Abstract
Reservoir operation is one of the challenging problems for water resources planners and managers. In developing countries the end users are represented by the water sectors in most parts and conflict over water is resolved at the agency level. This paper discusses an overview of simulation and optimization modeling methods utilized in resolving critical issues with regard to reservoir systems. In designing a highly efficient as well as effective dam and reservoir operational system, reservoir simulation constitutes one of the most important steps to be considered. Reservoirs with well-functional and reliable optimization models require very accurate simulations. However, the nonlinearity of natural physical processes causes a major problem in determining the simulation of the reservoir’s parameters (elevation, surface-area, storage). Optimization techniques have shown high efficiency when used with simulation modeling and the combination of the two methods had given the best results in the reservoir management. The principal concern of this review study is to critically evaluate and analyze simulation, optimization and combined simulation–optimization modeling approach and present an overview of their utility in previous studies. Inferences and suggestions which may assist in improving quality of this overview in the future are provided. These will also enable future researchers, system analysts and managers to achieve more precise optimal operational system.
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References
Abbaspour KC, Schlin R, Van Genuchten MT (2001) Estimating unsaturated soil hydraulic parameters using ant colony optimization. Adv Water Resour 24(8):827–933
Afshar MH (2005) A new transition rule for ant colony optimization algorithms: application to pipe network optimization problems. Eng Optim 37(5):525–540
Ahmed I, Lansey KE (2001) Optimal operation of multi-reservoir systems under uncertainty. In: Phelps D, Shelke G (eds) Proceedings of world water and environmental resources congress. EWRI, ASCE
Alhoniemi E, Hollmen J, Simula O, Vesanto J (1999) Process monitoring and modeling using the self-organizing map. Integr Comput Aided Eng 6(1):3–14
Barros MT, Tsai FT, Yang SL, Lopes JE, Yeh W (2003) Optimization of large-scale hydropower system operations. Water Resour Plan Manag ASCE 129(3):178–188
Becker L, Yeh W (1974) Optimization of real-time operation of a multiple reservoir system. Water Resour Res 10(6):1107–1112
Bellman RE, Zadeh LA (1970) Decision-making in a fuzzy environment. Manag Sci 17(4):141–164
Bertsekas DP, Tsitsiklis JN (1996) Neuro-dynamic programming. Athena Scientific, Belmont
Bhaskar NR, Whitlatch EE (1980) Derivation of monthly reservoir release policies. Water Resour Res 16(6):987–993
Booker JF, O’Neill JC (2006) Can reservoir storage be uneconomically large. Water Resour Plan Manag ASCE 132(6):520–523
Bras RL, Buchanan R, Curry K (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
Buras RL (1966) Dynamic programming and water resources development. Adv Hydrosci 3:372–412
Buras RL (1985) An application of mathematical programming in planning surface water storage. Water Resour Bull 7(1):1013–1020
Burn HD, Simonovic SP (1996) Sensitivity of reservoir operation performance to climatic change. Water Resour Manag 10(6):463–478
Butcher WS (1971) Stochastic dynamic programming for optimal reservoir operation. Water Resour Bull 7(1):115–123
Cai XM, McKinney DC, Lasdon LS (2001) Solving nonlinear water management models using a combined genetic algorithm and linear programming approach. Adv Water Resour 24(6):667–676
Can EK, Houck MH (1984) Real-time reservoir operations by goal programming. Water Resour Plan Manag ASCE 110(3):297–309
Cancelliere A, Giuliano G, Ancarani A, Rossi G (2002) A neural networks approach for deriving irrigation reservoir operating rules. Water Resour Manag 16(1):71–88
Castelletti A, Rigo D, Rizzoli AE, Soncini-Sessa R, Weber E (2007) Neuro-dynamic programming for designing water reservoir network management policies. Control Eng Pract 15(8):1031–1038
Caudill M (1987) Neural networks primer I. AI expert
Caudill M (1988) Neural networks primer II, III, IV and V. AI expert
Caudill M (1989) Neural networks primer VI, VII and VIII. AI Expert
Chandramouli V, Raman H (2001) Multireservoir modeling with dynamic programming and neural networks. Water Resour Plan Manag ASCE 127(2):89–98
