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Modeling Low Impact Development Water Quality BMPs with IDEAL

机译:使用IDEAL对低影响开发水质BMP进行建模

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IDEAL (Integrated Design, Evaluation and Assessment of Loadings)is an object based model developed to predict water quality benefits of LID (Low Impact Development) and/or BMPs (Best Management Practices) in urban post construction watersheds. The paper describes scenarios from Greenville County, SC, using local rainfall and soils information. Results of this modeling effort are intended to show the effectiveness of various treatment trains. LID concepts and BMPs modeled include disconnecting storm drains, use of rain gardens, bioretention cells, bioswales, sand filters, and VFS. Comparison is made with the use of LID concepts and BMPs with undevelopedatural land uses. IDEAL features the capability of predicting distributed source area generation of runoff, sediment, nutrients, and pathogens in post construction watersheds. Procedures are also available to apply the model to the urban fringe areas. The graphical user interface features drop and drag capability and works for large numbers of sub-watershed source areas, conveyances, and BMPs arranged in treatment trains. Numbers and sizes of sub-watersheds are limited only by computational time and appropriateness of the conveyance objects. BMPs are modeled with process-based algorithms that take into account mass continuity and the processes of infiltration, settling, and sorption for chemicals and pathogens as well as mortality and growth for pathogens. Interarrival time of storms is considered, and rainfall input can be either single storm or a matrix of conditional probability of rainfall amounts, seasons, and infiltration or curve numbers.
机译:IDEAL(负荷的集成设计,评估和评估)是一种基于对象的模型,旨在预测LID(低影响开发)和/或BMP(最佳管理实践)在城市建设后流域的水质优势。本文使用当地的降雨和土壤信息描述了南卡罗来纳州格林维尔县的情景。该建模工作的结果旨在显示各种治疗方法的有效性。建模的LID概念和BMP包括断开雨水渠,使用雨水花园,生物保留单元,生物流,沙滤器和VFS。将LID概念和BMP与未开发/自然土地用途进行比较。 IDEAL具有预测施工后流域中径流,沉积物,养分和病原体的分布源区域生成的功能。还提供了将模型应用于城市边缘地区的程序。图形用户界面具有拖放功能,可用于处理流程中布置的大量子流域源区域,运输工具和BMP。子集水区的数量和大小仅受运输对象的计算时间和适当性限制。使用基于过程的算法对BMP进行建模,该算法考虑了质量连续性以及化学物质和病原体的渗透,沉降和吸附过程以及病原体的死亡率和生长过程。考虑暴风雨的到达时间,降雨输入可以是一次暴风雨,也可以是降雨量,季节,入渗量或曲线数的条件概率矩阵。

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