A MATLAB framework for forecasting optimal flow releases in a multi-storage system for flood control
A MATLAB framework for forecasting optimal flow releases in a multi-storage system for flood control
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DOI：
10.1016/j.envsoft.2019.104618
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发表时间：
2020-03
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影响因子：
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通讯作者：
Arturo S. Leon;Yun Tang;L. Qin;Duan Chen
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文献类型：
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作者：
Arturo S. Leon;Yun Tang;L. Qin;Duan Chen
本文提出了一个 MATLAB 框架，用于预测防洪多蓄水系统中的最佳流量释放。该框架结合了四种广泛使用的模型，旨在（1）对流域和存储系统中的水位池路由进行水文分析，（2）模拟河流淹没，（3）解决确定多存储系统中每小时最佳流量释放的优化问题，以及（4）数据管理和绘图。所有软件的集成均在 MATLAB 中进行，这是一个用于集成计算、可视化和编程的最先进且易于使用的环境。本文重点介绍 (1) 介绍用于连接上述四种软件的 MATLAB 脚本，(2) 描述优化目标函数的基本原理，以及 (3) 通过将 MATLAB 框架应用于德克萨斯州休斯顿 Cypress Creek 流域的假设八个池塘系统的运行来演示 MATLAB 框架的实际用途。上述应用的结果表明，该框架有助于减轻洪水。
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.