Surface water quality modeling of Goorsuzan estuary in Bandar Abbas using SWMM rainfall-runoff model,

Document Type : Research Paper

Authors

1 Water Resource Management, Department of Water Engineering, Faculty of Civil and Surveying Engineering, Graduate University of Advanced Technology, Kerman, Iran.

2 Department of Energy, Institute of Science and High Technology and Environmental Science, Graduate University of Advanced Technology, Kerman, Iran.

3 Department of Ecology, Institute of Science and High Technology and Environmental Science, Graduate University of Advanced Technology, Kerman, Iran.

10.22059/jwim.2022.340478.1017

Abstract

Due to population growth and industrial progress, the only important issue isn`t the lack of water resources, but besides that, the issues of runoff management, its quality, and urban wastewater management are also important. In this research, Khoorsuzan estuary located in Bandar Abbas city, Hormozgan province, was studied in terms of water quality. SWMM rainfall-runoff dynamic model was used for quality modeling of regional runoff. Hydraulic modeling was done for four precipitation events. The results of the sensitivity analysis showed that three parameters, percentage of impermeability of sub-basins, curve number and channel roughness coefficient, were the most effective parameters, respectively. Calibration and verification were done based on the objective functions of MRE and N.S. Its results were within the very good range of matching the model with the observational data for four times. Finally, qualitative modeling was done for four target pollutants, including COD, TDS, NO2 and PO4, and the qualitative results showed that the model was in good agreement with the observational laboratory data. At the end, three scenarios were considered to solve the problem. The first scenario showed the reduction of TDS pollutant concentration up to 84.52%. The results of the second scenario for COD, NO2 and PO4 pollutants reduced up to 100% and the application of the third scenario effectively reduced TDS, PO4, COD and NO2 pollutants. Based on the results of this research, the amount of water pollution around Khoorsuzan without wastewater management is more than the standard and the runoff from rainfall does not help to reduce pollution.

