Improved reliability of stormwater detention basin performance through water quality data-informed real-time control
Improved reliability of stormwater detention basin performance through water quality data-informed real-time control
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DOI：
10.1016/j.jhydrol.2019.03.012
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发表时间：
2018-12
影响因子：
6.4
通讯作者：
S. Sharior;W. McDonald;A. Parolari
中科院分区：
文献类型：
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作者：
S. Sharior;W. McDonald;A. Parolari
雨水滞留池旨在收集雨水，以减少和延迟高峰流量，并改善水质。一种新的技术提出，以改善流域性能是实时，主动控制流域流出，在所谓的“智能”雨水系统。现有的研究表明，主动控制的性能，实时响应流域水位，滞留时间，降雨预报一个或少量的降雨事件。我们假设这些主动控制的性能可以通过将实时水质数据纳入控制算法来提高。此外，我们假设，主动控制性能取决于水文变化，特别是径流输入的频率和强度。在本文中，我们使用蒙特卡罗方法，使用主动和被动雨水流域流出控制系统级可靠性分析的数值建模框架来测试这些假设。分析使用城市水文模型EPA-SWMM驱动的随机降雨时间序列产生的修正Bartlau-Lewis矩形脉冲模型。开发、测试并展示了水质实时主动控制算法，该算法比传统的被动（无控制）系统和其他基于存储的水和污染物捕获主动控制系统有所改进。季节和持续时间曲线分析表明，水位和水质通知控制性能不同的风暴重现期，这种变化可能部分归因于时间的阀门关闭的分数。此外，控制性能是敏感的降雨量的变化，一般减少风暴变得不那么频繁，更强烈。因此，控制系统的性能可能取决于季节性和更长的时间尺度的气候和径流过程的变化。我们预计这项研究是一个起点，将可靠性理论，以评估更复杂的实时控制算法和故障模式下的滞洪区和输送网络的性能。
Stormwater detentions basins are designed to capture stormwater to reduce and delay peak flows and to improve water quality. A novel technology proposed to improve basin performance is real-time, active control of the basin outflow, in so-called “smart” stormwater systems. Existing studies demonstrate the performance of active controls that respond in real-time to basin water level, detention time, and rainfall forecast for one or a small number of rainfall events. We hypothesize that the performance of these active controls can be improved by incorporating real-time water quality data into the control algorithm. In addition, we hypothesize that active control performance depends on hydrologic variability, specifically the frequency and intensity of runoff inputs. In this paper, we test these hypotheses using a numerical modeling framework for systems-level reliability analysis of active and passive stormwater basin outflow control using a Monte Carlo method. The analysis is performed using the urban hydrology model EPA-SWMM driven by stochastic rainfall time-series generated from the Modified Bartlett-Lewis Rectangular Pulses Model. Water quality-informed real-time active control algorithms are developed, tested, and shown to display an improvement over traditional, passive (no control) systems and other storage-based active controls for water and pollutant capture. Seasonal and duration curve analysis showed that water level- and water quality- informed control performance varied for different storm return periods and this variability could partly be attributed to the fraction of time the valve is closed. In addition, control performance was sensitive to rainfall variability, generally decreasing as storms become less frequent and more intense. Therefore, control system performance may depend on seasonal and longer time-scale variability in climate and rainfall-runoff processes. We anticipate this study to be a starting point to incorporate theories of reliability to assess detention basin and conveyance network performance under more complex real-time control algorithms and failure modes.