Evaluation of Rainfall-Runoff Model in the Simulation of Flood Hydrograph in April 2018; a Case Study of Karkheh Basin
Subject Areas : Water resources managementNajmeh Fooladi 1 , Ahmad Sharafati 2 * , Tayeb Raziei 3
1 - Ph.D. Candidate, Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2 - Associate Professor, Civil Engineering Department, Science and Research Branch, Islamic Azad. University, Tehran, Iran
3 - Assistant Professor, Soil Conservation and Watershed Management Research Institute, Tehran, Iran.
Keywords: Karkheh basin, flood hydrograph, Curve Number, HEC-HMS model, hydrologic modelling,
Abstract :
Background and Aim: Heavy and consecutive rains at early April of 2018 led to severe floods in large parts of Iran, especially in the Karkheh basin, which was accompanied by huge damages. The average rainfall in the Karkhe dam basin for the event of April 4-7, 2018 was about 87 mm, and for the event of April 11-17, 2018, it was nearly 108 mm. For the flood management by the reservoir, estimation of the peak discharge and flood hydrograph is essential in order to predict the hydrological behavior of the basin. Rainfall-runoff models that are used to simulate flood hydrographs are one of the methods of estimating runoff and a suitable tool for investigating and evaluating hydrological processes, water resources, and flood management.Method: Since the estimation of peak discharge and flood hydrograph has great important to predict the hydrological behavior of the basin and also to take the necessary measures to reduce the flood risk, the present study was conducted by using HEC-HMS model to simulate the rainfall-runoff events during 2007-2018 in the Karkheh Basin .By using this model capabilities and the data from some hydrometric and meteorological stations in the basin, the volume and peak discharge of floods in that period were estimated. Because Seymareh dam impoundment has started since 2013; two separate basin models were developed and for running the model, 11 flood events were obtained then, the basin parameters were calibrated based on six events and the others were used for validation. In the process of developing the basin model, the SCS Curve Number method is used to calculate basin runoff losses and convert rainfall to runoff, the Clark Unit Hydrograph method and the Return flow method to calculate the base flow, the Muskingum method for hydrological routing, and the Weighted average method for spatial data analysis of rainfall. The Outlet Structure method was used for routing the reservoirs of Karkheh and Seymareh dams.Results: Comparing the initial simulation results of the model with the observed values at the outlet of the basin and some hydrometric stations of the basin showed that the hydrograph model overestimates the flow. Therefore, using the residual squaredsum objective function, basin parameters (CN, time concentration, storage coefficient, initial absorption, and recession constant) were calibrated. After calibration of parameters, the results showed that the calculated hydrographs were in good agreement with the Observational hydrographs in the Karkheh and Seymareh dams. Next, to check the accuracy and confirm the results, the model was validated by the five new rainfall events and to evaluate the efficiency of the model used in this stage, the Nash-Sutcliffe indices and the simulated variance coefficient were used.Conclusion: Comparing the calculated results with the flood observational values (peak discharge) using the correlation coefficient (R2) showed that there is a relatively good agreement between simulation and observation in sub-basins 5, 2, 7, and 1 (0.92, 0.73, 0.73 and 0.70, respectively). Also, the model efficiency index values in the validation period for the Nash-Sutcliffe index (0.33-0.99) and simulation variance coefficient (0-0.73) for the outlet of sub-basins 9, 6, 5, 1, and 8 are favorable and the HEC-HMS model approximately can provide an acceptable estimation of the flood hydrograph. So, it can be well-analyzed how the way flood events are formed in the Karkheh basin. Also, the sensitivity analysis of the model parameters showed that the curve number parameter (CN) has a greater effect on the changes in the objective function than other basin parameters.
_||_
Abbasi, M., Mohseni Saravi, M., Kheirkhah, M., Khalighi Sigaroudi, S., Rostamizad, G., & Hosseini, M. (2010). Assessment of Watershed Management Activities on Time of Concentration and Curve Number using HEC-HMS Model (Case Study: Kan Watershed, Tehran). Journal of Range and Watershed Managment, 63(3), 375-385. [in Persian]Alizadeh, A. (2013). The Principles of Applied Hydrology. Mashhad: Imam Reza (AS) University.
