Reachability Analysis as a Design Tool for Stormwater Systems
Reachability Analysis as a Design Tool for Stormwater Systems
复制标题
可达性分析作为雨水系统的设计工具
DOI：
10.1109/sustech.2018.8671362
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Tomlin, Claire J.
中科院分区：
文献类型：
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作者：
Chapman, Margaret P.;Smith, Kevin M.;Cheng, Victoria;Freyberg, David L.;Tomlin, Claire J.
有效的雨水管理需要安全运行的系统，并以具有成本效益的方式改善环境成果。然而，当前的设计实践通常假设给定的系统开始为空并且独立于附近的雨水基础设施运行来评估性能。有一个突出的需要更现实的设计阶段的性能指标，考虑到一个更大的初始条件和耦合动态的影响。为此，我们应用控制理论的方法，称为可达性分析，产生一个更客观的衡量系统的鲁棒性。我们在这项工作中寻求两个主要贡献。首先，我们演示了如何应用可达性分析的动态模型的雨水网络可以表征一组初始条件，网络中的每个元素可以避免溢出下一个给定的地表径流信号的有限持续时间。据作者所知，这是第一次发表的应用可达性分析的雨水系统。我们的第二个贡献是提供一个解释的结果，建议的可达性分析作为衡量系统的鲁棒性，可以提供有用的信息时，作出关键的设计决策。我们说明了这种方法的有效性，揭示了特定的设计选择相对于所需的鲁棒性水平的权衡。
Effective stormwater management requires systems that operate safely and deliver improved environmental outcomes in a cost-effective manner. However, current design practices typically evaluate performance assuming that a given system starts empty and operates independently from nearby stormwater infrastructure. There is a conspicuous need for more realistic design-phase indicators of performance that consider a larger set of initial conditions and the effects of coupled dynamics. To this end, we apply a control-theoretic method, called reachability analysis, to produce a more objective measure of system robustness. We seek two primary contributions in this work. First, we demonstrate how the application of reachability analysis to a dynamic model of a stormwater network can characterize the set of initial conditions from which every element in the network can avoid overflowing under a given surface runoff signal of finite duration. This is, to the authors' knowledge, the first published application of reachability analysis to stormwater systems. Our second contribution is to offer an interpretation of the outcomes of the proposed reachability analysis as a measure of system robustness that can provide useful information when making critical design decisions. We illustrate the effectiveness of this method in revealing the trade-offs of particular design choices relative to a desired level of robustness.