Mapping urban green equity and analysing its impacted mechanisms: A novel approach DOI
Yuchi Cao, Yan Li,

Shouyun Shen

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 101, С. 105071 - 105071

Опубликована: Ноя. 21, 2023

Язык: Английский

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

62

Machine learning in modelling the urban thermal field variance index and assessing the impacts of urban land expansion on seasonal thermal environment DOI
Maomao Zhang,

Shukui Tan,

Cheng Zhang

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 106, С. 105345 - 105345

Опубликована: Март 14, 2024

Язык: Английский

Процитировано

56

Exploring the relationship between thermal environmental factors and land surface temperature of a “furnace city” based on local climate zones DOI
Zhongli Lin, Hanqiu Xu, Xiong Yao

и другие.

Building and Environment, Год журнала: 2023, Номер 243, С. 110732 - 110732

Опубликована: Авг. 14, 2023

Язык: Английский

Процитировано

46

Day and night: Impact of 2D/3D urban features on land surface temperature and their spatiotemporal non-stationary relationships in urban building spaces DOI
Zhongli Lin, Hanqiu Xu,

Luyao Han

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 108, С. 105507 - 105507

Опубликована: Май 6, 2024

Язык: Английский

Процитировано

27

How does urban thermal environmental factors impact diurnal cycle of land surface temperature? A multi-dimensional and multi-granularity perspective DOI
Zhongli Lin, Hanqiu Xu, Xiong Yao

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 101, С. 105190 - 105190

Опубликована: Янв. 10, 2024

Язык: Английский

Процитировано

26

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

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

Exploring the diurnal variations of the driving factors affecting block-based LST in a “Furnace city” using ECOSTRESS thermal imaging DOI
Xiong Yao,

Xianjun Zeng,

Zhipeng Zhu

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 98, С. 104841 - 104841

Опубликована: Июль 30, 2023

Язык: Английский

Процитировано

27

Quantifying the main and interactive effects of the dominant factors on the diurnal cycles of land surface temperature in typical urban functional zones DOI
Jike Chen, Kaixin Wang, Peijun Du

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 114, С. 105727 - 105727

Опубликована: Авг. 13, 2024

Язык: Английский

Процитировано

17

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