Automatic calibration of the US EPA SWMM model for a large urban catchment
Automatic calibration of the US EPA SWMM model for a large urban catchment
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DOI：
10.1061/(asce)0733-9429(2008)134:4(466
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发表时间：
2008-04-01
期刊：
影响因子：
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通讯作者：
Stenstrom, Michael K.
中科院分区：
文献类型：
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作者：
Barco, Janet;Wong, Kenneth M.;Stenstrom, Michael K.
对Ballona Creek流域（南加州的一个大型城市集水区）的雨水管理模型进行了调整和校准。一个地理信息系统（GIS）被用来处理输入数据，并产生降水的空间分布。一个优化程序，使用复杂的方法来估计径流参数，并使用10个风暴进行校准和验证。经校准的模型以合理的精度预测了观测到的输出。敏感性分析表明，模型参数的影响，结果是最敏感的不透水和不透水的凹陷存储和最不敏感的曼宁粗糙度的表面流。优化的不透性大于从土地利用信息预测的不透性。结果表明，这种方法集成GIS和雨水模型与约束优化技术可以应用于大流域。
The Storm Water Management Model was adapted and calibrated to the Ballona Creek Watershed, a large urban catchment in Southern California. A geographic information system (GIS) was used to process the input data and generate the spatial distribution of precipitation. An optimization procedure using the complex method was incorporated to estimate runoff parameters, and ten storms were used for calibration and validation. The calibrated model predicted the observed outputs with reasonable accuracy. A sensitivity analysis showed the impact of the model parameters, and results were most sensitive to imperviousness and impervious depression storage and least sensitive to Manning roughness for surface flow. Optimized imperviousness was greater than imperviousness predicted from land-use information. The results demonstrate that this methodology of integrating GIS and stormwater model with a constrained optimization technique can be applied to large watersheds.