Quantifying the performance of dual-use rainwater harvesting systems.
Quantifying the performance of dual-use rainwater harvesting systems.
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DOI：
10.1016/j.wroa.2020.100081
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发表时间：
2021-01-01
期刊：
影响因子：
7.5
通讯作者：
Stovin V
中科院分区：
文献类型：
--
作者：
Quinn R;Rougé C;Stovin V
城市环境中的雨水收集系统越来越依赖于提供额外的供水，以减轻洪水泛滥。已经提出了支持其双重用途的替代设计。雨水管理绩效通常通过长期平均值来评估。然而，长期评估与减少短时间高强度降雨事件影响的目标并不一致。本文为评估设计方案的两用性能提供了一个框架。该框架结合了一套雨水管理指标，在重大降雨事件期间提供了强有力的性能特征。对于通常的长期容量保留指标，我们添加：1)代表开发前（绿地）径流率以上的总量和持续时间的指标；2)基于显著降雨事件的代表性样本的长期中位数的稳健峰值流出率和保留效率。我们对可选两用设计的多标准性能可视化强调了精心设计内置在主动系统中的基于预测的控制释放机制的重要性。这项工作对我们将要讨论的设计指导标准有直接的影响。现有的RWH性能指标忽略了基于风暴事件的径流量。我们提出了一个包含七个绩效指标的框架。雨水控制指标处理日常和重大事件的性能。性能指标对需求的敏感性取决于配置。流动持续时间曲线可以为监管标准提供合适的基础。
Rainwater harvesting systems in urban settings are increasingly relied upon to mitigate pluvial flooding on top of providing an additional water supply. Alternative designs have been proposed to support their dual use. Stormwater management performance is typically evaluated through long-term averages. However, long-term assessment is not aligned with the goal of attenuating the impacts of short duration high-intensity rainfall events. This paper contributes a framework for evaluating the dual-use performance of design alternatives. The framework incorporates a set of stormwater management metrics that provides a robust characterisation of performance during significant rainfall events. To the usual long-term volumetric retention metric, we add: 1) metrics that represent the total volume and duration above predevelopment (greenfield) runoff rates; and 2) robust peak outflow rate and retention efficiencies based on the long-term median of a representative sample of significant rainfall events. Our multi-criteria performance visualisations of alternative dual-use designs highlight the importance of carefully designing the forecast-based controlled release mechanisms built into active systems. This work has direct implications for design guidance standards, which we discuss. Existing RWH performance metrics ignore storm event-based runoff quantities. We propose a framework comprising seven performance metrics. Stormwater control metrics address routine and significant event performance. The sensitivity of performance metrics to demand is configuration specific. A flow duration curve may provide a suitable basis for regulatory standards.
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