Chang FJ, Hui SC, Chen YC (2002) Reservoir operation using grey fuzzy stochastic dynamic programming. Hydrol Process 16(12):2395–2408
Chang FJ, Chen L, Chang LC (2005a) Optimizing the reservoir operating rule curves by genetic algorithms. Hydrol Process 19(11):2277–2289
Chang YT, Chang LC, Chang FJ (2005b) Intelligent control for modeling of real-time reservoir operation, part II: artificial neural network with operating rule curves. Hydrol Process 19(7):1431–1444
Chang J-X, Huang Q, Wang Y (2005c) Genetic algorithms for optimal reservoir dispatching. Water Resour Manag 19(4):321–331
Chang FJ, Chiang YM, Chang LC (2007) Multi-step-ahead neural networks for flood forecasting. Hydrol Sci J 52(1):114–130
Changchit C, Terrell MP (1993) A multiobjective reservoir operation model with stochastic inflows. Comput Ind Eng 24(2):303–313
Chaturvedi MC, Srivastava DK (1981) Study of a complex water-resources system with screening and simulation-models. Water Resour Res 17(4):783–794
Chen L, Chang FJ (2007) Applying a real-coded multi-population genetic algorithm to multireservoir operation. Hydrol Process 21(5):688–698
Chiu YC, Chang LC, Chang FJ (2007) Using a hybrid genetic algorithm-simulated annealing algorithm for fuzzy programming of reservoir operation. Hydrol Process 21(23):3162–3172
Christensen NS, Wood AW, Voisin N, Lettenmaier DP, Palmer RN (2004) Effects of climate change on the hydrology and water resources of the Colorado River basin. Clim Change 62:337–363
Clerc M, Kennedy J (2002) The particle swarm: explosion, stability and convergence in a multi-dimensional complex space. IEEE Trans Evol Comput 6:58–73
Cohon JL (1978) Multiobjective programming and planning. Academic, New York
Conn AR, Gould NI, Toint PL (1992) LANCELOT: a Fortran package for large-scale nonlinear optimization (Release A). Springer, Heidelberg
Crawley PD, Dandy GC (1993) Optimal operation of multiple-reservoir system. Water Resour Plan Manag ASCE 119(1):1–17
Dahe PD, Srivastava DK (2002) Multireservoir multi yield model with allowable deficit in annual yield. Water Resour Plan Manag ASCE 128(6):406–414
Datta B (1993) Operation models for single and multipurpose reservoirs-a review. Jalvigyan Sameeksha-A Publication of Indian National Committee on Hydrology, pp 1–12
Datta B, Burges SJ (1984) Short-term single multiple-purpose reservoir operation: importance of loss functions and forecast errors. Water Resour Res 20(9):1167–1176
Datta B, Houck MH (1984) A stochastic optimization model for real time operation of reservoir using uncertain forecasts. Water Resour Res 20(8):1039–1046
Deb K, Pratap A, Agarwal S, Meyarivan T (2002) A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6(2):182–197
Dhar A, Datta B (2008) Optimal operation of reservoirs for downstream water quality control using linked simulation optimization. Hydrol Process 22(6):842–853
Dorigo M, Manielzo V, Colomi A (1996) The ant system: optimization by a colony of cooperating ants. IEEE Trans Syst Man Cybern 26:29–42
El-Shafie A, Taha MR, Noureldin A (2007) A neuro-fuzzy model for inflow forecasting of the Nile river at Aswan high dam. Water Resour Manag 21(3):533–556
Eschenbach EA, Timothy M, Edith Z, Morgan G, Richard S (2001) Goal programming decision support system for multiobjective operation of reservoir systems. Water Resour Plan Manag ASCE 127(2):108–120
Fausett L (1994) Fundamentals of neural networks. Prentice Hall, Englewood Cliffs
Fontane DG, Gates TK, Moncada E (1997) Planning reservoir operations with imprecise objectives. Water Resour Plan Manag ASCE 123(3):154–162
Fu DZ, Li YP, Huang GH (2012) A fuzzy-Markov-chain-based analysis method for reservoir operation. Stoch Environ Res Risk Assess 26:375–391
Gablinger M, Loucks DP (1970) Markov models for flow regulation. Hydraul Div 96(1):165–181
Ganji A, Jowkarshorijeh L (2012) Advance first order second moment (AFOSM) method for single reservoir operation reliability analysis: a case study. Stoch Environ Res Risk Assess 26:33–42
Garcia MH (1994) Depositional turbidity currents laden with poorly sorted sediment. J Hydraul Eng 120(11):1240–1263
Georgakakos AP, Marks DH (1987) A new method for real time operation of reservoir systems. Water Resour Res 23(7):1376–1390
Georgiou PE, Papamichail DM, Vougioukas SG (2006) Optimal irrigation reservoir operation and simultaneous multi-crop cultivation area selection using simulated annealing. Irrig Drain 55(2):129–144
