A decision-making framework for promoting the optimum design and planning of Nature-based Solutions at local scale DOI
Teodoro Semeraro, Elisa Gatto, Luigi De Bellis

et al.

Urban forestry & urban greening, Journal Year: 2023, Volume and Issue: 84, P. 127945 - 127945

Published: April 20, 2023

Language: Английский

Understanding seasonal contributions of urban morphology to thermal environment based on boosted regression tree approach DOI
Dongrui Han, Hongmin An, Fei Wang

et al.

Building and Environment, Journal Year: 2022, Volume and Issue: 226, P. 109770 - 109770

Published: Nov. 5, 2022

Language: Английский

Citations

85

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

Ledi Shao,

Weilin Liao, Peilin Li

et al.

Building and Environment, Journal Year: 2023, Volume and Issue: 242, P. 110581 - 110581

Published: July 4, 2023

Language: Английский

Citations

55

Evaluating land-surface warming and cooling environments across urban–rural local climate zone gradients in subtropical megacities DOI
Jing Xie, Siyu Zhou, Lamuel Chi Hay Chung

et al.

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

Published: Jan. 27, 2024

Language: Английский

Citations

19

The Impact of Urban Spatial Forms on Marine Cooling Effects in Mainland and Island Regions: A Case Study of Xiamen, China DOI

Yuanping Shen,

Qiaqia Zhang,

Qunyue Liu

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106210 - 106210

Published: Feb. 1, 2025

Language: Английский

Citations

3

Urban planning impact on summer human thermal comfort in Doha, Qatar DOI Creative Commons
Shikha Patel, Madhavi Indraganti, Rana N. Jawarneh

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 254, P. 111374 - 111374

Published: March 1, 2024

Urbanization entails extensive construction and substantial land use alterations, converting natural areas into residential, commercial, mixed-use industrial. These alterations disrupt the surface energy, impacting temperatures (LSTs). Elevated LSTs affect thermal comfort of urban residents exerting pressure on environment ecosystems. This study investigates repercussions elevated LST human comfort, focusing Doha municipality in Qatar for 2002–2003, 2013, 2022, with a specific focus summer temperatures. Utilizing remote sensing Geographical Information Systems (GIS), we conducted an in-depth investigation, employing Landsat data along GIS tools to create maps pattern establish correlation between LST. The findings reveal notable increase built-up area municipality, predominantly at expense desert water bodies. increases consistently by 0.65 °C annually, shifting from moderate heat stress 2002 2013 2023 all neighborhoods Doha. Our comparison different indicates lower near bodies suburban developments higher downtown areas. Suburban exhibit favourable impact compared compact developments. methodology developed this exhibits potential adaptation various settings regionally.

Language: Английский

Citations

11

Impact assessment of land-use alteration on land surface temperature in Kabul using machine learning algorithm DOI
Sajid Ullah, Mohsin Abbas,

Xiuchen Qiao

et al.

Journal of Spatial Science, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 23

Published: June 27, 2024

Language: Английский

Citations

11

Urban heat island intensity in coastal cities of northern Colombia using Landsat data and WRF/UCM model DOI Creative Commons

Luis Díaz-Chávez,

Rafael Melendez-Surmay,

Heli A. Arregocés

et al.

Case Studies in Chemical and Environmental Engineering, Journal Year: 2024, Volume and Issue: 9, P. 100617 - 100617

Published: Jan. 9, 2024

This study examines the evolution of urban heat islands (UHI) in northern Colombia during 2016 and 2021. We employed a multi-approach to analyze intensity magnitude UHI coastal zone metropolis. used Landsat images WRF model numerical modeling coupling Urban Canopy Module (WRF/UCM) estimate variability. data show annual mean LST has increased from 27.78 °C 28.46 2021 cities, especially central south zones built-up areas. Moreover, differences values for LULC classes showed an increase 0.48, 1.23, 0.06, 1.07 vegetation areas, build-up water bodies, barren land respectively, analyzed years. The temperature difference between LSTs vegetated areas 2.14 2.89 expansion (UHII) is directly related growth densification high daytime low nighttime. In contrast, average UHII diurnal cycle ranged 1.46 3.21 2021, higher at night (3.49 °C), while 2016, it (1.60 °C) according WRF/UCM model. density have led surface radiation absorption, which suppressed evaporation over impervious building materials resulted significant rise 2-m air temperature. Also, pronounced disparity slight variance sensible flux surfaces give heightened nighttime and, conversely, daytime. results underscore need promote sustainable practices planning construction infrastructure mitigate adapt UHI.

Language: Английский

Citations

10

Investigating the intensity of urban heat island and the impacts of local climate using verified WRF data: A case study of Rasht, Northern Iran DOI
Ali Ahmadi Orkomi,

Mastooreh Ameri

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 106, P. 105405 - 105405

Published: April 4, 2024

Language: Английский

Citations

9

Spatiotemporal analysis of land surface temperature and land cover changes in Prešov city using downscaling approach and machine learning algorithms DOI Creative Commons

Anton Uhrin,

Katarína Onačillová

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(2)

Published: Jan. 3, 2025

Abstract In recent decades, global climate change and rapid urbanization have aggravated the urban heat island (UHI) effect, affecting well-being of citizens. Although this significant phenomenon is more pronounced in larger metropolitan areas due to extensive impervious surfaces, small- medium-sized cities also experience UHI effects, yet research on these rare, emphasizing importance land surface temperature (LST) as a key parameter for studying dynamics. Therefore, paper focuses evaluation LST cover (LC) changes city Prešov, Slovakia, typical European that has recently undergone LC changes. study, we use relationship between Landsat-8/Landsat-9-derived spectral indices Normalized Difference Built-Up Index (NDBI), Vegetation (NDVI), Water (NDWI) derived from Landsat-8/Landsat-9 Sentinel-2 downscale 10 m. Two machine learning (ML) algorithms, support vector (SVM) random forest (RF), are used assess image classification identify how different types selected years 2017, 2019, 2023 affect pattern LST. The results show several decisions made during last decade, such construction new fabrics roads, caused increase evaluation, based RF algorithm, achieved overall accuracies 93.2% 89.6% 91.5% 2023, outperforming SVM by 0.8% 2017 4.3% 2023. This approach identifies UHI-prone with higher spatial resolution, helping planning mitigate negative effects increasing LSTs.

Language: Английский

Citations

1

Assessment of urban heat islands and thermal discomfort in the Amazonia biome in Brazil: A case study of Manaus city DOI Open Access
Nikolai S. Espinoza, Carlos Antônio Costa dos Santos, Maria Betânia Leal de Oliveira

et al.

Building and Environment, Journal Year: 2022, Volume and Issue: 227, P. 109772 - 109772

Published: Nov. 10, 2022

Language: Английский

Citations

34