Calibration and Verification of SWMM for Low Impact Development

Rosa, David J; Clausen, John C.; Dietz, Michael E.

doi:10.1111/jawr.12272

Cited by 169 publications

(81 citation statements)

References 41 publications

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“…PCSWMM is a software based on the U. S. Environmental Protection Agency (EPA) Storm Water Management Model (SWMM) [38]. SWMM is a well-known model used for hydrodynamic approaches [39][40][41] and also allows for a range of different LID controls to be modeled in a simulation to retain and temporarily store stormwater runoff from a site [29,42,43]. They are represented by a combination of vertical layers with properties defined on a per-unit-area basis.…”

Section: Model Developmentmentioning

confidence: 99%

Modeling the Effects of Introducing Low Impact Development in a Tropical City: A Case Study from Joinville, Brazil

et al. 2018

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Abstract:In tropical countries like Brazil, fast and uncontrolled urbanization, together with high rainfall intensities, makes flooding a frequent event. The implementation of decentralized stormwater controls is a promising strategy aiming to reduce surface runoff and pollution through retention, infiltration, filtration, and evapotranspiration of stormwater. Although the application of such controls has increased in the past years in developed countries, they are still not a common approach in developing countries, such as Brazil. In this paper we evaluate to what extend different low impact development (LID) techniques are able to reduce the flood risk in an area of high rainfall intensities in a coastal region of South Brazil. Feasible scenarios of placing LID units throughout the catchment were developed, analyzed with a hydrodynamic solver, and compared against the baseline scenario to evaluate the potential of flood mitigation. Results show that the performance improvements of different LID scenarios are highly dependent on the rainfall events. On average, a total flood volume reduction between 30% and 75% could be achieved for seven LID scenarios. For this case study the best results were obtained when using a combination of central and decentral LID units, namely detention ponds, infiltration trenches, and rain gardens.

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Section: Model Developmentmentioning

confidence: 99%

Modeling the Effects of Introducing Low Impact Development in a Tropical City: A Case Study from Joinville, Brazil

et al. 2018

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“…On the urban watershed scale, some models of GI impacted watersheds were calibrated with field data: (cf. Rosa et al 2015). Still, most watershed stormwater studies were hypothetical (i.e., without comparison to empirical data) with authors using SWMM to calculate the benefits of future GI scenarios: (Luan et al 2017;Tao et al 2017).…”

Section: Performance Of Models For Lid Unitsmentioning

confidence: 99%

Testing of the Storm Water Management Model Low Impact Development Modules

Platz

Simón

Tryby

2020

J American Water Resour Assoc

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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.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) À9%; 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.(

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“…Efforts are currently underway to study ecological response to watershed-scale LID implementation . Such studies will also provide needed calibration data sets for LID scenario modelsa need underscored in work by Rosa et al (2015). Walsh et al (2015) changes with time, either as a function of system maturation or exposure to changing climate, is also poorly understood (Askarizadeh et al, 2015).…”

Section: Regardlessmentioning

confidence: 99%

Urban Stormwater Characterization, Control, and Treatment

Vogel

Moore²

2016

Water Environment Research

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The following review presents a synthesis of 181 journal articles published during 2015 that represent progress toward better characterizing, controlling, and treating urban stormwater runoff. The review is structured by general topical areas related to (1) stormwater quality and quantity characterization; (2) engineered stormwater control and treatment practices, including erosion and sediment control, stormwater ponds, constructed stormwater wetlands, bioretention, permeable pavement, greenroofs, and rainwater harvesting systems; and (3) watershed-scale modeling and optimization of stormwater control and treatment practices. Common research themes emerging from this collection of studies include potential to enhance hydrologic and pollutant treatment performance of stormwater practices via media amendments and the use of innovative outlet control structures, as well as development of a more mechanistic understanding of hydrologic and water-quality functions to inform modeling and performance predictions. These studies serve to expand the field's knowledge base and will inform future efforts to further improve stormwater control and treatment at various spatial and temporal scales.

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Calibration and Verification of SWMM for Low Impact Development

Cited by 169 publications

References 41 publications

Modeling the Effects of Introducing Low Impact Development in a Tropical City: A Case Study from Joinville, Brazil

Modeling the Effects of Introducing Low Impact Development in a Tropical City: A Case Study from Joinville, Brazil

Testing of the Storm Water Management Model Low Impact Development Modules

Urban Stormwater Characterization, Control, and Treatment

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