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

School of Natural and Built Environments, University of South Australia, Mawson Lakes 5095, Australia
Author to whom correspondence should be addressed.
Water 2019, 11(3), 611;
Received: 11 December 2018 / Revised: 18 March 2019 / Accepted: 21 March 2019 / Published: 24 March 2019
(This article belongs to the Special Issue Catchment Modelling)
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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). View Full-Text
Keywords: EPA-SWMM; rainfall–runoff modelling; event-based model; continuous simulation EPA-SWMM; rainfall–runoff modelling; event-based model; continuous simulation

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Hossain, S.; Hewa, G.A.; Wella-Hewage, S. A Comparison of Continuous and Event-Based Rainfall–Runoff (RR) Modelling Using EPA-SWMM. Water 2019, 11, 611.

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