Impacts of Urban Morphology on Seasonal Land Surface Temperatures: Comparing Grid- and Block-Based Approaches DOI Creative Commons

Gyuwon Jeon,

Yujin Park, Jean‐Michel Guldmann

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2023, Volume and Issue: 12(12), P. 482 - 482

Published: Nov. 28, 2023

Climate change is expected to result in increased occurrences of extreme weather events such as heat waves and cold spells. Urban planning responses are crucial for improving the capacity cities communities deal with significant temperature variations across seasons. This study aims investigate relationship between urban fluctuations morphology throughout four Through quadrant statistical analyses, built-environment factors identified that moderate or exacerbate seasonal land surface temperatures (LSTs). The focus on Seoul, South Korea, a case study, LST values calculated at both grid (100 m × 100 m) street block levels, incorporating vegetation density, use patterns, albedo, two- three-dimensional building forms, gravity indices large forests water bodies. analysis reveals spatial segregation areas demonstrating high adaptability (cooler summers warmer winters) those displaying vulnerability (hotter colder winters), differences forms. Spatial regression analyses demonstrate higher density proximity bodies play key roles moderating LSTs, leading cooler winters. Building characteristics have constant impact LSTs all seasons: horizontal expansion increases LST, while vertical reduces LST. These findings consistent grid- block-level analyses. emphasizes flexible role natural environment temperatures.

Language: Английский

Remote Sensing-Based Attribution of Urban Heat Islands to the Drivers of Heat DOI
Fengxiang Guo, Daniel Hertel, Uwe Schlink

et al.

IEEE Transactions on Geoscience and Remote Sensing, Journal Year: 2024, Volume and Issue: 62, P. 1 - 12

Published: Jan. 1, 2024

As cities grow and develop, more natural landscapes are transformed into heat-absorbing surfaces, further exacerbating urban heat island (UHI) effect. To seek efficient strategies for UHI mitigation, it requires a good knowledge on the driving mechanisms of heat. Based surface energy balance, this study decomposed (SUHI) in terms five biophysical drivers (radiation, anthropogenic heat, convection, evapotranspiration storage), applied approach Beijing using remote sensing images Google Earth Engine. The SUHI intensity, calculated by combining contribution terms, observed through Landsat 8 land temperature product, agreement, with root-mean square error 0.776 K coefficient determination 0.947. Besides building morphological blocks, it's changes term (a function to Bowen ratio, which describes capacity rural evaporate water), that controls spatial variations intensity during summer. For instance, low-rise high-density regions exhibit strong effect, above were 0.03 K, 0.44 -0.74 1.35 -0.08 average, respectively. In comparison height, density stronger affects terms. results, reducing such as green spaces, cool roofs, open layouts, recommended. findings suggestions refer particular city season. Further experiments research should be carried out deeper understanding mechanism SUHI.

Language: Английский

Citations

2
Impact of block morphology on urban thermal environment with the consideration of spatial heterogeneity DOI
Chanjuan Wang,

Zongmao Li,

Yuan Su

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 113, P. 105622 - 105622

Published: July 2, 2024

Language: Английский

Citations

2
The effect of urban form parameters on annual and diurnal cycles of land surface temperature with 30-meters hourly resolution DOI
Wen He, Shisong Cao,

Mingyi Du

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 105806 - 105806

Published: Sept. 1, 2024

Language: Английский

Citations

1
Examining the Impact of Urban Morphology on Seasonal Land Surface Temperatures: Comparing Grid‐ and Block‐Based Approaches DOI Open Access

Gyuwon Jeon,

Yujin Park, Jean‐Michel Guldmann

et al.

Published: Aug. 8, 2023

Climate change is expected to result in rising temperatures, leading increased occurrences of extreme weather events like heat waves and cold spells. Urban planning responses are crucial for improving the adaptive capacity cities communities dealing with significant temperature variations across seasons. This study aims investigate relationship between urban fluctuations morphology throughout four Through quadrant statistical analyses, identifies built-environment factors that contribute moderate seasonal land surface temperatures (LST). The research focuses on Seoul, South Korea as a case calculates LST values at both grid level (100m×100m) street-block level, incorporating such vegetation density, use patterns, albedo, two- three-dimensional building forms, gravity indices natural reserves. analysis reveals spatial segregation areas demonstrating high adaptability (cooler summers warmer winters) those displaying vulnerability (hotter colder winters), differences forms. regression demonstrates higher density proximity water bodies play key roles moderating LST, cooler winters. Building characteristics have an invariant impact all seasons, where horizontal expansion contributes while vertical reduces LST. These findings consistent grid- block-level analyses. emphasizes flexible role environment temperatures.

Language: Английский

Citations

3
Impacts of Urban Morphology on Seasonal Land Surface Temperatures: Comparing Grid- and Block-Based Approaches DOI Creative Commons

Gyuwon Jeon,

Yujin Park, Jean‐Michel Guldmann

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2023, Volume and Issue: 12(12), P. 482 - 482

Published: Nov. 28, 2023

Climate change is expected to result in increased occurrences of extreme weather events such as heat waves and cold spells. Urban planning responses are crucial for improving the capacity cities communities deal with significant temperature variations across seasons. This study aims investigate relationship between urban fluctuations morphology throughout four Through quadrant statistical analyses, built-environment factors identified that moderate or exacerbate seasonal land surface temperatures (LSTs). The focus on Seoul, South Korea, a case study, LST values calculated at both grid (100 m × 100 m) street block levels, incorporating vegetation density, use patterns, albedo, two- three-dimensional building forms, gravity indices large forests water bodies. analysis reveals spatial segregation areas demonstrating high adaptability (cooler summers warmer winters) those displaying vulnerability (hotter colder winters), differences forms. Spatial regression analyses demonstrate higher density proximity bodies play key roles moderating LSTs, leading cooler winters. Building characteristics have constant impact LSTs all seasons: horizontal expansion increases LST, while vertical reduces LST. These findings consistent grid- block-level analyses. emphasizes flexible role natural environment temperatures.

Language: Английский

Citations

3