Urban forestry & urban greening, Journal Year: 2023, Volume and Issue: 84, P. 127945 - 127945
Published: April 20, 2023
Language: Английский
Urban forestry & urban greening, Journal Year: 2023, Volume and Issue: 84, P. 127945 - 127945
Published: April 20, 2023
Language: Английский
Building and Environment, Journal Year: 2022, Volume and Issue: 226, P. 109770 - 109770
Published: Nov. 5, 2022
Language: Английский
Citations
85Building and Environment, Journal Year: 2023, Volume and Issue: 242, P. 110581 - 110581
Published: July 4, 2023
Language: Английский
Citations
55Building and Environment, Journal Year: 2024, Volume and Issue: 251, P. 111232 - 111232
Published: Jan. 27, 2024
Language: Английский
Citations
19Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106210 - 106210
Published: Feb. 1, 2025
Language: Английский
Citations
3Building 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
11Journal of Spatial Science, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 23
Published: June 27, 2024
Language: Английский
Citations
11Case 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
10Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 106, P. 105405 - 105405
Published: April 4, 2024
Language: Английский
Citations
9Environmental 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
1Building and Environment, Journal Year: 2022, Volume and Issue: 227, P. 109772 - 109772
Published: Nov. 10, 2022
Language: Английский
Citations
34