文献类型：期刊文献

英文题名：An integrated local climatic evaluation system for green sustainable eco-city construction: A case study in Shenzhen, China

作者：Liu, Lin[1];Lin, Yaoyu[2];Wang, Lina[3];Cao, Junliang[1];Wang, Dan[4];Xue, Puning[1];Liu, Jing[1,5]

机构：[1]Harbin Inst Technol, Sch Municipal & Environm Engn, 73 Huanghe Rd, Harbin 150000, Peoples R China;[2]Shenzhen Grad Sch, Harbin Inst Technol, Shenzhen 518055, Peoples R China;[3]East China Univ Sci & Technol, Sch Resource & Environm Engn, State Environm Protect Key Lab Environm Risk Asse, Shanghai 200237, Peoples R China;[4]Jinan Univ, Shenzhen Tourism Coll, Shenzhen 518053, Peoples R China;[5]Harbin Inst Technol, State Key Lab Urban Water Resource & Environm, Harbin 150000, Peoples R China

年份：2017

卷号：114

起止页码：82

外文期刊名：BUILDING AND ENVIRONMENT

收录：;EI(收录号：20165203177514);WOS:【SSCI(收录号:WOS:000393249800008)，SCI-EXPANDED(收录号:WOS:000393249800008)】；

基金：This work was supported by the pen 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).

语种：英文

外文关键词：Local climate; Eco-city; Dynamic evaluation; Sustainable; Spatial distributions; Integration

摘要：Rapid urbanization has caused a series of environmental problems and increased demand for urban resources. The concept of green, sustainable eco-city constructions is becoming a world-wide common view. Considering the energy configuration and environmental suitability assessment, the outdoor local climate and thermal comfort conditions in a regional area should be effectively evaluated and analyzed to satisfy the resource-saving and environment-friendly demands. This paper proposes a new local climatic evaluation system (LCES) to predict and express local climatic patterns under different urban forms. The system has three modules: a pre-processing module, a dynamic calculation module, and a post processing module. The pre-processing module uses GIS for parameter design and statistics. The calculation module adopts a regional climatic prediction model to calculate hourly climatic parameters from five dynamically linked sub-modules. The post-processing module expresses the climatic spatial visualizations through the temporal-spatial distributions of climatic parameters. We applied the LCES to conduct the climatic spatial analysis of a planning region in Shenzhen, China. Results from this case study show that local climate varies according to local urban form. During the research period, the average hourly urban heat island intensity (UHII) varied between -0.5 degrees C and 3 degrees C and the average hourly new standard effective temperature (SET*) varied from 24 degrees C to 40 degrees C across the research area. We then used threshold values of UHII and SET* to identify problem areas for further analysis and, re-planning. This user-friendly, integrated climatic evaluation system helps design climatic friendly urban environments. (C) 2016 Elsevier Ltd. All rights reserved.