swmm_mpc demonstration model

This is a SWMM5 model that used for demonstrating swmm_mpc, a Python package for simulating model predictive control using SWMM5 as the process model. swmm_mpc is on github: https://github.com/UVAdMIST/swmm_mpc. To run these, you will need to install the swmm_mpc python package or use the Docker image according to the instructions on the github repo readme. This model was used as a demonstration in the following manuscript:

Sadler, J. M., Goodall, J. L., Behl, M., Morsy, M. M., Culver, T. B., & Bowes, B. D. (2019). Leveraging open source software and parallel computing for model predictive control of urban drainage systems using EPA-SWMM5. Environmental Modelling & Software, 120, 104484. https://doi.org/10.1016/j.envsoft.2019.07.009

本数据集为SWMM5模型，用于演示swmm_mpc——一款以SWMM5作为过程模型，实现模型预测控制（model predictive control）模拟的Python工具包。swmm_mpc的开源仓库托管于GitHub，仓库地址为：https://github.com/UVAdMIST/swmm_mpc。若需运行本演示案例，需按照该GitHub仓库README文档中的指引，安装swmm_mpc Python工具包或使用其提供的Docker镜像。该模型曾作为演示案例应用于以下学术论文：
Sadler, J. M., Goodall, J. L., Behl, M., Morsy, M. M., Culver, T. B., & Bowes, B. D. (2019). *Leveraging open source software and parallel computing for model predictive control of urban drainage systems using EPA-SWMM5*（利用开源软件与并行计算实现基于EPA-SWMM5的城市排水系统模型预测控制）. 《环境建模与软件》, 第120卷, 文章编号104484, DOI：https://doi.org/10.1016/j.envsoft.2019.07.009