Temporal and spatial variations of urban surface temperature and correlation study of influencing factors DOI Creative Commons
Lei Ding, Xiao Xiao, Haitao Wang

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 6, 2025

Urban overheating significantly affects thermal comfort and livability, making it essential to understand the relationship between urban form land surface temperature (LST). While horizontal dimensions of have been widely studied, vertical structures their impact on LST remain underexplored. This study investigates influence three-dimensional characteristics LST, using ECOSTRESS sensor data four machine learning models. Six morphology variables—building density (BD), mean building height (MH), volume (BVD), gross floor area (GFA), ratio (FAR), sky view factor (SVF)—are analyzed across different seasons times day. The results reveal that MH, BD, FAR are season-stable factors, with higher MH correlated lower ((e.g., an observed reduction approximately 3 °C in spring), while BD is associated (e.g., increase about 3.5 autumn). In contrast, BVD, GFA, SVF season-varying factors variable impacts depending time year. Higher BVD generally elevated GFA linked LST. These associations reflect absolute changes measured directly from data. findings offer valuable insights into complex interactions helping inform strategies for heat mitigation sustainable planning.

Язык: Английский

Spatiotemporal heterogeneity of ecosystem service interactions and their drivers at different spatial scales in the Yellow River Basin DOI
Qi Liu, Jiajun Qiao, Mengjuan Li

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 908, С. 168486 - 168486

Опубликована: Ноя. 10, 2023

Язык: Английский

Процитировано

83

How do 2D/3D urban landscapes impact diurnal land surface temperature: Insights from block scale and machine learning algorithms DOI
Dongrui Han, Hongmin An, Hongyan Cai

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 99, С. 104933 - 104933

Опубликована: Сен. 12, 2023

Язык: Английский

Процитировано

59

Exploring the Nonlinear Interplay between Urban Morphology and Nighttime Thermal Environment DOI
Xinyue Gu,

Zhiqiang Wu,

Xintao Liu

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 101, С. 105176 - 105176

Опубликована: Янв. 5, 2024

Язык: Английский

Процитировано

33

Quantifying the impact of urban trees on land surface temperature in global cities DOI

Tingting He,

Yihua Hu, Andong Guo

и другие.

ISPRS Journal of Photogrammetry and Remote Sensing, Год журнала: 2024, Номер 210, С. 69 - 79

Опубликована: Март 12, 2024

Язык: Английский

Процитировано

19

How Urban Morphology Relates to the Urban Heat Island Effect: A Multi-Indicator Study DOI Open Access
Biao Liu, Guo Xian, Jie Jiang

и другие.

Sustainability, Год журнала: 2023, Номер 15(14), С. 10787 - 10787

Опубликована: Июль 10, 2023

Urban morphology quantitatively expresses a city’s spatial structure, internal relationships, and physical form. It has advantages for predicting urban growth analyzing the current state of cities in literature. A comprehensive study on complex relationships between heat island intensity (UHII) is great importance mitigating (UHI) effect megacities. This models morphological indicators fine resolution based three aspects: building morphology, ecological infrastructure, human activities. The model accurately captures UHII by employing definition UHI effects. relationship was further examined using extreme gradient boosting (XGBoost) Shapley additive explanations (SHAP). By taking central Beijing, China as area, major findings include following: (1) Significant daytime effects were observed within research particularly during summer months, when it appears to be most severe. More than 90% region experiences varying degrees (2) significantly correlated with both 2D 3D indicators. Low sky view factor (SVF) high SVF tend mitigate UHI, whereas moderate tends aggravate UHI. (3) In densely populated areas, tall trees may more effective other forms vegetation at Based aforementioned findings, this article suggests that optimization should focus seasonality, specificity, indicator specificity megacities design planning aimed

Язык: Английский

Процитировано

36

Scale-dependent and season-dependent impacts of 2D/3D building morphology on land surface temperature DOI
Fengxiang Guo, Uwe Schlink, Wanben Wu

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 97, С. 104788 - 104788

Опубликована: Июль 10, 2023

Язык: Английский

Процитировано

29

Understanding the nonlinear effects of the street canyon characteristics on human perceptions with street view images DOI Creative Commons
Jiwei Xu,

Qiangqiang Xiong,

Ying Jing

и другие.

Ecological Indicators, Год журнала: 2023, Номер 154, С. 110756 - 110756

Опубликована: Авг. 7, 2023

Human perceptions represent the psychological experiences and feelings of individuals toward surrounding environment. It is influenced by various physical elements (e.g., sky, tree, building, etc.) within street canyon. However, prior research has predominantly relied on field surveys, high-cost methods, restricted data sources, thereby limiting analyses impact canyon characteristics human perceptions. Importantly, nonlinear effects have not been fully understood existing studies. Thus, this study employed Baidu Street View images to evaluate at a visual level. A random forest regression was then utilized uncover The results suggested that some nonlinearly affected Specifically, optimal sky proportion individual 15%, appropriate thresholds for trees grass were 17.5% 1.0%, respectively. Overall, positive might be increased if natural canyons maintained below threshold. In addition, threshold observed in relation perception beauty due cars, vitality security roads, boredom walls. findings can serve as scientific evidence inform urban renewal based people-oriented approach.

Язык: Английский

Процитировано

25

Quantification and mapping of the cooling effect of urban parks on the temperate monsoon climate zone DOI

Ninghui Zhang,

Weina Zhen,

Donghui Shi

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 101, С. 105111 - 105111

Опубликована: Дек. 14, 2023

Язык: Английский

Процитировано

24

Spatial heterogeneity and driving mechanisms of carbon emissions in urban expansion areas: A research framework coupled with patterns and functions DOI
Xinhui Feng,

Sensen Wang,

Li Yan

и другие.

Land Use Policy, Год журнала: 2024, Номер 143, С. 107209 - 107209

Опубликована: Май 30, 2024

Язык: Английский

Процитировано

12

A WRF-UCM-SOLWEIG framework for mapping thermal comfort and quantifying urban climate drivers: Advancing spatial and temporal resolutions at city scale DOI
Xiaotian Ding, Yongling Zhao, Dominik Strebel

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 112, С. 105628 - 105628

Опубликована: Июнь 28, 2024

Язык: Английский

Процитировано

11