Automatic calibration of SWMM using NSGA-III and the effects of delineation scale on an urban catchment

Swathi, V.; Raju, K. Srinivasa; Varma, Murari R. R.; Srinivasan, Veena

doi:10.2166/hydro.2019.033

Cited by 21 publications

(20 citation statements)

References 21 publications

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“…Depth of water (d) was continuously updated with time by solving numerically by the model. The remaining parameter, Manning roughness value (n) was a variable [24]. Therefore, calibration was carried out on the n values, and it was suggested a range of 0.022 to 0.026 for smooth plain metal roof surfaces [20].…”

Section: ) Model Calibration and Verificationmentioning

confidence: 99%

Case Study of Modular Pre-cast Concrete On-Site Stormwater Detention System during Monsoon Season in Southeast Asia

et al. 2020

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On-site stormwater detention system within a residential property is meant for an environmental protection device that temporarily stores stormwater within the property lot to mitigate flash flood, particularly during rainy seasons brought by the northeast monsoon. A field test was constructed in a house’s car porch with a 4.40 m x 4.70 m x 0.45 m tank filled with precast-concrete modular units with an effective storage volume of 3.97 m3. The system received water from a 95 m2 house roof via 0.1 m diameter pipe, discharged water via 0.05 m diameter pipe. It had recorded six observed storm events coincided with the 2019/2020 monsoon season that consisted 20–50 mm peak hourly rainfall, 0.0007–0.0018 m3 s-1 inflow, 0.0005–0.0012 m3 s-1 outflow and 0.21–0.47 m water level. Another four historical storm events coincided with the monsoon from 2015–2017 were sourced to augment the analysis. A computer model developed using the storm water management model was calibrated and verified using the six observed events. The Kolmogorov-Smirnov goodness of fit tests between the observed and modelled cumulative distributions had produced 0.01–0.14 maximum vertical distances that were lower than the 0.41–0.68 critical values indicating close matches. As such, the calibrated and verified model was used to simulate the historical storm events with 40–50 mm peak hourly rainfall and produced 0.0010–0.0013 m3 s-1 inflow, 0.00072–0.00076 m3 s-1 outflow and 0.41–0.45 m water level. By combining the field test and computer simulation model, it was found the system was able to contain all stormwaters from northeast monsoon. However, it had a weakness which the system was approaching its maximum capacity once the peak hourly rainfall exceeded 45 mm. With such a procedure in place, improvement could be carried out.

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Section: ) Model Calibration and Verificationmentioning

confidence: 99%

Case Study of Modular Pre-cast Concrete On-Site Stormwater Detention System during Monsoon Season in Southeast Asia

et al. 2020

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“…Calibration of any model can also be a time‐consuming process. A nondominated sorting genetic algorithm‐II (NSGA) was used for the autocalibration of SWMM applied to a catchment in Hyderabad, India (Swathi, Raju, Varma, & Sai Veena, 2019). The algorithm maximizes the NSE and correlation coefficient (CC) and minimizes the sum of squared errors (SSE) and percentage error in peak flow (PEP) to find the optimal calibrated parameters for a given rainfall event.…”

Section: General Stormwatermentioning

confidence: 99%

Urban stormwater characterization, control, and treatment

Rodak

Jayakaran

Moore

et al. 2020

Water Environment Research

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This review summarizes over 280 studies published in 2019 related to the characterization, control, and management of urban stormwater runoff. A summary of quantity and quality concerns is provided in the first section of the review, serving as the foundation for the following sections which focus on the control and treatment of stormwater runoff. Finally, the impact of stormwater control devices at the watershed scale is discussed. Each section provides a self-contained overview of the 2019 literature, common themes, and future work. Several themes emerged from the 2019 literature including exploration of substrate amendments for improved water quality effluent from stormwater controls, the continued study of the role of vegetation in green infrastructure practices, and a call to action for the development of new models which generate reliable, computationally efficient results under the physical, chemical, biological, and social complexity of stormwater management. © 2020 Water Environment Federation • Practitioner points • Over 280 studies were published in 2019 related to the characterization, control, and treatment of urban stormwater. • Studies on bioretention and general stormwater characteristics represented the two most common subtopics in 2019. • Trends in 2019 included novel substrate amendments, studies on the role of vegetation, and advancements in computational models.

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“…Most of the hydraulic models are calibrated manually [13], which is labour-intensive and presumes in-depth knowledge of the system's operating conditions. Therefore, automatic calibration (i.e., defining suitable model parameters using optimization algorithms) of a UDS model is suggested to find the values for the key parameters with minimal effort so that the model can accurately predict the response of the physical system, e.g., [13][14][15][16][17][18][19][20]. Jin et al [14] divided the calibration parameters into two groups: universal parameters that change in a relatively small space, and special parameters that can change in a larger space.…”

Section: Introductionmentioning

confidence: 99%

Automatic Calibration Module for an Urban Drainage System Model

Annus

Vassiljev

Kändler

et al. 2021

Water

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The purpose of the study was to present an automated module for the calibration of urban drainage system models. A prepared tool based on the Open Water Analytics toolkit included 12 additional calibration parameters as compared to the existing similar solutions. The module included a gradient optimization method that allowed adjustment of up to five parameters simultaneously, and a trial-and-error method that provided the possibility of testing one or two parameters. The user interface was built in MS Excel to simplify use of the developed tool. The user can select preferable parameters for calibration, choose the optimization method, and determine the limits for the calculated values. The performance and functionality of the automatic calibration module was tested in two scenarios using the drainage model of a 10 ha heavily developed area in Tallinn, Estonia. The calibration results revealed that the maximum deviation between the modelled and measured flow rates was less than 5% for both cases. This is a reasonably good fit for drainage models, which typically encounter numerous uncertainties. Therefore, it was concluded that the module can be successfully used for calibrating hydraulic models created in SWMM5.

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Automatic calibration of SWMM using NSGA-III and the effects of delineation scale on an urban catchment

Cited by 21 publications

References 21 publications

Case Study of Modular Pre-cast Concrete On-Site Stormwater Detention System during Monsoon Season in Southeast Asia

Case Study of Modular Pre-cast Concrete On-Site Stormwater Detention System during Monsoon Season in Southeast Asia

Urban stormwater characterization, control, and treatment

Automatic Calibration Module for an Urban Drainage System Model

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