Exploring the non-linear impacts of urban features on land surface temperature using explainable artificial intelligence

Urban Climate, Год журнала: 2024, Номер 56, С. 102045 - 102045

Опубликована: Июнь 28, 2024

High land surface temperatures (LST) have emerged as crucial threats to urban ecosystems and sustainable development. To better understand mitigate their impacts, it is essential analyze the contributing features. Against this background, we developed a random forest model enhanced by Explainable Artificial Intelligence (XAI) impact features of LST in Beijing, China. By applying XAI method, our results suggest that major Beijing are elevation (44.19%), compactness impervious (17.27%), Normalized Difference Vegetation Index (11.12%), proportion area (8.04%), tree height (3.83%). Compactness exhibited an overall cooling effect, which became weaker at high values. increased with building height, trend reached 5 m. The most important impacting inner city buildings, whereas outer these surfaces. study applies explain non-linear interactions between features, offering innovative insights policy-makers develop planning strategies. Our findings increasing green spaces water bodies well controlling density can effectively heat dense areas enhance effects.

Язык: Английский

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The Influence of Urban Form on Land Surface Temperature: A Comprehensive Investigation from 2D Urban Land Use and 3D Buildings

Land, Год журнала: 2023, Номер 12(9), С. 1802 - 1802

Опубликована: Сен. 18, 2023

Urban form plays a critical role in shaping the spatial differentiation of land surface temperature (LST). However, limited research has investigated underlying driving forces and interactions multidimensional urban form, specifically considering two-dimensional (2D) use three-dimensional (3D) buildings, on LST. Furthermore, their multi-scale outcomes remain unclear. Taking main area Wuhan City as an example, total nine indicators—the proportion administration (PA), commercial (PB), industrial (PM), residential (PR), water (PE), building density (BD), height (BH), floor ratio (FAR), sky view factor (SVF)—were selected; this paper used geographic detector model to investigate force LST winter summer, well interaction various influencing factors from perspective. The results showed that (1) average was higher than land, both summer winter. while winter, it is opposite. (2) mainly dominated by 3D 2D use. (3) BD leading between any other indicator most significant explanatory power, which same for PM (4) As scale increased, power gradually increased PE decreased. BD, FAR, SVF remains basically unchanged. BH decreases with increasing scale, stable state. (5) among all primarily increases increases, except PR can provide scientific decision-making support collaborative optimization multiscale forms improve thermal environment.

Язык: Английский

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Assessing the impact of Land Use Land Cover changes on land surface temperature over Kigali, Rwanda in the past three decades

Environmental and Sustainability Indicators, Год журнала: 2024, Номер 23, С. 100452 - 100452

Опубликована: Авг. 8, 2024

Land use changes and urban activities cause environmental degradation climate change. This study aims to assess the impacts of Use Cover (LULC) on land surface temperature (LST) in Kigali, Rwanda over past three decades. The combined techniques remote sensing GIS were applied generate good quality Landsat images, categorize classes retrieve indices. modified Mann-Kendall test Sen's slope estimator used analyze trends LST. results indicate that between 1990 2020, extent builtup forest areas have increased at an average rate 3.39 km2/year 2.42 respectively, while open has decreased 5.81 km2/year. In same period, water bodies wetlands showed minimal with increase 1.56 km2 a decrease 1.66 for respectively. magnitudes LST are predominantly positive (p ≤ 0.05) high observed dry seasons (0.51 °C per decade Tmin JJA 0.49 Tmax JF). correlations indices all studied subregions (all values above 0.61, p 0.05). findings this useful development future schemes adoption mitigation adaptation strategies response

Язык: Английский

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Analyzing the impact of urban morphology on solar potential for photovoltaic panels: A comparative study across various European climates

Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 105854 - 105854

Опубликована: Окт. 1, 2024

Язык: Английский

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Simplifying morphological indicators: Linking building morphology and microclimate effects through exploratory factor analysis

International Journal of Biometeorology, Год журнала: 2025, Номер unknown

Опубликована: Март 7, 2025

Язык: Английский

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