Journal of New Approaches in Water Engineering and Environment
Scientific Journal

Evaluation of rainfall-runoff model performance in estimating discharge and flood volume

Document Type : Original Article

Authors

Hamidreza Eslami 1
Saeid Jamali 2
Reza Ayoubikia 3
Kamyab Eslami 4

1 CEO Payeshgar Tadbir Afzar

2 Assistant Professor, Central Tehran Branch, Faculty of Civil Engineering and Land Resources, Islamic Azad University, Tehran, Iran

3 Water Resources Expert - Payeshgar Tadbir Afzar Company, Tehran, Iran

4 Software Developer Expert - Payeshgar Tadbir Afzar Company, Tehran, Iran

https://doi.org/10.22034/nawee.2023.346025.1001
Abstract
Flood assessment and forecasting its potential volume is one of the main problems of catchment managers, which needs more cooperation from flood forecasters, users, managers and water users in the region to prevent financial and human losses. The purpose of this study is to provide an appropriate solution to establish a flood forecasting system based on the cooperation of model developers, users and managers in order to improve management and reduce flood damage. In this study, to predict the flow in 5 basins of Karun 4 Dam, Seymareh Dam, Rudbar Dam, Sardasht Dam and Azad during seven years, meteorological maps of two models, COLA and WRF, were used to predict precipitation. The developed NAM simulation model led to forecasting floods in the coming days of the basin and reducing financial and human losses. The results of the reports indicate that 70% of the forecasts are in the observational flood range.

Keywords

Flood Prediction
Extended NAM
COLA Precipitation
WRF Precipitation
Aherwar P., Aherwar H. 2019. Comparison of rainfall runoff simulation by SCS- CN and NAM model in Shipra river basin of Madhya Pradesh, India. J Pharmacogn Phytochem 8(4), pp3419–3427.
Aredo M.R. HatiyeS.D., Pingale S.M. 2021.  Modeling the rainfall-runoff using MIKE 11 NAM model in Shaya catchment, Ethiopia. Model. Earth Syst. Environment.
Chander S., Prasad RK. 2014. Water Resource Systems. Jain Brothers, New Delhi.
Das G. 2012. Hydrology and Soil Conservation Engineering, PHI Learning Private Limited, New Delhi, 80-83.
Dovonec E. 2000. A physically base distributed hydrologic model, Msc Thesis, the Pennsylvania State University.
Eslami H.R., Mohamadvalisamani J., Ghaderi K. 2003. Automatic calibration of rainfall-runoff model using SCE. First Water Resources Management Conference, University of Tehran. (In Persion.(
Goharnejad H., Mohamadi Naser M., Zakeri Niri M. 2017. The optimization of energy supply systems by sequential streamflow routing method and Invasive Weed Optimization Algorithm; case study:
 
 
Karun II hydroelectric power plant. Journal of Hydraulic Structures 3(1), pp71-82.
Hafezparast M., Araghinejad S., Fatemi, SE. 2013. A Conceptual Rainfall-Runoff Model Using the Auto Calibrated NAM Models in the Sarisoo River. Hydrol Current Res 4: 148.
Hartmann H., Bales R., Sorooshian S. 1999. Weather, Climate, and Hydrologic Forecasting for the Southwest U.S.
Hoseynzade M.M., Biranvand S., Hoseyni Asl A., Saduq H. 2013. Simulation Kashkan flood river. Iranian Journal of Remote Sensing and GIS, Issue 17, pp71-84.
Jayapadma J.M.M.U., Wickramaarachchi T.N., Silva .G.H.A.C., Hiroshi I., Magome J. 2018. Rainfall-Runoff Modelling Using MIKE 11 (NAM Model): A Case Study of GIN River Basin. nter national Symposium on Advances in Civil and Environmental Engin eering Practices for Sus tain able Development (ACEPS-2018).pp231-238.
Kafle T.P., Hazarica M.K., Shresth K.G. Prathumchai K., Samarakon L. 2006. Integration of remote sensing and GIS with flood simulation model for flood hazard mapping in the Bagmati river, Nepal. J. Environment management. 13, pp8. 45-57.
 
Kumar P., Lohani AK., Nema AK. 2019. Rainfall runoff modeling using MIKE 11 NAM model. Curr World Environ 14(1), pp27–36.
Loliyana V.D., Patel P.L. 2015.  Lumped conceptual hydrological model for Purna river basin, India. Sadhana 40, pp2411–2428.
Madsen H. 2000. Automatic calibration of a conceptual  rainfall–runoff model using multiple objectives. Journal of Hydrology 235, pp 276–288.
Pagano T.C. 2014. Evaluation of Mekong River commission operational flood forecasts, 2000–2012. Hydrol. Earth Syst. Sci. 18(7), pp 2645–2656.
Pennelly C. Reuter G., Flesch T. 2014. Verification of the WRF model for simulating heavy precipitation in Alberta. Atmospheric Research. 135, pp 172-192.
Qobadian R. 2008. Simulate hydraulic flood routing in Gharehsou river using numerical unsteady flow equations. 7th Conference of hydraulic, 21 to 23 November, the utilities industry University of martyr Abbaspoor.
Rauofi  Gh., Esmaili A., Aslani H., Eyvazi M. 2013. Snow storage and melting simulation using NAM runoff model, the first national conference on hydrology of semi-arid regions, Sanandaj University. (In Persion).
Sajadi BY., Jahangir P., Hossein S., Navid J. 2020. Performance evaluation of MIKE NAM rainfall-runoff (R-R) model in daily flow simulation (case study: Gonbad catchment in Hamedan). J Appl Eng Sci 10(1), pp1–6.
Vahabi J. 2005. Flood risk mapping using hydrological and hydraulic models (case study Taleqan), the research and construction Journal, Issue 71, pp 33-41.
Welles E., Sorooshian S., Carter G., Olsen B. 2007. Hydrologic verification: a call for action and collaboration. Bull. Am. Meteorol. Soc. 88(4), pp503–511.
Werner K., Verkade J., Pagano T. 2016. Application of Hydrological Forecast Verification Information. Handbook of Hydro meteorological Ensemble Forecasting.
 
 
Journal of New Approaches in Water Engineering and Environment
Volume 1, Issue 1
March 2022
Pages 101-112

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