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

Fariba Zakizadeh, Alireza Moghaddam Nia, Ali Salajegheh, Luis Angel Sañudo-Fontaneda and Nasrin Alamdari
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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

Sustainability, 2022, vol. 14, issue 3, 1-17

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.

Keywords: urban runoff; SWMM model; calibration and validation; pollutants; simulation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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