Reservoir Operation Rules with Uncertainties in Reservoir Inflow and Agricultural Demand Derived with Stochastic Dynamic Programming
Publication: Journal of Irrigation and Drainage Engineering
Volume 142, Issue 11
Abstract
A proposed stochastic dynamic programming (SDP) method with uncertainties in stream flow and water demand is developed to calculate optimal reservoir operation rules. The SDP method extends the classic SDP method that considers only one uncertainty in its operation rules. Time series of reservoir inflow and agricultural water demand for the Aydoghmoush Reservoir in eastern Azarbayejan, Iran, were obtained from meteorological data, available climate parameters, hydrologic data, and crop water demand. The application of the developed SDP with two uncertainties was evaluated with operation rules corresponding to four different scenarios, and optimal reservoir releases were determined for a drought year. Reservoir operation results were evaluated with different performance indices. This study’s results demonstrate the advantage of considering uncertainties in reservoir inflow and water demand with the SDP method. The developed SDP method has general applicability under a range of climatic conditions, and the calculated operation rules cover the expected ranges of streamflow and water demand during the operating years.
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References
Ahmadi, M., Bozorg-Haddad, O., and Mariño, M. A. (2014). “Extraction of flexible multi-objective real-time reservoir operation rules.” Water Resour. Manage., 28(1), 131–147.
Ashofteh, P.-S. (2015). “Developing flexible strategies in water resources and consumption management for adaptation with climate change.” Ph.D. dissertation, Dept. of Irrigation and Reclamation Engineering, Univ. of Tehran, Karaj, Iran.
Ashofteh, P.-S., Bozorg-Haddad, O., Akbari-Alashti, H., and Mariño, M. A. (2015a). “Determination of irrigation allocation policy under climate change by genetic programming.” J. Irrig. Drain. Eng., 04014059.
Ashofteh, P.-S., Bozorg-Haddad, O., and Loáiciga, H. A. (2015b). “Evaluation of climatic-change impacts on multiobjective reservoir operation with multiobjective genetic programming.” J. Water Resour. Plann. Manage., 04015030.
Ashofteh, P.-S., Bozorg-Haddad, O., and Mariño, M. A. (2013a). “Climate change impact on reservoir performance indexes in agricultural water supply.” J. Irrig. Drain. Eng., 85–97.
Ashofteh, P.-S., Bozorg-Haddad, O., and Mariño, M. A. (2013b). “Scenario assessment of streamflow simulation and its transition probability in future periods under climate change.” Water Resour. Manage., 27(1), 255–274.
Ashofteh, P.-S., Bozorg-Haddad, O., and Mariño, M. A. (2014). “Risk analysis of water demand for agricultural crops under climate change.” J. Hydrol. Eng., 04014060.
Ben Alaya, A., Souissi, A., Tarhouni, J., and Ncib, K. (2003). “Optimization of Nebhana reservoir water allocation by stochastic dynamic programming.” Water Resour. Manage., 17(4), 259–272.
Beygi, S., Bozorg-Haddad, O., Fallah-Mehdipour, E., and Mariño, M. A. (2014). “Bargaining models for optimal design of water distribution networks.” J. Water Resour. Plann. Manage., 92–99.
Bolouri-Yazdeli, Y., Bozorg-Haddad, O., Fallah-Mehdipour, E., and Mariño, M. A. (2014). “Evaluation of real-time operation rules in reservoir systems operation.” Water Resour. Manage., 28(3), 715–729.
Bozorg-Haddad, O., Ashofteh, P.-S., Ali-Hamzeh, M., and Mariño, M. A. (2015a). “Investigation of reservoir qualitative behavior resulting from sudden entry of biological pollutant.” J. Irrig. Drain. Eng., 04015003.
Bozorg-Haddad, O., Ashofteh, P.-S., and Mariño, M. A. (2015b). “Levee layouts and design optimization in protection of flood areas.” J. Irrig. Drain. Eng., 04015004.
Bozorg-Haddad, O., Ashofteh, P.-S., Rasoulzadeh-Gharibdousti, S., and Mariño, M. A. (2014). “Optimization model for design-operation of pumped-storage and hydropower systems.” J. Energy Eng., 04013016.
Bozorg-Haddad, O., Rezapour Tabari, M. M., Fallah-Mehdipour, E., and Mariño, M. A. (2013). “Groundwater model calibration by meta-heuristic algorithms.” Water Resour. Manage., 27(7), 2515–2529.
Bras, R. L., Buchanan, R., and Curry, K. C. (1983). “Real time adaptive closed loop control of reservoirs with the High Aswan dam as a case study.” Water Resour. Res., 19(1), 33–52.
Cervellera, C., Chen, V. C. P., and Wen, A. (2006). “Optimization of a large-scale water reservoir network by stochastic dynamic programming with efficient state space discretization.” Eur. J. Oper. Res., 171(3), 1139–1151.
Doorenbos, J., and Pruitt, W. O. (1984). “Guidelines for predicting crop water requirements.” Food and Agricultural Organization of the United Nations, Rome.
