A MATLAB framework for forecasting optimal flow releases in a multi-storage system for flood control

被引:10
|
作者
Leon, Arturo S. [1 ]
Tang, Yun [2 ]
Qin, Li [3 ]
Chen, Duan [4 ]
机构
[1] Florida Int Univ, Dept Civil & Environm Engn, 10555 W Flagler St, Miami, FL 33174 USA
[2] Univ Calif Davis, Dept Civil & Environm Engn, 2001 Ghausi Hall,1 Shields Ave, Davis, CA 95616 USA
[3] Ningbo Univ, Dept Informat Sci & Engn, Ningbo 315211, Peoples R China
[4] Changjiang River Sci Res Inst, Wuhan 430010, Peoples R China
基金
美国国家科学基金会;
关键词
flood control; Genetic algorithms; HEC-DSSVue; HEC-HMS; HEC-RAS; MATLAB; Watershed; ALGORITHMS;
D O I
10.1016/j.envsoft.2019.104618
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper presents a MATLAB framework for forecasting optimal flow releases in a multi-storage system for flood control. This framework combines four widely-used models intended for (1) performing hydrologic analysis for a watershed and for level-pool routing in the storage systems, (2) simulating river inundation, (3) solving the optimization problem of determining hourly optimal flow releases in a multi-storage system, and (4) data management and plotting. The integration of all software is performed in MATLAB, which is a state-of-the-art and an easy-to-use environment for integrating computation, visualization, and programming. This paper focuses on (1) presenting the MATLAB scripts for interfacing the aforementioned four software, (2) describing the rationale for the objective function of the optimization, and (3) demonstrating the practical use of the MATLAB framework by applying it to the operation of a hypothetical eight-pond system in the Cypress Creek watershed in Houston, Texas. The results of the aforementioned application show that this framework could help in mitigating flooding.
引用
收藏
页数:15
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