Determining the accuracy of the dynamic system in simulating and optimizing the rule curves of the dam reservoir (Case Study: Choghakhor dam)

Document Type : Complete scientific research article

Authors

water management Department, Agricultural faculty, BuAli Sina University, Hamedan, Iran

Abstract

Background and objectives: Increasing water demands and limited water resources in arid and semiarid regions have required management and planning to optimal use of the water resources. On the other hand, the surface water resources providing a major portion of water supply for drinking, agriculture and industrial sectors. For this porpuse, managers need to adopt optimal policies for planning water resources use, especially reservoirs of dams. Therefore, many attempts have been made to develop computer models to perform such simulations. One of the most effective methods to evaluate complex systems is system dynamics. This approach is a feedback-based and object-oriented approach. Any dynamic system is characterized by interdependence, mutual interaction, information feedback, and circular causality. However, Vensim is a visual modeling tool that allows you to conceptualize, simulate, analyze, and optimize models of dynamic systems. Vensim model provides a simple and flexible way of building simulation models from causal loop or stock and flow diagrams. So, in this research, system dynamics and particle swarm optimization algorithm were used to optimize the rule curve of Choghakhor Dam. Finally, the accuracy of the methods was evaluated.
Materials and Methods: The study area is located near Borujen city. the Choghakhor dam is a earth fill dam and its water is mainly supplied through precipitation and springs. In this study, the results are compared with monthly data collected over ten years period (2004-2014) in the Choghakhor Dam. The relations between the inflow, the volume of reservoir storage and the rate of release of each period were determined and they were defined by using system dynamics approach in VENSIM model and using pso algorithm in MATLAB model. the objective function and all of the limitations are the same for both of the models.
Results: The results showed that The coefficient of determination (r2) which is a measure of the degree of correlation between the system dynamics simulation and the observation data was 0.995 for the reservoir volume and 0.991 for the release rate. After optimization the difference between the requirements and the release rates decreased and reduced the waste of water. The difference was 11.78 MCM for system dynamics approach and 18.82 MCM for PSO algorithm. While in observation, The difference was 25.68 MCM.
Conclusion: In general, the results showed that the system dynamics model is more accurate than the pso algorithm in optimisation of the reservoir operation by rule curve adjust in Choghakhor dam.

