文献类型：期刊文献

英文题名：A new method to quantify surface urban heat island intensity

作者：Li, Huidong[1] Zhou, Yuyu[2] Li, Xiaoma[2] Meng, Lin[2] Wang, Xun[1] Wu, Sha[3] Sodoudi, Sahar[1]

第一作者：Li, Huidong

通信作者：Sodoudi, S[1]

机构：[1]Free Univ Berlin, Inst Meteorol, Berlin, Germany;[2]Iowa State Univ, Dept Geol & Atmospher Sci, Ames, IA USA;[3]Chinese Acad Forestry, Forestry Expt Ctr North China, Beijing, Peoples R China

年份：2018

卷号：624

起止页码：262-272

外文期刊名：SCIENCE OF THE TOTAL ENVIRONMENT

收录：;EI(收录号：20175104551923);Scopus(收录号：2-s2.0-85037983565);WOS:【SSCI(收录号:WOS:000426355900028)，SCI-EXPANDED(收录号:WOS:000426355900028)】；

基金：This research is supported by the China Scholarship Council, FUBright Mobility Allowances for Research Stays promoted by the German Academic Exchange Service (DAAD)-Dahlem Research School of Freie Universitat Berlin, Mobility Allowance for Junior Research Stays from University Alliance for Sustainability promoted by Freie Universitat Berlin. The authors thank the Beijing Office of Freie Universitat Berlin. Special thanks go to Dr. Hamid Taheri Shahraiyni for help in processing remote sensing data and Patricia Margerison for proofreading this manuscript.

语种：英文

外文关键词：Surface urban heat island; Land surface temperature; Impervious surface area; Kernel density estimation; Footprint of remote sensing observation

摘要：Reliable quantification of urban heat island (UHI) can contribute to the effective evaluation of potential heat risk. Traditional methods for the quantification of UHI intensity (UHII) using pairs-measurements are sensitive to the choice of stations or grids. In order to get rid of the limitation of urban/rural divisions, this paper proposes a new approach to quantify surface UHII (SUHII) using the relationship between MODIS land surface temperature (LST) and impervious surface areas (ISA). Given the footprint of LST measurement, the ISA was regionalized to include the information of neighborhood pixels using a Kernel Density Estimation (KDE) method. Considering the footprint improves the LST-ISA relationship. The LST shows highly positive correlation with the KDE regionalized ISA (ISA(KDE)). The linear functions of LST are well fitted by the ISA(KDE) in both annual and daily scales for the city of Berlin. The slope of the linear function represents the increase in LST from the natural surface in rural regions to the impervious surface in urban regions, and is defined as SUHII in this study. The calculated SUHII show high values in summer and during the day than in winter and at night. The new method is also verified using finer resolution Landset data, and the results further prove its reliability. (C) 2017 The Authors. Published by Elsevier B.V.