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Efficient Urban Runoff Quantity and Quality Modelling Using SWMM Model and Field Data in an Urban Watershed of Tehran Metropolis

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  • Fariba Zakizadeh

    (Department of Arid and Mountainous Regions Reclamation, Faculty of Natural Resources, University of Tehran, Karaj 31587-77871, Iran)

  • Alireza Moghaddam Nia

    (Department of Arid and Mountainous Regions Reclamation, Faculty of Natural Resources, University of Tehran, Karaj 31587-77871, Iran)

  • Ali Salajegheh

    (Department of Arid and Mountainous Regions Reclamation, Faculty of Natural Resources, University of Tehran, Karaj 31587-77871, Iran)

  • Luis Angel Sañudo-Fontaneda

    (GICONSIME Research Group, INDUROT Research Institute, Department of Construction and Manufacturing Engineering, Campus of Mieres, University of Oviedo, Gonzalo Gutierrez Quirós s/n, 33600 Mieres, Spain)

  • Nasrin Alamdari

    (Resilient Infrastructure and Disaster Response (RIDER) Center, Department of Civil and Environmental Engineering, FAMU-FSU College of Engineering, Tallahassee, FL 32310, USA)

Abstract

This study aims to calibrate and validate the EPA Storm Water Management Model from field measurements of rainfall and runoff, in order to simulate the rainfall-runoff process in an urban watershed of Tehran metropolis, Iran. During and after three significant storm events, the flow rates, total suspended solids (TSS), total phosphorus (TP), and total Kjeldahl nitrogen (TKN) concentrations were measured at the outlet of the catchment, and were used in the model calibration and validation process. The performance of the SWMM model was evaluated based on the statistical criteria, as well as graphical techniques. In this study, a local sensitivity analysis was carried out to identify the key model parameters, show that “the percentage of impervious surface in each subwatershed had the most effect on the model output”. Based on the analysis of the results, SWMM model calibration and validation can be judged as satisfactory, and the goodness-of-fit indices for simulating runoff quality and quantity are placed in acceptable ranges. The adjustment obtained for the variations in the measured and simulated flow rates, pollutograph concentrations, total pollutant load, peak concentration, and the event mean concentration (EMC) confirms the considerable predictive capability of the SWMM model when it is well calibrated by using field measurements.

Suggested Citation

  • Fariba Zakizadeh & Alireza Moghaddam Nia & Ali Salajegheh & Luis Angel Sañudo-Fontaneda & Nasrin Alamdari, 2022. "Efficient Urban Runoff Quantity and Quality Modelling Using SWMM Model and Field Data in an Urban Watershed of Tehran Metropolis," Sustainability, MDPI, vol. 14(3), pages 1-17, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1086-:d:727499
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    References listed on IDEAS

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    1. K. Sowmya & C. John & N. Shrivasthava, 2015. "Urban flood vulnerability zoning of Cochin City, southwest coast of India, using remote sensing and GIS," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 1271-1286, January.
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    Cited by:

    1. Yuanyuan Yang & Wenhui Zhang & Zhe Liu & Dengfeng Liu & Qiang Huang & Jun Xia, 2023. "Coupling a Distributed Time Variant Gain Model into a Storm Water Management Model to Simulate Runoffs in a Sponge City," Sustainability, MDPI, vol. 15(4), pages 1-13, February.

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