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Main Subjects


  1. Ahmadi, Z., Shahnazari, A., Fazlavali, R., & Ashrafzade, A. (2012). Investigation of adequacy of Masal City Drainage Network and Suggestions for Improvement by Using MIKESWMM Model. Iranian Water Research Journal. (In Persian)
  2. Cochran, J. K., & Brook, S. (2014). Estuaries. 1-4. https: //doi.org/10.1016/B978-0-12-409548-9.09151-X
  3. Council, N. R. (1993). Managing wastewater in coastal urban area. National Academy Press.
  4. Gironás, J., Roesner, L.A., Rossman, L.A., & Davis, J. (2010). A new applications manual for the Storm Water Management Model (SWMM). Environmental Modelling and Software, 25(6), 813-814. https: //doi.org/10.1016/j.envsoft.2009.11.009
  5. Hassan, M., Zwain, H. M., & Hammed, W. (2021). Results in Engineering Modeling the impacts of climate change and flooding on sanitary sewage system using SWMM simulation : A case study. Results in Engineering, 12, 100307. https: //doi.org/10.1016/j.rineng.2021.100307
  6. Heydarzade, M. (2017). The Impacts of Climate Change on Peak Dischrge and Flood Prone Areas of Urban Estuaries (Case Study: Parts of Bandar Abbas City). P.H.D thesis, Hormozgan University. (In Persian)
  7. Metcalf & Eddy , George Tchobanoglous , H. Stensel, Ryujiro Tsuchihashi, F. B. (1994). Wastewater Engineering: Treatment and Resource Recovery 5th Edition (5th ed.). McGraw Hill; 5th edition (September 3, 2013).
  8. Kaboli, H., Moazed, H., Delghandi, M., & Hemmati, M. (2009). Quantitative and qualitative prediction of surface wastewater in urban basins using software EPASWMM. Fifth National Conference on Watershed Management Science and Engineering of Iran. (In Persian)
  9. Aminizade, K. (1401). Surface water quality modeling in Goorsuzan estuary using SWMM. Master thesis, Graguate University of Advanced Technology, Kerman. (In Persian)
  10. Kong, F., Ban, Y., Yin, H., James, P., & Dronova, I. (2017). Modeling stormwater management at the city district level in response to changes in land use and low impact development. Environmental Modelling and Software, 95, 132-142. https: //doi.org/10.1016/j.envsoft.2017.06.021
  11. Madrazo-Uribeetxebarria, E., Garmendia Antín, M., Almandoz Berrondo, J., & Andrés-Doménech, I. (2021). Sensitivity analysis of permeable pavement hydrological modelling in the Storm Water Management Model. Journal of Hydrology, 600(126525). https: //doi.org/10.1016/j.jhydrol.2021.126525
  12. Moura Rezende, O., Ribeiro da Cruz de Franco, A. B., Beleño de Oliveira, A. K., Pitzer Jacob, A. C., & Gomes Miguez, M. (2019). A framework to introduce urban flood resilience into the design of flood control alternatives. Journal of Hydrology, 576, 478-493. https: //doi.org/10.1016/j.jhydrol.2019.06.063
  13. Payande, A., Hadizade zaker, N., & Niksokhan, M. (2015). Numerical assessment of nutrient assimilative capacity of Khur-e-Musa in the Persian Gulf. Environ Monit Assess, 187(4097). (In Persian)
  14. Randall, M., Sun, F., Zhang, Y., & Jensen, M. B. (2019). Evaluating Sponge City volume capture ratio at the catchment scale using SWMM. Journal of Environmental Management, 246(May), 745-757. https: //doi.org/10.1016/j.jenvman.2019.05.134
  15. Rezayi, F., Bahremand, A., Bedri sheykh, V., Dastoorani, M., & Tajbakhsh, M. (2019). Calibration and Evaluation of the SWMM Model in Runoff Simulation in District 9 of Mashhad City. Water and Sustainable Development, 5(2). https: //doi.org/10.22067/jwsd.v5i2.67930. (In Persian)
  16. Robert, W., Black, P. W., & Moran, J. F. (2010). Response of algalmetrics to nutrients and physical factors and identificationof nutrient thresholds in agricultural strams. Environmental Monitoring and Assessment.
  17. Rossman, L. A., Envronmental Scientist, E. U. S. E. P. A., & National. (2015). Storm Water Management Model User’s Manual Version 5 . 1.
  18. Saltelli, A., Tarantola, S., & Campolongo, F. (2000). Sensitivity analysis as an ingredient of modeling. In Statistical Science, 15(4), 377-395. https: //doi.org/10.1214/ss/1009213004
  19. Smith, R. A., Schwarz, G. E., & Alexander, R. B. (1997). Regional inter-pretation of the water quality monitoring data. Water Resource Research, 2781-2798.
  20. Todeschini, S., Papiri, S., & Ciaponi, C. (2012). Performance of stormwater detention tanks for urban drainage systems in northern Italy. Journal of Environmental Management, 101(2003). https: //doi.org/10.1016/j.jenvman.2012.02.003
  21. Toranjian, A. (2018). Modeling runoff quantity and quality in Hamedan urban catchment using storm water management (SWMM). Master thesis, Ali Sina University- BU. (In Persian)
  22. Ven Te Chow. (1988). Applied Hydrology (Internatio). ‎ McGraw-Hill Publishing Company.
  23. Cosgrove, W. J., & Rijsberman, F. R. (2014). World water vision: making water everybody’s business. Routledge. https: //doi.org/http: //dx.doi.org/10.4324/9781315071763
  24. Yousefi, A., Khalilian, S., & Balali, H. (2011). Strategic Importance of Water in Iranian Overall Economy: A CGE Modeling Approach. Journal Od Agriculture Economics and Development, 25(1). (In Persian)
  25. Zeng, Z., Yuan, X., Liang, J., & Li, Y. (2021). Designing and implementing an SWMM-based web service framework to provide decision support for real-time urban stormwater management. Environmental Modelling and Software, 135. (September 2020), 104887. https: //doi.org/10.1016/j.envsoft.2020.104887