Drivers of global surface urban heat islands: Surface property, climate background, and 2D/3D urban morphologies

Building and Environment, Год журнала: 2023, Номер 242, С. 110581 - 110581

Опубликована: Июль 4, 2023

Язык: Английский

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Exploring the relationship between thermal environmental factors and land surface temperature of a “furnace city” based on local climate zones

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

Опубликована: Авг. 14, 2023

Язык: Английский

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Exploring the Nonlinear Interplay between Urban Morphology and Nighttime Thermal Environment

Sustainable Cities and Society, Год журнала: 2024, Номер 101, С. 105176 - 105176

Опубликована: Янв. 5, 2024

Язык: Английский

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Industrialization, urbanization, and innovation: Nonlinear drivers of carbon emissions in Chinese cities

Applied Energy, Год журнала: 2024, Номер 358, С. 122598 - 122598

Опубликована: Янв. 17, 2024

Язык: Английский

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Characteristics of surface urban heat islands in global cities of different scales: Trends and drivers

Sustainable Cities and Society, Год журнала: 2024, Номер 107, С. 105483 - 105483

Опубликована: Апрель 28, 2024

Язык: Английский

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Risk-driven composition decoupling analysis for urban flooding prediction in high-density urban areas using Bayesian-Optimized LightGBM

Journal of Cleaner Production, Год журнала: 2024, Номер 457, С. 142286 - 142286

Опубликована: Апрель 20, 2024

Язык: Английский

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The nonlinear influence of land conveyance on urban carbon emissions: An interpretable ensemble learning-based approach

Land Use Policy, Год журнала: 2024, Номер 140, С. 107117 - 107117

Опубликована: Фев. 28, 2024

Язык: Английский

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Natural-anthropogenic environment interactively causes the surface urban heat island intensity variations in global climate zones

Environment International, Год журнала: 2022, Номер 170, С. 107574 - 107574

Опубликована: Окт. 8, 2022

The inconstant climate change and rapid urbanization substantially disturb the global thermal balance induce severe urban heat island (UHI) effect, adversely impacting human development health. Existing literature has revealed UHI characteristics driving factors at an scale, but interactions between main of a grid scale assessment on context zones remain unclear. Therefore, based multidimensional climatic socio-economic statistical datasets, multi-time surface intensity (SUHI) was investigated in this study to analyze how natural-anthropogenic drivers affect variance SUHI vary their importance for changes other interaction factors. results show that mean value summer is higher than winter, daytime nighttime seasonal daily scale. SUHIs different have significant differences. When analyzing drivers' contributions with LightGBM model SHAP algorithm, we know monthly precipitation (PREC), estimated population (POP) pressure (PRES) are three major SUHI. mainly PREC, POP anthropogenic emission (AHE), influence rules natural driversare mostly opposite daytime. This highlights fundamental role background designing strategies. Irrigation or artificial rainfall will be effective mitigate low areas, while it more reduce AHE high areas. In where greening can difficult most developed cities, reducing AHE, increasing per capita GDP controlling may also contribute alleviating provides ideas developing responsive mitigation policies realistic setting.

Язык: Английский

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How does urban heat island differ across urban functional zones? Insights from 2D/3D urban morphology using geospatial big data

Urban Climate, Год журнала: 2023, Номер 53, С. 101787 - 101787

Опубликована: Дек. 14, 2023

Язык: Английский

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Stereoscopic urban morphology metrics enhance the nonlinear scale heterogeneity modeling of UHI with explainable AI

Urban Climate, Год журнала: 2024, Номер 56, С. 102006 - 102006

Опубликована: Июнь 20, 2024

Язык: Английский

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