Azami babani, b., Mumipour, M., & Azari, A. (2017). Prioritization Flood risk of Hydrologic Units (Case Study: Pole Shah Catchment). Geography and development, 16(53), 69-84. [in Persian]
Azizian, A., Shokoohi, A., & Zamani, F. (2018). Evaluating Scale Effect of Maps Derived via Remote Sensing and Ground Surveying on the Performance of HEC-HMS. Modares Civil Engineering journal, 18(1), 157-170. [in Persian]
Davtalab, R., Mirchi, A., Khatami, S., Gyawali, R., Massah, A., Farajzadeh, M., & Madani, K. (2017). Improving continuous hydrologic modeling of data-poor river basins using hydrologic engineering center’s hydrologic modeling system: case study of Karkheh River Basin. Journal of Hydrologic Engineering, 22(8). Retrieved from https://doi.org/10.1061/(ASCE)HE.1943-5584.0001525
Garmei, R., & Faridhosseini, A. (2015). OPTIMIZATION PARAMETERS OF RAINFALL-RUNOFF model of hec-hms through pso algorithm. Iranian journal of soil and water research, 46(2), 255-264. [in persian]
Ghafoori, M. R., Saghafian, B., Taheri Shahraini, H., & Bagheri Shouraki, S. (2009). Simulation of daily streamflow in the Karoon basin using HEC-HMS model. Intenational Conference on Water Resources. Shahrood. [in Persian]
Heydari Bisefr, A., Hessari, B., & Samadian, M. (2020). Sensitivity Analysis of Parameters Affecting the Design Flood Using HEC- HMS Mathematical Model (Case Study: Sardasht Dam). Iranian journal of Ecohydrology, 7(4), 954-965. [in Persian]
Iran Water & Power Resources Development, CO. (2008). Meteorological report. Tehran. [in Persian]
Izanloo, H., Moradi, H., & Sadeghi, S. (2009). COMPARISON OF TEMPORAL PRIORITIZING OF flooding in different hydrological periods (case study: kooshkabad sub-watersheds in razavi province). Watershed management researches (pajouhesh-va-sazandegi), 21-30. [in persian]
Karimi, m., malekinejad, h., abghari, h., & azizian, m. (2011). Evaluating the methods of flood hydrograph simulation using hec-hms software (a case study, chelgazi watershed). Iranian water research journal, 5(9), 29-38. [in persian]
Khaddor, i., achab, m., rida soumali, m., benjbara, a., & hafidi alaoui, a. (2021). The impact of the construction of a dam on flood management. Civil engineering journal, 7(02). Doi:10.28991/cej-2021-03091658
Khademi, M., Soltani Gerdefaramarzi, S., & Ghasemi, M. (2018). Determination of the Return Period for Probability Maximum Flood Using HEC-HMS Model and Statistical Methods in the Eskandari Watershed. Iranian journal of watershed management science and engineering, 129-134. [in Persian]
khalighi sigaroodi, S. (2004). Investigating the impact of land use change on the hydrological characteristics of surface water (a case study in Bar Andozchai area of West Azarbaijan Province). 218. Tehran: Tehran University. [in Persian]
Mahabghodss Consulting Engineering, C. (2002). Operating and maintenance instructions for Karkheh Dam.
Memarian khalilabad, H., Yousefi, M., & Aghakhani afshar, A. (2017). Identification of flooding source regions and investigating the impact of watershed management operations on the peak discharge (Case study: Bar watershed, Neyshabour, Iran). JOURNAL OF WATER AND SOIL CONSERVATION (journal of agricultural sciences and natural resources), 25(1), 35-59. [in Persian]
Modarsei, F., & Araqinezhad, S. (2018). Teaching the hydrological modeling of the watershed in HEC-HMS and HEC-Geo HMS. Tehran: Noavar. [in Persian]
Moradnezhadi, M., Jourgholami, M., & Malekian, A. (2015). Prioritization of Appropriate Sub-basins in order to Forest Harvesting using HEC-HMS Model (Case Study: Kheyrud Forest). Forest and Wood Products, 68(2), 405-418. [in Persian]
ORNL DAAC (NASA). (2018, 03 21). Retrieved from https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1566
Rahimzadeh, Z., & habibi, m. (2018). Simulation of hydrograph of flood with hydrological model HEC-HMS and prediction of return period in Kermanshah Ravansar Basin. GEOGRAPHY AND DEVELOPMENT, 16(53), 175-194. [in Persian]
Rostamizad, G., Khalighi Sigaroodi, S., & Mahdavi, M. (2013). Comparison estimate precipitation loss methods in HEC-HMS model to simulation runoff (Case study: Kan basin). Journal of Range and Watershed Managment, 66(3), 359-371. [in Persian]
Sabzevari, T., Ardakanian, R., Shamsaei, A., & Talebi, A. (2009). Predicting the Flood Hydrographs of Ungauged Watersheds Using the HEC-HMS model and GIS. Water Resources Engineering Journal, 2(4), 1-12. [in Persian]
Saghafian, B., & Farazjou, H. (2007). PRIORITIZATION OF HYDROLOGIC UNITS WITH RESPECT TO flood potential in golestan dam river basin. Iranian journal of watershed management science and engineering, 1(1), 1-11. [in Persian]
Salajegheh, A., Razavizadeh, S., Khorazani, N., Hamidifar, M., & Salajegheh, S. (2011). LAND USE changes and its effects on water quality (case study: karkheh watershed). 37(58), 81-86. [in Persian]
Sharu, E. H. (2021). Development of HEC-HMS Model for Flow Simulation at Dungun River Basin Malaysia. Advances in Agricultural and Food Research Journal, 2(1). doi:https://doi.org/10.36877/aafrj.a0000169
Special Reporting Committee on Flood. (2019). The 2019 Iran Floods Narrative. Tehran. [in Persian]
Zohrabi, N., Massah Bavani, A., Goodarzi, E., & Heidarnejad, M. (2016). Identify Trend in the Annual Temperature and Precipitation in Karkheh River Basin. Journal of Wetland Ecobiology, 8(2), 5-22. [in Persian]