Testing of the Storm Water Management Model Low Impact Development Modules. (3rd March 2020)

• Record Type: Journal Article
• Authors: Platz, Michelle; Simon, Michelle; Tryby, Michael
• Is Part Of: Journal of the American Water Resources Association. Volume 56:Number 2(2020)
• Page Start: 283
• Page End: 296
• Publication Date: 2020-03-03
• Subjects: Storm Water Management Model -- SWMM -- Parameter Estimation Model -- PEST -- low impact development -- LID -- Storm Control Measure -- SCM -- Model Testing -- green infrastructure -- GI; Water-supply -- Periodicals; Hydrology -- Periodicals; Water resources development -- Periodicals; Water resources development -- Environmental aspects -- Periodicals; 333.9100973
• DOI: 10.1111/1752-1688.12832
• Languages: English
• ISSNs: 1093-474X

Abstract

Abstract: Stormwater infrastructure designers and operators rely heavily on the United States Environmental Protection Agency's Storm Water Management Model (SWMM) to simulate stormwater and wastewater infrastructure performance. Since its inception in the late 1970s, improvements and extensions have been tested and evaluated rigorously to verify the accuracy of the model. As a continuation of this progress, the main objective of this study was to quantify how accurately SWMM simulates the hydrologic activity of low impact development (LID) storm control measures. Model performance was evaluated by quantitatively comparing empirical data to model results using a multievent, multiobjective calibration method. The calibration methodology utilized the PEST software, a Parameter ESTimation tool, to determine unmeasured hydrologic parameters for SWMM's LID modules. The calibrated LID modules' Nash–Sutcliffe efficiencies averaged 0.81; average percent bias (PBIAS) −9%; average ratio of root mean square error to standard deviation of measured values 0.485; average index of agreement 0.94; and the average volume error, simulated vs. observed, was +9%. SWMM accurately predicted the timing of peak flows, but usually underestimated their magnitudes by 10%. The average volume reduction, measured outflow volume divided by inflow volume, was 48%. We had more difficulty in calibrating one study, an infiltration trench, which identified a significant limitation of the current version of the SWMM LID module; it cannot simulate lateral exfiltration of water out of the storage layers of a LID storm control measure. This limitation is especially severe for a deep LIDs, such as infiltration trenches. Nevertheless, SWMM satisfactorily simulated the hydrologic performance of eight of the nine LID practices. Abstract : Research Impact Statement : This work was performed to test the low impact development modules in SWMM, a model used by practitioners to assist in sizing stormwater and wastewater infrastructure.