Cited by Public Decision-Making Analysis in Urban Heat Islands Based on Socioeconomic Modelling by Deep Learning Techniques

Spatio-temporal assessment of heat health risk in Chinese metropolitan cities based on the modified multi-indicators coupled risk framework DOI

Hanyu Sun,

Yunhao Chen, Kangning Li

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 108, P. 105451 - 105451

Published: April 20, 2024

Language: Английский

Citations

Quantifying the Impact of Urban Growth on Urban Surface Heat Islands in the Bangkok Metropolitan Region, Thailand DOI

Pawinee Iamtrakul, Apinya Padon, Sararad Chayphong

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(1), P. 100 - 100

Published: Jan. 12, 2024

The urban built environment, comprising structures, roads, and various facilities, plays a key role in the formation of heat islands, which inflict considerable damage upon human society. This phenomenon is particularly pronounced areas characterized by rapid growth concentration populations, global trend, notably exemplified megacities such as Bangkok, Thailand. trend urbanization has witnessed unprecedented recent decades, with cities transforming into megametropolises that profoundly impact changes temperature, specifically island (UHI) induced areas. Elevated concentrations lead to increased city density, contributing higher temperatures within environment compared surrounding evolving land-use surface assumed heightened significance due development, necessitating accelerated efforts mitigate islands. study aims quantify influence on temperature Bangkok its inverse relationship between land (LST), coupled area was examined using Landsat 5 8 satellite imagery. analysis revealed positive correlation levels growth. Areas high-rise structures economic activities experienced most phenomenon. exhibited notable high density (high–high), signifying contributes elevated dissipation (significant R2 = 0.8582). Conversely, low-temperature, low-density (low–low) dispersed layout demonstrated effective cooling area, resulting significant lower local (R2 0.7404). These findings provide valuable insights assist governments related agencies expediting planning policy development aimed at reducing steering sustainable development.

Language: Английский

Citations

Classifying seasonal patterns of clear-sky surface urban heat island worldwide and investigating impacts from surface energy variations DOI

Kangning Li,

D. Lyu,

Yunhao Chen

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 106, P. 105367 - 105367

Published: March 22, 2024

Language: Английский

Citations

Microscale Investigation of Urban Heat Island (UHI) in Annaba City: Unveiling Factors and Mitigation Strategies DOI

Bouthaina Sayad, Mansour Helmi, Oumr Adnan Osra

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(2), P. 747 - 747

Published: Jan. 15, 2024

Cities are facing significant challenges related to climate change, particularly due the increasing impact of Urban Heat Island (UHI) phenomenon. The present study investigated UHI phenomenon at microscale in Annaba, Algeria. research involved a multi-step approach, starting with on-site measurements urban microclimate parameters, performed downtown Annaba on 6 July 2023. intensity was quantified by comparing city-measured temperatures rural surroundings. Thermal imaging is then used empirically identify contributing factors initiation microscale. employed ENVI-met model analyse mitigation strategies, manipulating parameters for six scenarios including current design area. Outputs were assess these strategies air temperature, mean radiant relative humidity, and wind speed. findings revealed an intense effect city peak difference 6.9 °C, practical implications buildings, ground roads, vehicles, conditioners, specific facade materials. Introducing vegetation, trees green roofs, proved highly effectiveness mitigating Annaba. demonstrated most substantial impact, reducing 1.9 °C 1 p.m., while roof temperature reductions ranged from 0.1 2 °C.

Language: Английский

Citations

A review of urban heat island mapping approaches with a special emphasis on the Indian region DOI

N Renugadevi,

Manu Mehta,

G. T.

et al.

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(4)

Published: March 8, 2025

Language: Английский

Citations

Scenario analysis under climate extreme of carbon peaking and neutrality in China: A hybrid interpretable machine learning model prediction DOI

Zhike Zheng,

Qing Shuang

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145086 - 145086

Published: Feb. 1, 2025

Language: Английский

Citations

Analysis of Reason to Global Warming Based on Heat Pattern Using Hyperspectral Imaging: Artificial Intelligence Application DOI

T. S. Arulananth,

M. Mahalakshmi,

P. G. Kuppusamy

et al.

Remote Sensing in Earth Systems Sciences, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 20, 2024

Language: Английский

Citations

People’s exposure to blue-green spaces decreased but inequality increased during 2001–2020 across major Chinese cities DOI

Han Gao, Yunhao Chen, Kangning Li

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112571 - 112571

Published: Sept. 1, 2024

Language: Английский

Citations

Integrative Remote Sensing Approaches Using Generative Adversarial Networks for Urban Heat Island Analysis and Mitigation DOI

G. Sundar,

P. Patchaiammal,

Balaji Vijayan Venkateshwarulu

et al.

Remote Sensing in Earth Systems Sciences, Journal Year: 2024, Volume and Issue: 7(4), P. 681 - 698

Published: Oct. 28, 2024

Language: Английский

Citations

Geospatial urban heat mapping with interpretable machine learning and deep learning: a case study in Hue City, Vietnam DOI

Nhat‐Duc Hoang, Phu Anh Huy Pham, Thanh‐Canh Huynh

et al.

Earth Science Informatics, Journal Year: 2024, Volume and Issue: 18(1)

Published: Dec. 17, 2024

Language: Английский

Citations