The Reduction Effect of Urban Heat Island by Green Space Characters

Yang, Byungsun; 한국건설기술연구원,; Heo, Hankyul

doi:10.51549/joral.2021.15.3.013

Cited by 2 publications

(2 citation statements)

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“…The effect is a phenomenon in which the temperature of an urban area is higher than that of the surrounding area, and is more aggravated in metropolitan areas (Park, 2013). Not only can temperature rises in urban areas cause negative effects on the urban ecosystem, they also can adversely affect human health (Arifwidodo et al, 2019;Yang and Heo, 2021). In this regard, various studies have been continuously conducted to improve the urban thermal environment, including analyses of the relationship between land cover components (e.g., mainly asphalt, concrete, buildings, vegetation, bare soil) and surface temperature (ST) in urban areas (Jeong, 2009;Klok et al, 2012;Soltani and Sharifi, 2017); studies on causes and reduction factors of UHI (Coutts et al, 2016;Kim et al, 2001;Yao et al, 2020); UHI reduction effect according to spatial composition changes through computer simulation (Abdulateef and Al-Alwan, 2022;Kwon et al, 2019;Zhou and Chen, 2018).…”

Section: Introductionmentioning

confidence: 99%

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An Analysis of Surface Temperature Changes for Urban Green Space using Unmanned Aerial Vehicles

Lee

Kil

Yun

et al. 2022

J. People Plants Environ

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Background and objective: The urban heat island (UHI) effect is recognized as a representative environmental problem that occurs in cities in summer. This study aimed to quantitatively determine the surface temperature (ST) of UGSs using high-resolution images taken by an unmanned aerial vehicle (UAV), and analyze time-series changes in ST according to spatial characteristics (conifers, deciduous trees, shrubs, grass, metal sculptures, pavements).Methods: In this study, ST data of UGSs were established and acquired through UAV flight and filming, and orthoimages of such data were produced using the Pix4D program. In addition, by comparing RGB orthoimages and green space status data (location of trees and facilities) obtained from field surveys, a green-space type map was prepared using ArcGIS (v10.3.1) software to classify land cover types in green spaces (GSs). ST distribution by GS type was analyzed and statistical significance was verified through one-way ANOVA.Results: As a result, the ST of conifers, deciduous trees, shrubs, and grass, which are vegetation, was found to be lower than that of paved roads: for conifers, 4.1-12.5℃ lower than paved roads; for deciduous trees, 3.0-10.8℃; for shrubs 3.4-11.2℃; and for grass 1.7-8.1℃. In addition, the variations in ST over time were greatest for metal sculptures (28.1℃), followed by pavement (20.4℃), grass (19.4℃), shrubs (14.0℃), conifers (13.3℃), and deciduous trees (13.0℃).Conclusion: Based on the results of this study, it is necessary to consider the components of GS for the efficient planning and management of UGS in terms of improving the urban thermal environment. Insufficient and unsystematic planning and management of UGSs may deteriorate the function of GSs. Therefore, it is necessary to determine and evaluate the ST characteristics of GSs in terms of improving the urban thermal environment.

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Section: Introductionmentioning

confidence: 99%

“…Such spaces cool their insides through functions that include blocking solar radiation, providing shade, and evapotranspiration in summer Yao et al 2020). In addition, the cold air inside green spaces is diffused to the surrounding area, having the effect of reducing the ambient temperature (Yang and Heo, 2021).…”

Section: Introductionmentioning

confidence: 99%