Document Type : Research Paper

Authors

1 Department of Water Engineering, Razi University, Iran

2 Department of Hydrology and Water Resources, Shahid Chamran University, Iran

Abstract

In the simulation models of water resource systems, calibration processes should be performed to approximate the simulated values to the observed values due to the errors in such models. However, due to being time consuming and the difficulties associated with manual calibration, an automatic calibration model can be a resolver. In this research, the simulation of Jareh Dam and network system was conducted using the WEAP model. Then, by linking this model to the NSGA-II algorithm, its automatic calibration was performed by this algorithm. Nach statistical parameter was used to check the calibration accuracy of the model. The whole system was in the form of a multi-objective NSGA-II algorithm, in which the first objective function, which was to minimize the difference between the observed and the calculated reservoir storage volumes, was assessed versus the second objective function, which was to minimize the difference in the calculated and the simulated discharges, at two Mashin and Jokank stations. The results showed the remarkable ability of NSGA-II algorithm for automatic model calibration, so that the operation status of the dam and river was of the greatest consistency with reality.

Keywords

Abrishamchi A., Alizadeh H., Tajrishy M., Abrishamchi A., Water Resources Management Scenario Analysis in Karkheh River Basin, Iran, Using WEAP Model. Hydrological Science and Technology 23 (2007) 1.
Afshar A., Kazemi H.,, Saadatpour M., Particle swarm optimization for automatic calibration of large scale water quality model (CE-QUAL-W2): application to Karkheh Reservoir, Iran. Water resources management 25 (2011) 2613-2632.
Alfarra A., Modelling water resource management in Lake Naivasha., M.Sc. thesis, International Institute for Geo-information Science and Earth Observation (2004).
Alfarra A., Kemp-Benedict E., Hötzl H., Sader N., Sonneveld, B. Modeling water supply and demand for effective water management allocation in the Jordan Valley. Journal of Agricultural and Application (JASA) 1 (2012) 1-7.
Azari A., Akhoond-Ali A.M., Radmanesh F., Haghighi A Groundwater–Surface Water Interaction Simulation in Terms of Integrated Water Resource Management (Case Study: Dez Plain). Journal of Irrigation Science and Engineering 38 (2015) 33-47. (In Persian)
Bekele E.G., Nicklow, J.W., Multi-objective automatic calibration of SWAT using NSGA-II. Journal of Hydrology 341 (2007) 165-176.
Bozorg Haddad, O., Saifollahi Aghmouni S., An Introduction to uncertainty analysis in water resources systems. Tehran university press, First edition (2013) 233 (In Persian).
Ercan M.B., Goodall, J.L., A Python tool for multi-gage calibration of SWAT models using the NSGA-II algorithm. In proceedings of the 7th International Congress on Environmental Modelling and Software, June (2014) 15-19.
Ghandhari G., Soltani J., Hamidian Pour M., Evaluation of optimal water allocation scenarios for bar river of Neishabour using WEAP model under A2 climatic changes scenario. Journal of water and soil 29 (2015) 1158-1172 (In Persian).
Hamlat, A., Errih, M., and Guidoum, A. Simulation of water resources management scenarios in western Algeria watersheds using WEAP model. Arabian Journal of Geosciences 6 (2013) 2225-2236.
Huang Y., Lei L., Multiobjective Water Quality Model Calibration Using a Hybrid Genetic Algorithm and Neural Network–Based Approach. Journal of Environmental Engineering 136 (2010) 1020-1031.
Hum N.N.M.F., Abdul-Talib, S., Modeling Optimal Water Allocation by Managing the Demands in Selangor. In ISFRAM, Springer Singapore (2016) 93-104.
Karimi, S.M., Mousavi, S.J., Priority-based allocation of water resources in the catchment area: comparison of WEAP and MODSIM models. 6th National Congress of Civil Engineering, Semnan University (2011) (In Persian).
Li X., Zhao Y., Shi C., Sha J., Wang Z.L., Wang Y., Application of Water Evaluation and Planning (WEAP) model for water resources management strategy estimation in coastal Binhai New Area, China. Ocean & Coastal Management 106 (2015) 97-109.
Madsen H, Torsten J., Automatic calibration of the MIKE SHE integrated hydrological modelling system. 4th DHI SoftwareConference, 6-8 June. Helsingor, Denmark: Scanation Conference Centre (2001).
Muleta, M.K., Nicklow, J.W. Sensitivity and uncertainty analysis coupled with automatic calibration for a distributed watershed model. Journal of hydrology 306 (2005) 127-145.
Mutiga J.K., Mavengano ST., Zhongbo S., Woldai T., Becht, R., Water allocation as a planning tool to minimise water use conflicts in the Upper Ewaso Ng’iro North Basin, Kenya. Water resources management 24 (2010) 3939-3959.
Purkey, D.R., Joyce B., Vicuna S., Hanemann M.W., Dale L.L., Yates D., Dracup J.A., Robust analysis of future climate change impacts on water for agriculture and other sectors: a case study in the Sacramento Valley. Climatic Change 87 (2008) 109-122.
Rafiee Anzab N., Mousavi S.J., Rousta B.A., Kim, J.H. Simulation optimization for optimal sizing of water transfer systems. In Harmony Search Algorithm (2016) 365-375. Springer Berlin Heidelberg.
Sieber J., Swartzand C., Huber-Lee A., User guide for WEAP21. Stockholm Environment Institute Tellus Institute. (2005).
Wang Q.J. The Genetic Algorithm and Its application to Calibrating Conceptual Rainfall-Runoff Models. Water Resources Research 27 (1991) 2467-2471.
Zhang X., Srivivasan R., Van Liew, M., Multi-Site Calibration of the SWAT Model for Hydrologic Modeling. Transactions of the ASABE 51 (2008) 2039-2049.