Spatial Distribution of Urban Heat Island based on Local Climate Zone of Automatic Weather Station in Seoul Metropolitan Area
Author(s) -
JeWoo Hong,
Jinkyu Hong,
Seong Eun Lee,
Jaewon Lee
Publication year - 2013
Publication title -
atmosphere
Language(s) - English
Resource type - Journals
eISSN - 2288-3266
pISSN - 1598-3560
DOI - 10.14191/atmos.2013.23.4.413
Subject(s) - urban heat island , environmental science , intensity (physics) , climatology , metropolitan area , precipitation , land cover , urban climate , range (aeronautics) , meteorology , weather station , geography , land use , urban planning , geology , ecology , physics , civil engineering , materials science , archaeology , quantum mechanics , engineering , composite material , biology
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 in autumn and minimum was in spring. Maximum DTR appeared in autumn as , but minimum was 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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom