A GIS-Based Evaluation of Environmental Sensitivity for an Urban Expressway in Shenzhen, China

作     者：Qian Li Fengqing Guo Yuntao Guan 

作者机构：State Environmental Protection Key Laboratory of Microorganism Application and Risk Control School of Environment Ysinghua University Beijing 100084 China Guangdong Provincial Engineering Technology Research Center for Urban Water Cycle and Water Environment Safety Graduate School at Shenzhen Ysinghua University Shenzhen 518055 China College of Water Conservancy Engineering Yianjin Agricultural University Yianjin 300384 China 

出 版 物：《Engineering》 (工程（英文）)

年 卷 期：2018年第4卷第2期

页      面：66-70页

核心收录：

学科分类：12[管理学] 1204[管理学-公共管理] 08[工学] 081303[工学-城市规划与设计(含：风景园林规划与设计）] 0813[工学-建筑学] 0814[工学-土木工程] 0833[工学-城乡规划学] 083302[工学-城乡规划与设计] 082301[工学-道路与铁道工程] 0823[工学-交通运输工程] 

基　　金：This study was financially supported by the Shenzhen Science and Innovation Commission (JSGG20160428181710653 and JSGG20170412145935322)  

主　　题：Environmentally sensitive areas Urban expressway Geographic information system Low-impact development 

摘      要：Urban eco-environmental degradation is becoming inevitable due to the extensive urbanization, popula- tion growth, and socioeconomic development in China. One of the traffic arteries in Shenzhen is an urban expressway that is under construction and that runs across environmentally sensitive areas （ESAs）. The environmental pollution from urban expressways is critical, due to the characteristics of expressways such as high runoff coefficients, considerable contaminant accumulation, and complex pollutant ingredi- ents. ESAs are vulnerable to anthropogenic disturbances and hence should be given special attention. In order to evaluate the environmental sensitivity along this urban expressway and minimize the influences of the ongoing road construction and future operation on the surrounding ecosystem, the environmental sensitivity of the relevant area was evaluated based on the application of a geographic information sys- tem （GIS）. A final ESA map was classified into four environmental sensitivity levels; this classification indicates that a large proportion of the expressway passes through areas of high sensitivity, representing 11.93 km or 52.3% of the total expressway, and more than 90% of the total expressway passes through ESAs. This study provides beneficial information for optimal layout schemes of initial rainfall runofftreatment facilities developed from low-impact development （LID） techniques in order to minimize the impact of polluted road runoff on the surrounding ecological environment.