Prioritizing environmental determinants of urban heat islands: A machine learning study for major cities in China

International Journal of Applied Earth Observation and Geoinformation, Год журнала: 2023, Номер 122, С. 103411 - 103411

Опубликована: Июль 6, 2023

The exacerbated thermal environment in cities, with the urban heat island (UHI) effect as a prominent example, has been source of many adverse environmental issues, including increase health risks, degradation air quality and ecosystem services, reduced resiliency engineering infrastructure. Last decades have witnessed tremendous efforts resources being invested to find sustainable solutions for mitigation, whereas relative contributions different UHI attributes their patterns spatio-temporal variability remain obscure. In this study, we employed random forest (RF) method quantify importance four categories surface characteristics that regulate UHI, namely greenery fraction, land albedo, morphology, level human activities. We selected seventeen major cities from six megaregions China our study areas, RF training test sets obtained multi-sourced remote sensing observational data products. It is found coverage manifests most important determinants followed by albedo. results are informative planners, policymakers, practitioners design implement strategies mitigation.

Язык: Английский

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Exploring the seasonal effects of urban morphology on land surface temperature in urban functional zones

Sustainable Cities and Society, Год журнала: 2024, Номер 103, С. 105268 - 105268

Опубликована: Фев. 9, 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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Evaluating land-surface warming and cooling environments across urban–rural local climate zone gradients in subtropical megacities

Building and Environment, Год журнала: 2024, Номер 251, С. 111232 - 111232

Опубликована: Янв. 27, 2024

Язык: Английский

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Spatially-optimized greenspace for more effective urban heat mitigation: Insights from regional cooling heterogeneity via explainable machine learning

Landscape and Urban Planning, Год журнала: 2025, Номер 256, С. 105296 - 105296

Опубликована: Янв. 16, 2025

Язык: Английский

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Monitoring diurnal dynamics of surface urban heat island for urban agglomerations using ECOSTRESS land surface temperature observations

Sustainable Cities and Society, Год журнала: 2023, Номер 98, С. 104833 - 104833

Опубликована: Июль 30, 2023

Extreme heat exposure at the regional scale is warranted for special attention due to changing global climate yet notable disparities in effect of warming. NASA's latest ECOSTRESS mission generates LST images with a swath width about 400 km and 70-m resolution varying times day/night provides new opportunity SUHI studies. Here we demonstrated capability data studying spatiotemporal variations over an urban agglomeration that centers on megacity, Xi'an, Northwest China includes cities various sizes geographical economic settings. Our results revealed unequal exposures different-sized effects diurnal cycle, maximum value 10 °C. Meanwhile, inter-city showed higher spatial variability late morning, midday, early afternoon than evening, midnight, morning. Urban vegetation percent imperviousness can regulate each city, impact varied across or different times. The findings have implications assessing extreme cities, enlightening mitigation strategies, informing future sustainability.

Язык: Английский

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Regulation of urban morphology on thermal environment across global cities

Sustainable Cities and Society, Год журнала: 2023, Номер 97, С. 104749 - 104749

Опубликована: Июнь 25, 2023

Язык: Английский

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Urban heat island analysis based on high resolution measurement data: A case study in Beijing

Sustainable Cities and Society, Год журнала: 2024, Номер 106, С. 105389 - 105389

Опубликована: Март 28, 2024

Urban heat island (UHI) is a widely concerned urban climate which impacts billions of residents worldwide. Nevertheless, inadequate rigorous air temperature (Tair) measurement has become an obstacle to UHI research and mitigation, especially in megacities like Beijing. In this study, we applied 1-km hourly Tair dataset interpolated from records 521 stations The enables us analyze patterns on block scale the landscapes combined with local zones (LCZ) scheme. Our results indicate that: (1) its temporal variation each LCZ vary significantly, are highly relevant their morphology thermal-radiative properties. (2) 1 2 have highest nocturnal intensities (UHII). Discrepancies among LCZs also cause various variations UHII. (3) spatial pattern affects regional temperature. Area ratio aggregation extent 1&2 show significant positive correlations temperature, while A&D&G opposite regularity. (4) Distinct mitigation strategies put forward for subarea Beijing endowments population structure. study provides insight into plausible advice

Язык: Английский

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Spatiotemporal heterogeneity of the relationship between urban morphology and land surface temperature at a block scale

Sustainable Cities and Society, Год журнала: 2024, Номер 113, С. 105711 - 105711

Опубликована: Июль 30, 2024

Язык: Английский

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Implementing policies to mitigate urban heat islands: Analyzing urban development factors with an innovative machine learning approach

Urban Climate, Год журнала: 2024, Номер 55, С. 101868 - 101868

Опубликована: Март 22, 2024

Язык: Английский

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