文献类型：期刊文献

英文题名：Analysis of local-scale urban heat island characteristics using an integrated method of mobile measurement and GIS-based spatial interpolation

作者：Liu, Lin[1];Lin, Yaoyu[2];Liu, Jing[1,3];Wang, Lina[4];Wang, Dan[2];Shui, Taotao[1];Chen, Xin[1];Wu, Qing[1]

机构：[1]Harbin Inst Technol, Sch Municipal & Environm Engn, 73 Huanghe Rd, Harbin 150000, Peoples R China;[2]Harbin Inst Technol, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China;[3]Harbin Inst Technol, State Key Lab Urban Water Resource & Environm, Harbin 150000, Peoples R China;[4]East China Univ Sci & Technol, State Environm Protect Key Lab Environm Risk Asse, Sch Resource & Environm Engn, Shanghai 200237, Peoples R China

年份：2017

卷号：117

起止页码：191

外文期刊名：BUILDING AND ENVIRONMENT

收录：;EI(收录号：20171203473697);WOS:【SCI-EXPANDED(收录号:WOS:000400226300017)】；

基金：The authors would like to thank the open project of the State Key Laboratory of Urban Resource and Environment (Grant No. 2010TS04), the Shenzhen Science & Technology Development Funding-Fundamental Research Plan (Grant No. JCYJ20120615145601342) and the Key Laboratory of Eco Planning & Green Building, Ministry of Education (Tsinghua University, 2013U-6) for financially supporting this research.

语种：英文

外文关键词：Local scale; Urban heat island; Mobile measurement; GIS-based; Spatial interpolation; Urban patterns

摘要：Across a complex urban region with diversified urban patterns, the local climate usually varies with time and space. Achieving accurate local climatic characteristics by using efficient field survey method contributes to providing theoretical support and technical reference for climate-conscious eco-city construction. This study takes the Shenzhen Overseas Chinese Town (OCT) as research area, and mainly focuses on the local-scale urban heat island (UHI) characteristics under different urban patterns. An efficient method by integrating both the mobile measurement and GIS-based spatial interpolation is proposed and applied. By applying temporal corrections to the obtained mobile data, the local UHI intensities (LUHII) along the mobile route are expressed. Then based on the LUHII values along the mobile route, three main spatial interpolation methods (SIMs) are respectively applied to obtain the LUHII spatial distributions within the whole OCT. The spatial distribution results illustrate that the LUHII within the OCT express obvious spatial-temporal characteristics. Further verifying the results of SIMs with 24 field measurement data, the three SIMs present total average mean absolute error (MAE) and root mean square error (RMSE) values of about 03 degrees C. Then quantitative effects of three urban pattern indicators on LUHII are discussed and two equations for expressing the LUHII in two seasons demonstrate that decreasing the building density could help relieve local-scale UHI effects. (C) 2017 Elsevier Ltd. All rights reserved.