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Unit Process Simulation of a Biolnfiltration Stormwater Control Measure

机译:生物渗透雨水控制措施的单元过程模拟

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In many areas the design standards for bioinfiltration stormwater control measures (SCM) are based upon generalized parameters or rules of thumb. While these procedures were valuable in initiating the green infrastructure approach to stormwater management, the rules of thumb are conservative, as it is unclear how weather, soil conditions, storm frequencies, and the "Treatment Train Approach," affect the stormwater control measure's performance. This approach leads to a conservative design, and in some cases steers the SCM selection away from green practices.Current stormwater management simulation software do not have the ability to precisely model an infiltration SCM utilizing site and climate factors for continuous events. Models of this type are generally too simple (e.g. specify an infiltration rate) or too complex (e.g. discretization for Richards equation solution); either way they are not effective design tools. Due to this deficiency, current SCM design guidelines do not accurately reflect a basin's capacity to dynamically infiltrate stormwater runoff over varying conditions. Excluding dynamic infiltration can - and will - generally result in BMP over-design or under-reporting of its effectiveness, especially in continuous flow modeling. A new model for ponded infiltration is introduced based on Philip's ponded infiltration equation and modified to work for infiltration devices. The model is easily parameterized for engineering use, requiring only knowledge of the bowl shape and USDA soil classification. The current limitation of the model and area of ongoing research is that for the model to be used in a continuous simulation environment, it requires an effective soil moisture accounting model. When the soil moisture can be estimated, then the model can be evaluated on a per-storm basis. This single-event correlation has been simulated at an infiltration basin at Villanova University in southeast Pennsylvania (sandy clay loam soil type). This correlation shows that the model has the ability to accurately reflect the physics of the ponded infiltration process at an infiltration BMP, and clearly shows how variable the infiltration is in relation to the soil moisture, and how current methods under-estimate dynamic infiltration.
机译:在许多地区,生物浸润雨水控制措施(SCM)的设计标准都基于通用参数或经验法则。尽管这些程序对于启动绿色基础设施方法进行雨水管理很有价值,但经验法则是保守的,因为尚不清楚天气,土壤条件,暴雨频率和“处理方法”如何影响雨水控制措施的性能。这种方法导致了保守的设计,并且在某些情况下使SCM选择脱离了绿色实践。 当前的雨水管理模拟软件无法利用场地和气候因素对连续事件进行精确的入渗SCM建模。这种类型的模型通常太简单(例如,指定渗透率)或太复杂(例如,对于Richards方程解的离散化);无论哪种方式,它们都不是有效的设计工具。由于这种缺陷,当前的SCM设计指南无法准确反映流域在不同条件下动态渗入雨水径流的能力。排除动态渗透通常会导致BMP设计过度或有效性不足,特别是在连续流建模中。在菲利普的入渗方程基础上,引入了一种新的入渗模型,并对其进行了改进以适用于入渗装置。该模型易于参数化,可用于工程用途,只需要了解碗形和USDA土壤分类的知识即可。该模型和正在进行的研究领域的当前局限性在于,要在连续模拟环境中使用该模型,它需要一个有效的土壤水分核算模型。当可以估算土壤湿度时,就可以在每次暴风雨的基础上对模型进行评估。在宾夕法尼亚州东南部维拉诺瓦大学的一个浸润盆地(砂质壤土)上模拟了这种单事件相关性。这种相关性表明,该模型能够准确地反映入渗BMP中所考虑的入渗过程的物理过程,并清楚地显示出入渗与土壤水分的关系如何变化,以及当前的方法如何低估了动态入渗。

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