首页|Analysis of the Spatio-Temporal Characteristics of Winter Surface Urban Heat Island:A Case Study in Beijing,China
Analysis of the Spatio-Temporal Characteristics of Winter Surface Urban Heat Island:A Case Study in Beijing,China
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This study reveals the temporal and spatial evolution characteristics of the winter night-time urban heat island(UHI)effect in the case of Beijing,China.The land surface temperature(LST)is retrieved by radiative transfer equation by using the remote sensing data from Landsat ETM+/OLI TIRS from 2007 to 2017 for the winter nighttime period,and LST is then divided by the mean-standard deviation method into different levels of thermal landscapes.A combination of the migration calculation of gravity center and multi-directional profile analysis is used to study the directional differ-entiation characteristics of LST and the migratory characteristics of the gravity center of UHI.Finally,the overall temporal and spatial evolution characteristics of winter nighttime surface urban heat island(SUHI)in Beijing are studied,and the possible reasons for the changes are discussed.Results show that Beijing's UHI effect first increased and subsequently decreased from 2007 to 2017.The winter heat is-land in the urban area developed from low-density agglomeration to high-density agglomeration to low-density diffusion.Additionally,the high-level thermal landscapes migrated to the southwest along with the city center of gravity,and the expansion rate is fastest in the southwest,which is directly linked to the changes in the urban construction land.Moreover,the overall spatial distribution of winter night-time LST is high in the east and south and low in the west and north,and is influenced by topography,land cover,urbanization,anthropogenic heat,and other factors as well.
land surface temperatureurban heat islandspatio-temporal characteristicswinterenvironment geology
Shanshan Lu、Fujiang Liu、Yunshuang Ye、Jiayu Tang、Peng Li、Weihua Lin、Yan Guo、Ruqiang Ma、Jun Wang
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School of Geography and Information Engineering,China University of Geosciences,Wuhan 430074,China
AutoNavi Software Co.,Ltd.,Beijing 100102,China
School of Computer Science,China University of Geosciences,Wuhan 430078,China
Yantai Geological Survey of Coastal Resources Center,Yantai 264000,China
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Fund of National Key Laboratory of Science and Technology on Remote Sensing Information and imagery Analysis,Beijing Researc
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