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A Simplified Model for Modular Green Roof Hydrologic Analyses and Design

机译:模块化屋顶绿化水文分析与设计的简化模型

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Green roofs can mitigate urban rooftop stormwater runoff. However, the lack of accurate, physically-based performance assessment and design models has hindered their wide application. Most hydrologic or hydraulic models have no direct connection to the physical properties of green roof components such as media type/depth, drainage depth, etc. In an effort to assist design engineers, a simplified yet effective physically-based model was developed and calibrated with pilot data in order to provide green roof hydrologic performance curves to guide design. Precipitations with depths ranging from 0 to 40 cm and durations 30 to 1440 min were simulated for 21 green roof designs to determine the effects of common physical design parameters. Results revealed that effective capacity and transient capacity are the controlling factors for runoff volume reduction for single precipitation events. Including a water storage feature in the design increased cumulative long-term runoff reduction by an average of 23.5%, whereas increasing growth media depth yielded an average 5.3% improvement. Peak reduction and peak delay are governed by media depth and drainage opening size. Study results indicate that LEED criteria should be modified to require specific designer-controlled parameters of storage and media depth for the design storm to ensure desired performance.
机译:绿化屋顶可以缓解城市屋顶雨水径流。但是,缺乏准确的,基于物理的性能评估和设计模型阻碍了它们的广泛应用。大多数水文或水力模型都与屋顶绿化组件的物理特性(例如介质类型/深度,排水深度等)没有直接关系。为了协助设计工程师,开发了一种简化而有效的基于物理的模型,并对其进行了校准。试点数据,以提供屋顶绿化水文性能曲线,以指导设计。针对21个屋顶绿化设计,模拟了深度在0到40 cm之间,持续时间在30到1440分钟之间的降水,以确定常见物理设计参数的影响。结果表明,有效容量和暂态容量是单个降雨事件减少径流量的控制因素。设计中包括蓄水功能,使长期长期径流累计减少平均23.5%,而增加生长介质的深度则平均增加5.3%。峰值减少和峰值延迟取决于介质深度和排水口尺寸。研究结果表明,应修改LEED标准,以要求设计者控制存储的特定参数和介质深度,以应对设计风暴,以确保达到理想的性能。

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