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.

本文提出了一个用于预测防洪多存储系统中最优流量释放的MATLAB框架。该框架结合了四个广泛使用的模型，这些模型旨在（1）对流域和存储系统中的水位池路线进行水文分析，（2）模拟河流淹没，（3）解决确定每小时最佳流量释放的优化问题。在多存储系统中，以及（4）数据管理和绘图。所有软件的集成都是在MATLAB中执行的，这是一个用于集成计算，可视化和编程的最新技术和易于使用的环境。本文的重点是（1）提供用于连接上述四个软件的MATLAB脚本，（2）描述优化目标函数的基本原理，（3）通过将MATLAB框架应用于得克萨斯州休斯敦的Cypress Creek流域的一个假设的八池系统的操作，来演示MATLAB框架的实际使用。前面提到的应用程序的结果表明，该框架可以帮助缓解洪灾。