Understanding the relationship between 2D/3D variables and land surface temperature in plain and mountainous cities: Relative importance and interaction effects

Building and Environment, Год журнала: 2023, Номер 245, С. 110959 - 110959

Опубликована: Окт. 20, 2023

Язык: Английский

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Impact of urban renewal on urban heat island: Study of renewal processes and thermal effects

Sustainable Cities and Society, Год журнала: 2023, Номер 99, С. 104995 - 104995

Опубликована: Окт. 12, 2023

Язык: Английский

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Demographic disparity in diurnal surface urban Heat Island exposure across local climate zones: A case study of Chongqing, China

The Science of The Total Environment, Год журнала: 2024, Номер 923, С. 171203 - 171203

Опубликована: Фев. 28, 2024

Язык: Английский

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Unraveling nonlinear and spatial non-stationary effects of urban form on surface urban heat islands using explainable spatial machine learning

Computers Environment and Urban Systems, Год журнала: 2024, Номер 114, С. 102200 - 102200

Опубликована: Окт. 4, 2024

Язык: Английский

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Towards inclusive urbanism: An examination of urban environment strategies for enhancing social equity in Chengdu's housing zones

Sustainable Cities and Society, Год журнала: 2024, Номер 107, С. 105414 - 105414

Опубликована: Апрель 14, 2024

Язык: Английский

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The Mitigating Effect of Green Space's Spatial and Temporal Patterns on the Urban Heat Island in the Context of Urban Densification: A Case Study of Xi'an

Sustainable Cities and Society, Год журнала: 2024, Номер 117, С. 105974 - 105974

Опубликована: Ноя. 12, 2024

Язык: Английский

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Investigating 2D/3D factors influencing surface urban heat islands in mountainous cities using explainable machine learning

Urban Climate, Год журнала: 2025, Номер 59, С. 102325 - 102325

Опубликована: Янв. 30, 2025

Язык: Английский

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Examining supply and demand of cooling effect of blue and green spaces in mitigating urban heat island effects: A case study of the Fujian Delta urban agglomeration (FDUA), China

Ecological Indicators, Год журнала: 2022, Номер 142, С. 109187 - 109187

Опубликована: Июль 27, 2022

Blue and green spaces (BGSs) are used as the important resource to mitigate urban heat island (UHI) effect through their cooling effect. However, research on supply demand of BGSs is limited. This study Fujian Delta agglomeration China area. Based multi-source data, we constructed evaluation indicator system quantify capacity (CESC) level (CEDL), revealed law spatial distribution changes in CESC CEDL. Moreover, further analyzed correlation, matching state coupling coordination degree (CCD) between The results showed that (1) area, has a with decreasing gradient from inland high elevations coastal areas, while CEDL exists opposite trend. negatively correlated CEDL, there clear spillover (2) exhibits obvious polarization. An increasing number areas might face shortage supply. (3) CCD low level. In eastern incoordination become serious increasingly. (4) ‘low supply-high demand’ incoordination, intensity construction size population should be controlled, improved enhance CESC. Meanwhile, ‘high supply-low structure land-use/land-cover optimized improve efficiency utilization. can provide new perspective scientific basis for layout order achieve mitigation UHI

Язык: Английский

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Surface urban heat island effect and its driving factors for all the cities in China: Based on a new batch processing method

Ecological Indicators, Год журнала: 2022, Номер 146, С. 109818 - 109818

Опубликована: Дек. 21, 2022

The urban heat island (UHI) effect has become a hot topic worldwide because of the double stress global climate change and rapid urbanization. However, deficiencies existing methods hinder monitoring assessment surface (SUHI) at regional scale. This paper presented new method to assess SUHI intensity, then applied it in China. results indicated that: (1) compared with other methods, this some merits like higher accuracy, fewer operational steps, portability. It enables accurate, semi-automated intensity (2) exists 81.02% cities These were mainly concentrated southeastern China, which significant characteristic spatial agglomeration. (3) Urban-rural differences relative humidity, vegetation coverage, evapotranspiration, waterbody number industrial enterprises are main driving factors for Furthermore, there interactions among these factors. (4) heterogeneity influence directions intensities many is obvious. Therefore, traditional regression models should be utilized more cautiously they cannot capture variables. (5) hypothesis "the larger city size, intensity" not valid, so attention paid small future.

Язык: Английский

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

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

Опубликована: Сен. 28, 2023

Язык: Английский

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