Fallah-Mehdipour, E., Bozorg-Haddad, O., and Mariño, M. A. (2013a). “Extraction of optimal operation rules in aquifer-dam system: A genetic programming approach.” J. Irrig. Drain. Eng., 872–879.
Fallah-Mehdipour, E., Bozorg-Haddad, O., and Mariño, M. A. (2013b). “Prediction and simulation of monthly groundwater levels by genetic programming.” J. Hydro-Environ. Res., 7(4), 253–260.
Hastings, W. K. (1970). “Monte Carlo sampling methods using Markov chains and their applications.” Biometrika, 57(1), 97–109.
Karamouz, M., and Vasiliadis, H. (1992). “Bayesian stochastic optimization of reservoir operation using uncertain forecasts.” Water Resour. Res., 28(5), 1221–1232.
Kelman, J., Stedinger, J. R., Cooper, L. A., Hsu, E., and Yuan, S. Q. (1990). “Sampling stochastic dynamic programming applied to reservoir operation.” Water Resour. Res., 26(3), 447–454.
LINGO version 11 [Computer software]. LINDO System, Chicago.
Loucks, D. P., Stedinger, J. R., and Haith, H. A. (1981). Water resource systems planning and analysis, Prentice-Hall, Englewood Cliffs, NJ.
Lubow, B. (1994). “Stochastic dynamic programming (SDP) user’s guide version 1.07.” Colorado Cooperative Fish and Wildlife Research Unit, Colorado State Univ., Fort Collins, CO, 1–3.
Maddock, T. (1974). “The operation of stream-aquifer system under stochastic demands.” Water Resour. Res., 10(1), 1–10.
Maimon, O. Z., and Rokach, L. (2005). Data mining and knowledge discovery handbook, Springer, New York.
Matalas, N. C., and Fiering, M. B. (1977). “Water resources systems planning in climate, climate change, and water supply.” National Academy of Sciences, Washington, DC.
McMahon, Th. A., Adeloye, A. J., and Zhou, S.-L. (2006). “Understanding performance measures of reservoirs.” J. Hydrol., 324(1–4), 359–382.
Milliken, J. G., and Taylor, G. C. (1981). “Metropoltian water management.”, American Geophysical Union, Washington, DC.
Mousavi, S. J., Mahdizadeh, K., and Afshar, A. (2004). “A stochastic dynamic programming model with fuzzy storage states for reservoir operation.” Adv. Water Resour., 27(11), 1105–1110.
Orouji, H., Bozorg-Haddad, O., Fallah-Mehdipour, E., and Mariño, M. A. (2013). “Modeling of water quality parameters using data-driven models.” J. Environ. Eng., 947–957.
Orouji, H., Bozorg-Haddad, O., Fallah-Mehdipour, E., and Mariño, M. A. (2014). “Extraction of decision alternatives in project management: Application of hybrid PSO-SFLA.” J. Manage. Eng., 50–59.
Papoulis, A. (1984). Probability, random variables, and stochastic processes, 2nd Ed., McGraw-Hill, New York.
Raje, D., and Mujumdar, P. P. (2010). “Reservoir performance under uncertainty in hydrologic impacts of climate change.” Adv. Water Resour., 33(3), 312–326.
Seifollahi-Aghmiuni, S., Bozorg-Haddad, O., and Mariño, M. A. (2013). “Water distribution network risk analysis under simultaneous consumption and roughness uncertainties.” Water Resour. Manage., 27(7), 2595–2610.
Shokri, A., Bozorg-Haddad, O., and Mariño, M. A. (2013). “Reservoir operation for simultaneously meeting water demand and sediment flushing: Stochastic dynamic programming approach with two uncertainties.” J. Water Resour. Plann. Manage., 139(3), 277–289.
Shokri, A., Bozorg-Haddad, O., and Mariño, M. A. (2014). “Multi-objective quantity-quality reservoir operation in sudden pollution.” Water Resour. Manage., 28(2), 567–586.
Smith, M. (1992). “CROPWAT: A Computer program for irrigation planning and management.” Food and Irrigation Organization, Rome.
Soltanjalili, M., Bozorg-Haddad, O., and Mariño, M. A. (2013). “Operating water distribution networks during water shortage conditions using hedging and intermittent water supply concepts.” J. Water Resour. Plann. Manage., 644–659.
Stedinger, J. R., Pei, D., and Cohn, T. A. (1985). “A condensed disaggregation model for incorporating parameter uncertainty into monthly reservoir simulations.” Water Resour. Res., 21(5), 665–675.
Stedinger, J. R., Sule, B. F., and Loucks, D. P. (1984). “Stochastic dynamic programming models for reservoir operation optimization.” Water Resour. Res., 20(11), 1499–1505.
Vasiliadis, H., and Karamouz, M. (1994). “Demand-driven operation of reservoir using uncertainty-based optimal operating policies.” J. Water Recour. Plann. Manage., 101–114.
Yakowitz, S. (1982). “Dynamic programming applications in water resources.” Water Resour. Res., 18(4), 673–696.
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© 2016 American Society of Civil Engineers.
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Received: Jul 14, 2015
Accepted: Mar 9, 2016
Published online: Jun 8, 2016
Published in print: Nov 1, 2016
Discussion open until: Nov 8, 2016
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