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

и другие.

Land, Год журнала: 2024, Номер 13(11), С. 1879 - 1879

Опубликована: Ноя. 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.

Язык: Английский

How to classify microclimates more validly and finely? A novel method for mapping local climate zone (LCZ) on micro-scales DOI
Mengsheng Yang, Yuan Li, Yanan Du

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер 120, С. 106165 - 106165

Опубликована: Янв. 24, 2025

Язык: Английский

Процитировано

0

Exploring the Effects of Urban Morphology and its Spatial Heterogeneity on Lst: A Quantitative Analysis of Seasonal and Diurnal Variations DOI

Yarui Wu,

Rui Li,

Hu Tian

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Modeling the Impacts of Land Cover Changes on Subtropical Urban Microclimate and Mitigation Strategies in the Context of Urbanization DOI

Zhihong Zhai,

Ying Zhang,

Xiaoyang Xiang

и другие.

Building and Environment, Год журнала: 2025, Номер unknown, С. 113064 - 113064

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Assessment of the impact of urban block morphological factors on carbon emissions introducing the different context of local climate zones DOI
Yuchen Qin, Jian Kang,

Haizhu Zhou

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 106073 - 106073

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

2

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

и другие.

Sustainability, Год журнала: 2024, Номер 16(20), С. 9103 - 9103

Опубликована: Окт. 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.

Язык: Английский

Процитировано

1

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

и другие.

Land, Год журнала: 2024, Номер 13(11), С. 1879 - 1879

Опубликована: Ноя. 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.

Язык: Английский

Процитировано

0