title: Simulation and evaluation of pollution load reduction scenarios for water environmental management: a case study of inflow river of Taihu Lake, China.
abstract: In the beginning of the 21st century, the deterioration of water quality in Taihu Lake, China, has caused widespread concern. The primary source of pollution in Taihu Lake is river inflows. Effective pollution load reduction scenarios need to be implemented in these rivers in order to improve the water quality of Taihu Lake. It is important to select appropriate pollution load reduction scenarios for achieving particular goals. The aim of this study was to facilitate the selection of appropriate scenarios. The QUAL2K model for river water quality was used to simulate the effects of a range of pollution load reduction scenarios in the Wujin River, which is one of the major inflow rivers of Taihu Lake. The model was calibrated for the year 2010 and validated for the year 2011. Various pollution load reduction scenarios were assessed using an analytic hierarchy process, and increasing rates of evaluation indicators were predicted using the Delphi method. The results showed that control of pollution from the source is the optimal method for pollution prevention and control, and the method of "Treatment after Pollution" has bad environmental, social and ecological effects. The method applied in this study can assist for environmental managers to select suitable pollution load reduction scenarios for achieving various objectives.
authors.affiliation: State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210046, China. zhangrb88@126.com.
authors.forename: Ruibin
authors.initials: R
authors.lastname: Zhang
authors.affiliation: State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210046, China. xqian@nju.edu.cn.
authors.forename: Xin
authors.initials: X
authors.lastname: Qian
authors.affiliation: State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210046, China. dtzwt1987@126.com.
authors.forename: Wenting
authors.initials: W
authors.lastname: Zhu
authors.affiliation: State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210046, China. njughl@gmail.com.
authors.forename: Hailong
authors.initials: H
authors.lastname: Gao
authors.affiliation: State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210046, China. huw913@gmail.com.
authors.forename: Wei
authors.initials: W
authors.lastname: Hu
authors.affiliation: State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210046, China. huawangjin@163.com.
authors.forename: Jinhua
authors.initials: J
authors.lastname: Wang
mesh_terms: D002681:China; D003198:Computer Simulation; D003697:Delphi Technique; D004784:Environmental Monitoring / Q000379:methods*; D060106:Lakes / Q000032:analysis*; D008962:Models, Theoretical; D045483:Rivers; D014877:Water Pollution, Chemical / Q000517:prevention & control*; D060753:Water Quality