Development of calculating daily maximum ground surface temperature depending on fluctuations of impermeable and green area ratio by urban land cover types
{"title":"Development of calculating daily maximum ground surface temperature depending on fluctuations of impermeable and green area ratio by urban land cover types","authors":"Young-Ran Kim, Se-Hwan Hwang","doi":"10.11001/JKSWW.2021.35.2.163","DOIUrl":null,"url":null,"abstract":"Heatwaves are one of the most common phenomena originating from changes in the urban thermal environment. They are caused mainly by the evapotranspiration decrease of surface impermeable areas from increases in temperature and reflected heat, leading to a dry urban environment that can deteriorate aspects of everyday life. This study aimed to calculate daily maximum ground surface temperature affecting heatwaves, to quantify the effects of urban thermal environment control through water cycle restoration while validating its feasibility. The maximum surface temperature regression equation according to the impermeable area ratios of urban land cover types was derived. The estimated values from daily maximum ground surface temperature regression equation were compared with actual measured values to validate the calculation method’s feasibility. The land cover classification and derivation of specific parameters were conducted by classifying land cover into buildings, roads, rivers, and lands. Detailed parameters were classified by the river area ratio, land impermeable area ratio, and green area ratio of each land-cover type, with the exception of the rivers, to derive the maximum surface temperature regression equation of each land cover type. The regression equation feasibility assessment showed that the estimated maximum surface temperature values were within the level of significance. The maximum surface temperature decreased by 0.0450 ̊C when the green area ratio increased by 1% and increased by 0.0321 ̊C when the impermeable area ratio increased by 1%. It was determined that the surface ISSN(Print): 1225-7672 / ISSN(Online): 2287-822X DOI https://doi.org/10.11001/jksww.2021.35.2.163","PeriodicalId":382478,"journal":{"name":"Journal of the Korean Society of Water and Wastewater","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Korean Society of Water and Wastewater","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11001/JKSWW.2021.35.2.163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Heatwaves are one of the most common phenomena originating from changes in the urban thermal environment. They are caused mainly by the evapotranspiration decrease of surface impermeable areas from increases in temperature and reflected heat, leading to a dry urban environment that can deteriorate aspects of everyday life. This study aimed to calculate daily maximum ground surface temperature affecting heatwaves, to quantify the effects of urban thermal environment control through water cycle restoration while validating its feasibility. The maximum surface temperature regression equation according to the impermeable area ratios of urban land cover types was derived. The estimated values from daily maximum ground surface temperature regression equation were compared with actual measured values to validate the calculation method’s feasibility. The land cover classification and derivation of specific parameters were conducted by classifying land cover into buildings, roads, rivers, and lands. Detailed parameters were classified by the river area ratio, land impermeable area ratio, and green area ratio of each land-cover type, with the exception of the rivers, to derive the maximum surface temperature regression equation of each land cover type. The regression equation feasibility assessment showed that the estimated maximum surface temperature values were within the level of significance. The maximum surface temperature decreased by 0.0450 ̊C when the green area ratio increased by 1% and increased by 0.0321 ̊C when the impermeable area ratio increased by 1%. It was determined that the surface ISSN(Print): 1225-7672 / ISSN(Online): 2287-822X DOI https://doi.org/10.11001/jksww.2021.35.2.163