Literature DB >> 27707663

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

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

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.
Copyright © 2016 Elsevier B.V. All rights reserved.

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

Year:  2016        PMID: 27707663     DOI: 10.1016/j.scitotenv.2016.09.165

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Water shortage risk assessment considering large-scale regional transfers: a copula-based uncertainty case study in Lunan, China.

Authors:  Xueping Gao; Yinzhu Liu; Bowen Sun
Journal:  Environ Sci Pollut Res Int       Date:  2018-06-05       Impact factor: 4.223

  1 in total

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