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Continuous Distributed Modeling of LID/GI: Scaling from Site to Watershed

机译:LID / GI的连续分布式建模:从站点到流域的缩放

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Better insight into the benefits of LID/GI practices can be gained with a continuous distributed physics-based model that allows us to scale-up from the individual practice to watershed response within a single modeling framework. The conservation laws of rainfall-runoff are used to formulate watershed response for prior conditions and post-construction of LID/GI. Weather radar, when properly quality controlled and enhanced for accuracy, accounts for the local/regional weather affecting the natural, urbanized, and/or modified hydrology of the watershed. By using continuous rainfall data, the modeling and our understanding of how practices affect the hydrologic response is extended beyond single frequency-based approaches. Commonly used synthetic hyetographs, such as the SCS Type Ⅰ, Ⅱ, or Ⅲ temporal distributions, are based on the 25-yr storm frequency depths. With actual rainfall time-series, understanding can be gained as to performance given realistic mean inter-event arrival, depth, duration, and intensity from the historic record. Continuous simulation for a typical year or multiple years reveals how these practices will perform under realistic inputs and with physics-based model assumptions. When sizing LID/GI practices and infrastructure, and in particular, detention volume using synthetic hyetographs as model input rather than using continuous actual rainstorms can result in oversizing of outlet works, and reduced settling times, while underestimation of storage volume can result if successive storms are not taken into account.
机译:通过基于物理的连续分布式模型,可以更好地了解LID / GI实践的好处,该模型使我们能够在单个建模框架内从单个实践扩展到分水岭响应。降雨径流养护法则被用来为LID / GI的先决条件和施工后制定流域响应。天气雷达在受到适当的质量控制并提高准确性后,可以说明影响分水岭自然,城市化和/或改良水文的局部/区域天气。通过使用连续的降雨数据,建模和我们对实践如何影响水文响应的理解已超越了基于单一频率的方法。常用的合成海图仪,例如SCSⅠ,Ⅱ或Ⅲ类时间分布,都是基于25年风暴频率深度的。使用实际的降雨时间序列,可以从历史记录中获得给定的实际平均事件间到达时间,深度,持续时间和强度,从而获得对性能的了解。对典型年份或多年进行的连续仿真揭示了这些实践在实际输入下以及基于物理的模型假设下将如何执行。在确定LID / GI做法和基础设施的大小时,尤其是使用合成油标仪作为模型输入而不是使用连续实际暴雨的滞留量可能会导致出口工程规模过大,并缩短了建立时间,而如果连续暴雨会导致存储量低估不考虑在内。

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