Goicoechea A, Hansen D, Duckstein L (1982) Multiobjective decision analysis with engineering and business applications. Wiley, New York
Gould NIM, Orban D, Toint PL (2003) GALAHAD, a library of thread-safe Fortran 90 packages for large-scale nonlinear optimization. ACM Trans Math Softw 29(4):353–372
Goulter IC, Tai FK (1985) Practical implications in the use of stochastic dynamic programming for reservoir operation. Water Resour Bull 21(1):65–74
Grygier JC, Stedinger JR (1985) Algorithms for optimizing hydropower system operation. Water Resour Res 21(1):1–10
Gu JJ, Guo P, Huang GH, Shen N (2012) Optimization of the industrial structure facing sustainable development in resource-based city subjected to water resources under uncertainty. Stoch Environ Res Risk Assess 27(3):659–673
Haykin S (1994) Neural networks: a comprehensive foundation. Macmillan, New York
Houck MH, Cohon JL (1978) Sequential explicitly stochastic linear programming models: a proposed method for design and management of multi-purpose reservoir system. Water Resour Res 14(2):161–168
Huang WC, Harboe R, Bogardi JJ (1991) Testing stochastic dynamic programming models conditioned on observed or forecasted inflows. Water Resour Plan Manag 117(1):28–36
Jacobs W, Kesteren WG, Winterwerp JC (2007) Permeability and consolidation of sediment mixtures as function of sand content and clay mineralogy. Int J Sediment Res 22(3):180–187
Jain SK, Das A, Srivastava DK (1999) Application of ANN for reservoir inflow prediction and operation. J Water Resour Plan Manag ASCE 125(5):263–271
Jain SK, Reddy NSRK, Chaube UC (2005) Analysis of a large inter-basin water transfer system in India. Hydrol Sci J 50(1):125–137
Johnson SA, Stedinger JR, Staschus K (1991) Heuristic operating policies for reservoir system simulation. Water Resour Res 27(5):673–685
Jothiprakash V, Shanthi G (2006) Single reservoir operating policies using genetic algorithm. Water Resour Manag 20(6):917–929
Kaczmarek Z (1990) Impact of climatic variations on storage reservoir systems. International Institute for Applied Systems Analysis WP-90-020
Karamouz M, Houck MH (1982) Annual and monthly reservoir operating rules generated by deterministic optimization. Water Resour Res 18(5):1337–1344
Karamouz M, Houck MH (1987) Comparison of stochastic and deterministic dynamic-programming for reservoir operating rule generation. Water Resour Bull 23(1):1–9
Karamouz M, Kerachian R, Zahraie B (2004) Monthly water resources and irrigation planning: case study of conjunctive use of surface and groundwater resources. Irrig Drain Eng ASCE 130(5):391–402
Karunanithi N, William JG, Darrell W, Ken B (1994) Neural networks for river flow prediction. Comput Civil Eng 8(2):201–220
Kelman J, Stedinger JR, Cooper LA, Yuan EH (1990) Sampling stochastic dynamic programming applied to reservoir operation. Water Resour Res 26(3):447–454
Kennedy J, Eberhart RC (1995) Particle swarm optimization. In: Proceedings of the IEEE international conference on neural networks, Piscataway, pp 1942–1948
Kennedy J, Eberhart RC (1997) A discrete binary version of the particle swarm algorithm. In: Proceedings of the conference on systems, man and cybernetics, Piscataway, pp 4104–4109
Kim T, Heo JH, Jeong CS (2006) Multireservoir system optimization in the Han River basin using multi-objective genetic algorithms. Hydrol Process 20(9):2057–2075
Kirkpatrick S, Gelatt CD Jr, Vecchi MP (1983) Optimization by simulated annealing. Science 220(4598):671–680
Klemes V (1985) Sensitivity of water resource systems to climate variations. World Climate Application Programme WCP-98, World Meteorological Organization
Ko SK, Fontane DG, Labadie JW (1992) Multiobjective optimization of reservoir systems operation. Water Resour Bull 28(1):111–127
Ko SK, Fontane DG, Margeta J (1994) Multiple reservoir system operational planning using multicriterion decision analysis. Eur J Oper Res 76(3):428–439
Kohonen T (2001) Self-organizing maps. Springer, Berlin
Krol M, de Vries MJ, Van Oel PR, de Araújo JC (2011) Sustainability of small reservoirs and large scale water availability under current conditions and climate change. Water Resour Manag 25:3017–3026
Kuo JT, Hsu NS, Chu WS, Wan S, Lin YJ (1990) Real-time operation of tanshui river reservoirs. Water Resour Plan Manag 116(3):349–361
