Homogeneity and heterogeneity of diurnal and nocturnal hotspots and the implications for synergetic mitigation in heat-resilient urban planning DOI
Huimin Liu, Miao Li, Qingming Zhan

и другие.

Computers Environment and Urban Systems, Год журнала: 2024, Номер 117, С. 102241 - 102241

Опубликована: Дек. 14, 2024

Язык: Английский

Direct and indirect impacts of land use/cover change on urban heat environment: a 15-year panel data study across 365 Chinese cities during summer daytime and nighttime DOI Creative Commons
Tong He,

Nan Wang,

Jiayue Chen

и другие.

Landscape Ecology, Год журнала: 2024, Номер 39(3)

Опубликована: Март 6, 2024

Abstract Context Land use/cover change (LUCC) can directly and indirectly affect surface urban heat island intensity (SUHII) the effects need to be decomposed. Objectives To perform long-term trend analyses of contribution indexes (CIs) land use types environment in cities deconstruct direct indirect LUCC on SUHII within geographical regions. Methods Mann–Kendall test Sen’s slope were used examine trends CIs 365 during summer 2005–2019. Structural equation models established quantify types’ six regions China. Results First, 78.08% 73.70% Chinese increased daytime nighttime, respectively. Second, CI built-up significantly across more than half all Third, not exerted both SUHII. At daytime, cropland (direct) was dominant factor East China (1.386), South-central (− 0.637), Northwest 0.399) water bodies (both indirect) (0.506) Northeast (0.697) while determined North (0.476). Conclusions Separation had practical implications for optimize structures functions ecosystems take regionally based actions improving environment.

Язык: Английский

Процитировано

13

How do driving factors affect the diurnal variation of land surface temperature across different urban functional blocks? A case study of Xi'an, China DOI
Kaixu Zhao,

Ning Ze-kui,

Xu Chen

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 114, С. 105738 - 105738

Опубликована: Авг. 10, 2024

Язык: Английский

Процитировано

10

Characterizing the seasonal relationships between urban heat island and surface energy balance fluxes considering the impact of three-dimensional urban morphology DOI
Zhongli Lin, Hanqiu Xu,

Xisheng Hu

и другие.

Building and Environment, Год журнала: 2024, Номер 265, С. 112017 - 112017

Опубликована: Авг. 26, 2024

Язык: Английский

Процитировано

10

The impact of urban morphology on land surface temperature under seasonal and diurnal variations: marginal and interaction effects DOI

Zi Wang,

Rui Zhou, Yu Yang

и другие.

Building and Environment, Год журнала: 2025, Номер unknown, С. 112673 - 112673

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

2

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

Jia Jia

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106136 - 106136

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Evaluating the seasonal effects of building form and street view indicators on street-level land surface temperature using random forest regression DOI
Keyan Chen,

Meng Tian,

Jianfeng Zhang

и другие.

Building and Environment, Год журнала: 2023, Номер 245, С. 110884 - 110884

Опубликована: Сен. 28, 2023

Язык: Английский

Процитировано

22

How to expand the cooling capacity of blue and green spaces in peri-urban areas throughout the entire diurnal cycle: Evidence from an inland multilake city DOI
Wei Ding, Mengyang Liu, Yunni Wu

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 444, С. 141165 - 141165

Опубликована: Фев. 12, 2024

Язык: Английский

Процитировано

8

Nonlinear effects of urban multidimensional characteristics on daytime and nighttime land surface temperature in highly urbanized regions: A case study in Beijing, China DOI Creative Commons
Wenxiu Liu, Linlin Zhang,

Xinli Hu

и другие.

International Journal of Applied Earth Observation and Geoinformation, Год журнала: 2024, Номер 132, С. 104067 - 104067

Опубликована: Авг. 1, 2024

It is crucial to clarify the nonlinear effects of urban multidimensional characteristics on land surface temperature (LST). However, combined consideration green space (UGS), water bodies, buildings, and socio-economic factors limited. And diurnal differences in their thermal have been less considered. In this study, central Beijing was taken as study area. Local climate zones (LCZ) were firstly applied reveal spatiotemporal heterogeneity LST. Then, interpretable machine learning methods utilized quantitatively characteristics, i.e., UGS, building landscape features, features. The results indicated that built type LCZs a higher average LST compared natural LCZs. simultaneously influenced by buildings' density height characteristics. Daytime mainly affected proportions trees, while nighttime more key exhibit Whether during day or night, impact coverage greater than height, consistently exhibiting warming effect. While, body edge both exhibited reversal trend between night. Our also emphasized importance trees UGS provided recommendations for planning based sensitivity contribution considerations. These findings can help regulate promote sustainable development.

Язык: Английский

Процитировано

8

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

Процитировано

1

A new framework quantifying the effect of morphological features on urban temperatures DOI
Fengxiang Guo, Uwe Schlink, Wanben Wu

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 99, С. 104923 - 104923

Опубликована: Сен. 9, 2023

Язык: Английский

Процитировано

17