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

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2023, Volume and Issue: 122, P. 103411 - 103411

Published: July 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.

Language: Английский

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

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 103, P. 105268 - 105268

Published: Feb. 9, 2024

Language: Английский

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

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 107, P. 105483 - 105483

Published: April 28, 2024

Language: 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, Journal Year: 2024, Volume and Issue: 251, P. 111232 - 111232

Published: Jan. 27, 2024

Language: 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, Journal Year: 2023, Volume and Issue: 98, P. 104833 - 104833

Published: July 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.

Language: Английский

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Regulation of urban morphology on thermal environment across global cities

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 97, P. 104749 - 104749

Published: June 25, 2023

Language: Английский

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

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 106, P. 105389 - 105389

Published: March 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

Language: 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, Journal Year: 2024, Volume and Issue: 113, P. 105711 - 105711

Published: July 30, 2024

Language: Английский

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

Urban Climate, Journal Year: 2024, Volume and Issue: 55, P. 101868 - 101868

Published: March 22, 2024

Language: Английский

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Harnessing urban analytics and machine learning for sustainable urban development: A multidimensional framework for modeling environmental impacts of urbanization in Saudi Arabia

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 357, P. 120705 - 120705

Published: April 1, 2024

Language: Английский

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