Stormwater Detention System Parameter Sensitivity and Uncertainty Analysis Using SWMM

Knighton, James; Lennon, Edward; Bastidas, L. A.; White, Eric

doi:10.1061/(asce)he.1943-5584.0001382

Cited by 34 publications

(22 citation statements)

References 39 publications

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“…The above approaches have their advantages, and have been successfully used in parameter sensitivity analysis, optimization, and uncertainty analysis of water quantity and quality models [ 24 , 36 , 38 ]. GLUE analysis has also been successfully applied in water quantity and quality modeling of wetlands [ 36 , 39 , 40 ]. Given a specific distribution of inputs, the GLUE analysis procedure estimates the likelihood of all possible outcomes for determinations of behavioral parameter sets of a model [ 24 , 36 ].…”

Section: Introductionmentioning

confidence: 99%

Modeling Nitrogen Dynamics in a Waste Stabilization Pond System Using Flexible Modeling Environment with MCMC

Mukhtar

Lin

Shipin

et al. 2017

IJERPH

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This study presents an approach for obtaining realization sets of parameters for nitrogen removal in a pilot-scale waste stabilization pond (WSP) system. The proposed approach was designed for optimal parameterization, local sensitivity analysis, and global uncertainty analysis of a dynamic simulation model for the WSP by using the R software package Flexible Modeling Environment (R-FME) with the Markov chain Monte Carlo (MCMC) method. Additionally, generalized likelihood uncertainty estimation (GLUE) was integrated into the FME to evaluate the major parameters that affect the simulation outputs in the study WSP. Comprehensive modeling analysis was used to simulate and assess nine parameters and concentrations of ON-N, NH3-N and NO3-N. Results indicate that the integrated FME-GLUE-based model, with good Nash–Sutcliffe coefficients (0.53–0.69) and correlation coefficients (0.76–0.83), successfully simulates the concentrations of ON-N, NH3-N and NO3-N. Moreover, the Arrhenius constant was the only parameter sensitive to model performances of ON-N and NH3-N simulations. However, Nitrosomonas growth rate, the denitrification constant, and the maximum growth rate at 20 °C were sensitive to ON-N and NO3-N simulation, which was measured using global sensitivity.

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Section: Introductionmentioning

confidence: 99%

Modeling Nitrogen Dynamics in a Waste Stabilization Pond System Using Flexible Modeling Environment with MCMC

Mukhtar

Lin

Shipin

et al. 2017

IJERPH

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show abstract

“…The model can track the water quality and quantity of runoff generated by each subcatchment at any time, as well as the flow, water depth, and water quality of each pipe and channel. Since its development in 1971, SWMM has undergone several upgrades, and has been widely used around the world for planning, analysis, and design of stormwater, confluent sewers, sewage pipelines, and LID controls [32][33][34][35]. In the model, LID control can be represented by a combination of vertical layers whose properties include thickness and hydrological conductivity.…”

Section: Models Descriptionmentioning

confidence: 99%

The Effect of Sponge City Construction for Reducing Directly Connected Impervious Areas on Hydrological Responses at the Urban Catchment Scale

Liang

Zhang

Xia

et al. 2020

Water

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Low-impact development (LID) has been widely used at both site-specific and local scales to try and mitigate the impact of urban stormwater runoff caused by increasing impervious urban areas. Recently, the concept of a “sponge city” was proposed by the Chinese government, which includes LID controls at the source, a pipe drainage system midway, and a drainage system for excess stormwater at the terminal. There is a need to evaluate the effectiveness of sponge city construction at the large urban catchment scale, particularly with different spatial distributions of LIDs that reduce directly connected impervious areas (DCIAs). In this paper, the performances of five design scenarios with different spatial distributions but same sizes of LID controls at the urban catchment scale were analyzed using a geographic information system (GIS) of the United States Environmental Systems Research Institute (ESRI)—based Storm Water Management Model (SWMM) of the United States Environmental Protection Agency (USEPA) and MIKE 11 of Danish Hydraulic Institute (DHI) in Xining City, China. Results confirmed the effectiveness of sponge city construction in reducing the urban stormwater runoff. The hydrological performance reduction was positively correlated and linearly dependent on DCIA reduction. Peak flow reduction was most sensitive to DCIA reduction, followed by runoff volume and peak time. As rainfall intensity increased, the hydrological performance was more sensitive to rainfall intensity than DCIA reduction. Results of this study provide new insights for stormwater managers to implement LID more effectively at the urban catchment scale.

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“…The modeling part is carried out using XPSWMM, as this software is capable of carrying out modeling of the flood discharges within the drainage network of each catchment, giving the flood event details and the inflows. XPSWMM designs the hydrological and hydraulic elements of most stormwater management systems comprehensively [67]. It involves continuous simulation modeling capacities, various techniques for generating hydrographs, open channel mixtures and closed conduits, looped networks, storage nodes such as lakes, and multiple outages [66,[68][69][70][71].…”

Section: Model Setupmentioning

confidence: 99%

Integrated Hydrological-Hydraulic Model for Flood Simulation in Tropical Urban Catchment

et al. 2019

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In recent decades, Malaysia has become one of the world’s most urbanized nations, causing severe flash flooding. Urbanization should meet the population’s needs by increasing the development of paved areas, which has significantly changed the catchment’s hydrological and hydraulic characteristics. Therefore, the frequency of flash flooding in Malaysia’s urban areas has grown year after year. Numerous techniques have been used, including the statistical approach, modeling, and storm design methods, in flood simulation. This research integrated hydrology and hydraulic models to simulate the urban flood events in the Aur River catchment. The primary objective is to determine water level and forecast peak flow based on hydrological assessment in the drainage system using XPSWMM software. The rainfall data for 60 min was used for this study in the hydrological analysis by obtaining an intensity-duration-frequency curve and peak flow value (Q peak). XPSWMM is used to simulate the response of a catchment to rainfall events in which runoff, water depth profile, and outflow hydrograph are obtained. Peak runoff is also obtained from the modified rational method for validation purposes. The proposed method was verified by comparing the result with the standard method. This is essential to identify flash flooding, which can lead to efficient flood mitigation planning and management in the urban catchment. The increase in residential areas results in the alteration of time of concentration, water quantity, and flow rate. Thus, to mitigate present and future problems, the effects of urbanization on water resources and flood should be analyzed.

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Stormwater Detention System Parameter Sensitivity and Uncertainty Analysis Using SWMM

Cited by 34 publications

References 39 publications

Modeling Nitrogen Dynamics in a Waste Stabilization Pond System Using Flexible Modeling Environment with MCMC

Modeling Nitrogen Dynamics in a Waste Stabilization Pond System Using Flexible Modeling Environment with MCMC

The Effect of Sponge City Construction for Reducing Directly Connected Impervious Areas on Hydrological Responses at the Urban Catchment Scale

Integrated Hydrological-Hydraulic Model for Flood Simulation in Tropical Urban Catchment

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