An improved multi-objective optimization model for supporting reservoir operation of China's South-to-North Water Diversion Project

Yangyang Li; Quan Cui; Chunhui Li; Xuan Wang; Yanpeng Cai; Guannan Cui; Zhifeng Yang

doi:10.1016/j.scitotenv.2016.09.165

An improved multi-objective optimization model for supporting reservoir operation of China's South-to-North Water Diversion Project

Sci Total Environ. 2017 Jan 1:575:970-981. doi: 10.1016/j.scitotenv.2016.09.165. Epub 2016 Oct 2.

Authors

Yangyang Li¹, Quan Cui¹, Chunhui Li², Xuan Wang³, Yanpeng Cai⁴, Guannan Cui¹, Zhifeng Yang¹

Affiliations

¹ State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China; Key Laboratory for Water and Sediment Sciences of Ministry of Education, Beijing Normal University, Beijing 100875, China.
² Key Laboratory for Water and Sediment Sciences of Ministry of Education, Beijing Normal University, Beijing 100875, China. Electronic address: chunhuili@bnu.edu.cn.
³ State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China; Beijing Engineering Research Center for Watershed Environmental Restoration and Integrated Ecological Regulation, School of Environment, Beijing Normal University, Beijing, China. Electronic address: wangx@bnu.edu.cn.
⁴ State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing 100875, China; Beijing Engineering Research Center for Watershed Environmental Restoration and Integrated Ecological Regulation, School of Environment, Beijing Normal University, Beijing, China; Institute for Energy, Environment and Sustainable Communities, University of Regina, Regina, SK, Canada.

PMID: 27707663
DOI: 10.1016/j.scitotenv.2016.09.165

Abstract

An improved multi-objective optimization model based on goal programming (GP) for supporting reservoir operation was developed under inflow senarios of multiple runoff guarantee rates (i.e., 25%, 75%, perennial mean, and 95%) and ecological goals with the combination of steady- and pulse-state ecological water demands. Under these four scenarios, discharge flows of Danjingkou Reservoir would be 358.40, 369.67, 268.91 and 98.14×10⁸m³/a, and those at Taocha Canal headwork would be 104.61, 86.62, 95.08 and 64.00×10⁸m³/a, respectively. The generated results for stream flows could successfully meet the predetermined operational goals for the project. Comparatively, under the scenario of 95% runoff guarantee rate, the obtained strategies could not satisfy the ecological water demands. The modeling results indicated that the capacity of water diversion and storage for Danjiangkou Reservoir would be enhanced due to the operation of the South-to-North Water Diversion Project. The results showed the risks associated with possible flooding would be comparatively low under those four runoff guarantee rates. This represents the current priority for flood control in Danjiangkou Reservoir needs to be changed into multiple ones including ecological water supply, water transfer, as well as downstream water security maintenance.

Keywords: Ecological water demand; Multi-objective optimization; Reservoir operation; Runoff guarantee rate; South-to-North Water Diversion Project.