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A Comparison of Continuous and Event-Based Rainfall–Runoff (RR) Modelling Using EPA-SWMM

机译:使用EPA-SWMM进行连续和基于事件的降雨径流(RR)建模的比较

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This study investigates the comparative performance of event-based and continuous simulation modelling of a stormwater management model (EPA-SWMM) in calculating total runoff hydrographs and direct runoff hydrographs. Myponga upstream and Scott Creek catchments in South Australia were selected as the case study catchments and model performance was assessed using a total of 36 streamflow events from the period of 2001 to 2004. Goodness-of-fit of the EPA-SWMM models developed using automatic calibration were assessed using eight goodness-of-fit measures including Nash–Sutcliff efficiency (NSE), NSE of daily high flows (ANSE), Kling–Gupta efficiency (KGE), etc. The results of this study suggest that event-based modelling of EPA-SWMM outperforms the continuous simulation approach in producing both total runoff hydrograph (TRH) and direct runoff hydrograph (DRH).
机译:这项研究调查了基于事件的连续模拟雨水管理模型(EPA-SWMM)在计算总径流水位图和直接径流水位图方面的比较性能。选择南澳大利亚州的Myponga上游流域和Scott Creek流域作为案例研究流域,并使用2001年至2004年期间的36个水流事件评估了模型性能。使用自动开发的EPA-SWMM模型的拟合优度使用八项拟合优度评估标准校正,包括纳什-苏克利夫效率(NSE),每日高流量的NSE(ANSE),克林-古普塔效率(KGE)等。这项研究的结果表明,基于事件的建模EPA-SWMM在生成总径流水位图(TRH)和直接径流水位图(DRH)方面均优于连续模拟方法。

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