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Spatial Distribution of Urban Heat Island based on Local Climate Zone of Automatic Weather Station in Seoul Metropolitan Area

자동기상관측소의 국지기후대에 근거한 서울 도시 열섬의 공간 분포

  • Hong, Je-Woo (Division of Landscape Architecture and Rural System Engineering, Seoul National University) ;
  • Hong, Jinkyu (Ecosystem-Atmosphere Process Lab., Department of Atmospheric Sciences, Yonsei University) ;
  • Lee, Seong-Eun (Meteorological Resources Division, Korea Meteorological Adminstration) ;
  • Lee, Jaewon (Meteorological Resources Division, Korea Meteorological Adminstration)
  • 홍제우 (서울대학교 생태조경.지역시스템공학부) ;
  • 홍진규 (연세대학교 대기과학과/생물대기연구실) ;
  • 이성은 (기상청 기상자원과) ;
  • 이재원 (기상청 기상자원과)
  • Received : 2013.09.17
  • Accepted : 2013.10.23
  • Published : 2013.12.31

Abstract

Urban Heat Island (UHI) intensity is one of vital parameters in studying urban boundary layer meteorology as well as urban planning. Because the UHI intensity is defined as air temperature difference between urban and rural sites, an objective sites selection criterion is necessary for proper quantification of the spatial variations of the UHI intensity. This study quantified the UHI intensity and its spatial pattern, and then analyzed their connections with urban structure and metabolism in Seoul metropolitan area where many kinds of land use and land cover types coexist. In this study, screen-level temperature data in non-precipitation day conditions observed from 29 automatic weather stations (AWS) in Seoul were analyzed to delineate the characteristics of UHI. For quality control of the data, gap test, limit test, and step test based on guideline of World Meteorological Organization were conducted. After classifying all stations by their own local climatological properties, UHI intensity and diurnal temperature range (DTR) are calculated, and then their seasonal patterns are discussed. Maximum UHI intensity was $4.3^{\circ}C$ in autumn and minimum was $3.6^{\circ}C$ in spring. Maximum DTR appeared in autumn as $3.8^{\circ}C$, but minimum was $2.3^{\circ}C$ in summer. UHI intensity and DTR showed large variations with different local climate zones. Despite limited information on accuracy and exposure errors of the automatic weather stations, the observed data from AWS network represented theoretical UHI intensities with difference local climate zone in Seoul.

Keywords

References

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