Keywords

References

1.Anonymous. 2013. Estimated Environmental Need for Chaghakhor Wetland. Department of Environmental Protection, Chahar Mahal and Bakhtiari. Park of Science and Technology of Shahrekord. Pp: 1-47. (In Persian) 
2.Anonymous. 2013. Technical Report of Hydrographic Operations and Mapping of Choghakhor Dam. P 1-11. Seafar Consulting Engineers, Iran, Sharkhord. (In Persian)
3.Birg, B. 2009. PSOt-a Particle Swarm Optimization Toolbox for use with Matlab. NCSU, MAE Dept, 163: 1. 372-387.
4.Farid-Hossini, AS.R., Garmaei, R., Hasheminia, M., and Hojjati, A. 2015. Calibration and validation of HEC-HMS model parameters with particle swarm optimization algorithm with single-objective approach. P 615-626. in Ferdowsi Water and Earth Magazine, Mashhad. (In Persian)
5.Hasanzadeh, E., Elshorbagy, A., Wheater, H., and Gober, P. 2014. Managing water in complex systems: An integrated water resources model for Saskatchewan. P 12-26. Environmental Modelling & Software, Canada.
6.Hojjati, A., Farid-Hosseini, A.R., Ghahreman, B., and Alizadeh, A. 2012. Comparison of Fractional Methods
in Optimization of Multi-objective Systems of Water Resources (Case study: Stur and Pierre Dam in QezelOzanBasin). P 9-14, J. Water Environ. Engin. Iran, Mashhad. (In Persian)
7.Jahandide-Tehrani, M., Bozorg Hadad, O., and Marino, M.A. 2014. Power generation simulation of a hydropower reservoir system using system dynamics: Case study of karoon reservoir system. J. Ener. Engin. 140: 1-12.
8.Kadkhoda-Husseini, M., Shah Mohammadi, Sh., Mir-Abbas Najaf Abadi, R., and Nozari, H. 2015. Evaluation of allocation of Choghakhor Dam water resources using dynamic systems approach. The 9th National Conference on the Global Environment Day. Iran, University of Tehran. (In Persian)
9.Kadkhoda-Husseini, M., Shah Mohammadi, Sh., Mir-Abbas Najaf Abadi, R., and Nozari, H. 2015. Determination of Choghakhor dam performance in supplying lower requirements using VENSIM model. The second conference of new findings in environmental and agricultural ecosystems. Iran, University of Tehran. (In Persian)
10.Kadkhoda-Husseini, M., Shah Mohammadi, Sh., Mir-Abbas Najaf Abadi, R., and Nozari, H. 2017. Evaluation of different scenarios for allocating water resources of Choghakhor Dam using a dynamical system. J. Water. Manage. Sci. Engin. 36: 23-32. (In Persian)
11.Kadkhoda-Husseini, M., Shah Mohammadi, Sh., Mir-Abbas Najaf Abadi, R., and Nozari, H. 2013. Using Dynamic Systems Approach for Optimal Water Resources Allocation (Case study: Choghakhor Dam). Iran, Shahrekord, Prees, 169p. (In Persian)
12.Kotir, J.H., Smith, C., Brown, G., Marshall, N., and Johnstone, R. 2016. A system dynamics simulation model for sustainable water resources management and agricultural development in the Volta River Basin, Ghana. Science of the Total Environment, 573: 444-457.
13.Maftahgholaghi, M., and Zahiri, A. 2010. Extracting the dam control curve using GA and PSO algorithms in Golestan Dam. Master's thesis, Islamic Azad University, Tehran. Press, 150p. (In Persian)
14.Mahdiyani, M.R., Godarzi, M., Alipour, M.R., and Motihe, M. 2014. The Effect of Fine Function Adjustment on Improving the Genetic Algorithm for Optimization of Artificial Neutralization with Gas. Scientific Monthly- Promoting the Exploration and Production of Oil and Gas, Iran, Pp: 50-54. (In Persian)
15.Maier, H.R., Simpson, A.R., Zecchin, A.C., Foong, W.K., Phang, K.Y., Seah, H.Y., and Tan, C.L. 2003. Ant colony optimization for design of water distribution systems, J. Water Resour. Plan. Manage. 129: 3. 200-209.
 16.Mehdi Pour, A., Bloorurizadeh, E., and Bozorg Hadad, A. 2008. Extracting the dosing tank control curve based on the PSO algorithm. 4th Civil Engineering Congress. University of Tehran, Ncce04-731. (In Persian)
17. Misaghi, A., Judge, K., Heran, B., and Hasheminia, S.M. 2015. Water resource modeling in the catchment area using system dynamics method, Case study: Neyshabour catchment area. FerdowsiUniversity of Science and Technology, Mashhad, Iran. March 2013, 37: 3. 94-83. (In Persian)
18.Moghaddam, A.R., Alizadeh, A., Farid-Hossini, A.R., Ziaie, A.N., and Fallahhouri, D. 2013. Application of modified algorithm to optimize particle swarm in design of water distribution systems. Irrigation and drainage of Iran, Ferdowsi University of Mashhad, Pp: 389-401. (In Persian)
19.Naseri, H.R., Ahmadi, S., and Salvatabar, A. 2010. Exploitation of water resources modeling coastal dam Urmia Shahrchay using softwere VENSIM. P 1-10, The 1nd Iranian national Conference on applied research in water resource. 16 and 17 November. Iran, Kermanshah. (In Persian)
20.Nassery, H.R., Adinehvand, R., Salavitabar, A., and Barati, R. 2017. Water Management Using System Dynamics Modeling in Semi-arid Regions. J. Civil Engin. 3: 9. 766-778.
21.Niazi, A., Prasher, S.O., Adamowski, J., and Gleeson, T. 2014. A system dynamics model to conserve arid region water resources through aquifer storage and recovery in conjunction with a dam. Water, 6: 8. 2300-2321.
22.Nozari, H., Heidari, M., and Azadi, S. 2013. Simulation of crop yields in different irrigation management systems using dynamic system analysis. J. Water Res. Agric. 27: 4. (In Persian)
23.Ruim, S.P., Naim, H., and Gaspar, M. 2001. Modelling water resources using vensim PLE. Mathematical models and methods in modem science.
24.Solatitabar, A. 2006. System Dynamic Model in Tehran Urban Water Management. PhD of Water Engineering, Science and ResearchCenter, Azad Islamic Universiy, Iran. Tehran. (In Persian)
25.Simonovic, S.P. 2002. World water dynamics: global modeling of water resources. J. Environ. Manage.
66: 3. 249-67.
26.Sterman, J.D. 2000. Business dynamics: Systems thinking and modeling for a complex world. McGraw- Hill Higher Education. Boston. 982p.
27.Wei, SH., Yong, H., Song, J., Abbaspour, K., and Xu Z. 2012. System dynamics simulation model for assessing socio-economic impacts of different levels of environmental flow allocation in the Weihe River Basin, China. Europ. J. Oper. Res. 221: 248-262.
28.Wei, T., Lou, I., Yang, Z., and Li, Y. 2016. A system dynamics urban water management model for Macau, China. J. Environ. Sci. 50: 117-126.
29.Winz, I. 2009. Challenging perspectives: An interdisciplinary exploration of urban stormwater management. PhD Thesis. School of environment. AucklandUniversity: New Zealand, 241p.
Journal of Water and Soil Conservation
Volume 25, Issue 5
January and February 2019
Pages 89-107

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