Citations

0
Exploring the Configurational Relationships between Urban Heat Island Patterns and the Built Environment: A Case Study of Beijing DOI Creative Commons
Jing Xu, Yihui Liu,

Jianfei Cao

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(10), P. 1200 - 1200

Published: Oct. 8, 2024

The spatial heterogeneity of land surface temperature (LST) within cities is profoundly influenced by the built environment. Although significant progress has been made in study urban thermal environment, there still a lack research on how pattern and structural layout environment affects In this study, we take Fifth Ring Road Beijing as an example, invert LST basis multisource data, characterize use k-means cluster analysis to investigate main influencing factors different functional areas building patterns city, well relationship between LST. results show following: (1) heat island (UHI) effect occurs varying degrees over large part area, these UHI are mainly concentrated southwestern forming contiguous area second fifth ring roads. (2) Class 1 dominated transport blocks, 3 commercial 5 green space with clustering index 0.38. (3) high-density, high-height class (HH-Class 2) greater number blocks distributed shape around periphery road. low-height (HL-Class relatively small but largest located western area. (4) HH HL patterns, extreme scenarios often occur; from perspective areas, probability block much higher than that other except for scenario, plays very important role reducing temperature. This explores characteristics influence zones provide decision support quantitative territorial planning, optimization, management.

Language: Английский

Citations

3
Impact Mechanisms of 2D and 3D Spatial Morphologies on Urban Thermal Environment in High-Density Urban Blocks: A Case Study of Beijing's Core Area DOI

Guo Jin Tang,

Xintong Du,

Siyuan Wang

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106285 - 106285

Published: March 1, 2025

Language: Английский

Citations

0
Diurnal Variation Reveals the Characteristics and Influencing Factors of Cool Island Effects in Urban Blue-Green Spaces DOI Open Access
Ruixue Kong,

Yaqi Chu,

Yuanman Hu

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(12), P. 2115 - 2115

Published: Nov. 29, 2024

Urban blue-green space cooling island effect (BGCI) is effective in improving the thermal comfort of residents. However, there little knowledge regarding diurnal variation BGCIs and influencing factors. Therefore, we selected Beijing as study area used ECOSTRESS LST data inflection–maximum perspective method to explore BGCIs. Additionally, investigated variations relative influence characteristics itself, well surrounding 2D 3D landscape metrics using boosted regression tree model. The results indicated that displayed distinct patterns. progressively increased from sunrise midday, decreased thereafter sunset, reached its peak around diminished a relatively low level constant intensity at night. water bodies exhibited significantly higher compared vegetation during day, particularly with difference mean (CI) 1.06 °C distance (CD) 63.27 m, while differences were minimal night CI 0.02 CD 9.64 m. features had more significant impact on midday (CI: 32.30% 13.86% night), influenced 26.40% 35.81% night). greater (52.87% 10.46% playing important role (15.56% 38.28% height, shape index vegetation, building coverage ratio opposite trends Optimizing spaces cost-effective than themselves for nighttime comfort, especially urban landscapes. These findings emphasize imperative essentiality exploring BGCIs, providing valuable information mitigating UHI effects.

Language: Английский

Citations

2
Investigation into the Mechanism of the Impact of Sunlight Exposure Area of Urban Artificial Structures and Human Activities on Land Surface Temperature Based on Point of Interest Data DOI Creative Commons
Yu-Chen Wang, Yu Zhang, Nan Ding

et al.

Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1879 - 1879

Published: Nov. 10, 2024

With rapid urbanization, the urban heat island (UHI) effect has intensified, posing challenges to human health and ecosystems. This study explores impact of sunlight exposure areas artificial structures activities on land surface temperature (LST) in Hefei Xuzhou, using Landsat 9 data, Google imagery, nighttime light Point Interest (POI) data. Building shadow distributions road were derived, geospatial analysis methods applied assess their LST. The results indicate that roofs roads are primary factors affecting LST, with a more pronounced while anthropogenic plays prominent role Hefei. influence building facades is relatively weak, population density shows limited geographical detector model reveals interactions between roof key drivers LST increases. Based these findings, planning should focus optimizing layouts heights, enhancing greening roads, reducing structures. Additionally, strategically utilizing shadows minimizing emissions can help lower local temperatures improve thermal environment.

Language: Английский

Citations

0