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首页> 外文期刊>Environmental Science: Water Research & Technology >Emerging investigators series: building a theory for smart stormwater systems
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Emerging investigators series: building a theory for smart stormwater systems

机译:新兴研究者系列:构建智能雨水系统理论

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Retrofitting stormwater systems with sensors and controllers will allow cities to be operated as real-time, distributed treatment plants. Unlike static infrastructure, which cannot adapt its operation to individual storms or changing land uses, "smart" stormwater systems will use system-level coordination to maximize watershed pollutant removal and treatment. We illustrate that this vision is not limited by technology, which has matured to the point at which it can be ubiquitously deployed. Rather, the challenge is much more fundamental and rooted in a system-level understanding of environmental science. Once distributed stormwater systems become highly instrumented and controlled, how should they be operated to achieve desired watershed outcomes? The answer to this question demands the development of a theoretical framework for smart stormwater systems. In this paper, we lay out the requirements for such a theory. Acknowledging that the adoption of these systems may still be years away, we also present a modeling framework to allow for the simulation of controlled stormwater systems before they become commonplace. We apply this control framework to two simulated case studies in which stormwater sites are controlled to reduce nitrate loads to downstream water bodies.
机译:用传感器和控制器改造雨水系统,将使城市可以作为实时的分布式处理厂运行。与静态基础结构无法适应单个风暴或改变土地用途的静态基础设施不同,“智能”雨水系统将使用系统级的协调来最大程度地实现流域污染物的去除和处理。我们说明了这种愿景不受技术的限制,技术已经成熟到可以普遍部署的程度。相反,挑战是更为根本的,并且源于对环境科学的系统级理解。一旦分布式雨水系统得到了高度的仪器和控制,应如何操作它们以达到理想的集水效果?这个问题的答案要求开发智能雨水系统的理论框架。在本文中,我们列出了这种理论的要求。认识到这些系统的采用可能还需要几年的时间,我们还提供了一个建模框架,可以在受控雨水系统变得司空见惯之前对其进行仿真。我们将此控制框架应用于两个模拟案例研究,在该案例中,控制雨水站点以减少下游水体的硝酸盐负荷。

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    Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA;

    Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA;

    Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA;

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