Computers Environment and Urban Systems, Год журнала: 2024, Номер 117, С. 102241 - 102241
Опубликована: Дек. 14, 2024
Язык: Английский
Computers Environment and Urban Systems, Год журнала: 2024, Номер 117, С. 102241 - 102241
Опубликована: Дек. 14, 2024
Язык: Английский
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
13Sustainable Cities and Society, Год журнала: 2024, Номер 114, С. 105738 - 105738
Опубликована: Авг. 10, 2024
Язык: Английский
Процитировано
10Building and Environment, Год журнала: 2024, Номер 265, С. 112017 - 112017
Опубликована: Авг. 26, 2024
Язык: Английский
Процитировано
10Building and Environment, Год журнала: 2025, Номер unknown, С. 112673 - 112673
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
2Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106136 - 106136
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1Building and Environment, Год журнала: 2023, Номер 245, С. 110884 - 110884
Опубликована: Сен. 28, 2023
Язык: Английский
Процитировано
22Journal of Cleaner Production, Год журнала: 2024, Номер 444, С. 141165 - 141165
Опубликована: Фев. 12, 2024
Язык: Английский
Процитировано
8International 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
8Scientific 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
1Sustainable Cities and Society, Год журнала: 2023, Номер 99, С. 104923 - 104923
Опубликована: Сен. 9, 2023
Язык: Английский
Процитировано
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