Labadie JW (1993) Combining simulation and optimization in river basin management. In: Marco JB (ed) Stochastic hydrology and its use in water resources systems simulation and optimization. Kluwer, Dordrecht, pp 345–371
Labadie JW (2004) Optimal operation of multireservoir systems: state-of-the-art review. Water Resour Plan Manag ASCE 130(2):93–111
Lall U, Miller CW (1988) An optimization model for screening multipurpose reservoir systems. Water Resour Res 24(7):953–968
Lee Y, Kim SK, Ko IH (2006) Two-stage stochastic linear programming model for coordinated multi-reservoir operation. In: Zimbelman D, Loehlein WC (eds) Proceedings of operations management: operating reservoirs in changing conditions. ASCE
Li YP, Huang GH (2012) Risk analysis and management for water resources systems. Stoch Environ Res Risk Assess 27(3):593–597
Li YP, Huang GH, Chen X (2009) Multistage scenario-based interval-stochastic programming for planning water resources allocation. Stoch Environ Res Risk Assess 23:781–792
Little JD (1955) The use of storage water in a hydroelectric system. Oper Res 3:187–197
Liu P, Guo Shenglian, Lihua X, Wei L, Honggang Z (2006) Deriving reservoir refill operating rules by using the proposed DPNS model. Water Resour Manag 20(3):337–357
Liu D, Guo S, Chen X, Shao Q, Ran Q, Song X, Wang Z (2012) A macro-evolutionary multi-objective immune algorithm with application to optimal allocation of water resources in Dongjiang River basins, South China. Stoch Environ Res Risk Assess 26:491–507
Loganathan GV, Bhattacharya D (1990) Goal-programming techniques for optimal reservoir operations. Water Resour Plan Manag ASCE 116(6):820–838
Loucks DP (1968) Computer models for reservoir regulation. Sanit Eng 94(SA4):657–669
Loucks DP (2000) Sustainable water resources management. Water Int 25(1):3–10
Loucks DP, Stedinger JR, Haith DA (1981) Water resource systems planning and analysis. Prentice-Hall, Englewood Cliffs
Loucks DP, Falkson LM (1970) A comparison of some dynamic, linear and policy iteration methods for reservoir operation. Water Resour Bull 6(3):384–400
Lund JR (2006) Drought storage allocation rules for surface reservoir systems. Water Resour Plan Manag ASCE 132(5):395–397
Lund JR, Guzman J (1999) Derived operating rules for reservoirs in series or in parallel. Water Resour Plan Manag ASCE 125(3):143–153
Maass A, Hufschmidt MM, Robert D, Harold TA, Marglin SA (1962) Design of water resources systems. Harvard University Press, Cambridge
Mahmood K (1987) Reservoir sedimentation: impact, extent and mitigation. Technical paper No. 71, The World Bank, Washington, DC
Mahmut F, Mahmud G (2010) Monthly total sediment forecasting using adaptive neuro fuzzy inference system. Stoch Environ Res Risk Assess 24:259–270
Maier HR, Simpson AR, Zecchin AC, Foong WK, Phang KY, Seah HY (2003) Ant colony optimization for design of water distribution systems. Water Resour Plan Manag ASCE 129(3):200–209
Majid M, Fethi L (2008) Event in the case of a single reservoir: the Ghe`zala dam in Northern Tunisia. Stoch Environ Res Risk Assess 22:513–528
Marino MA, Mohammadi B (1983) Reservoir operation by linear and dynamic programming. Water Resour Plan Manag 109(4):303–319
Michalewicz Z (1999) Genetic algorithms + data structures = evolution programs, 3rd edn. Springer, New York
Ming H, Huang GH, Wei S, Yongping PL (2012) Inexact quadratic joint probabilistic programming for water quality management under uncertainty in the Xiangxi River, China. Stoch Environ Res Risk Assess. doi:10.1007/s00477-012-0648-z
Mohan S, Raipure DM (1992) Multiobjective analysis of multireservoir system. J Water Resour Plan Manag ASCE 118(4):356–370
Mousavi H, Ramamurthy AS (2000) Optimal design of multi-reservoir systems for water supply. Adv Water Resour 23(6):613–624
Mousavi SJ, Mahdizadeh K, Afshar A (2004a) A stochastic dynamic programming model with fuzzy storage states for reservoir operations. Adv Water Resour 27(11):1105–1110
Mousavi SJ, Moghaddam KS, Seifi A (2004b) Application of an interior point algorithm for optimization of a large-scale reservoir system. Water Resour Manag 18(6):519–540
Mousavi SJ, Ponnambalam K, Karray F (2005) Reservoir operation using a dynamic programming fuzzy rule-based approach. Water Resour Manag 19(5):655–672
Mousavi SJ, Ponnambalam K, Karray F (2007) Inferring operating rules for reservoir operations using fuzzy regression and ANFIS. Fuzzy Sets Syst 158(10):1064–1082
Murtagh BA, Saunders MA (1998) MINOS 5.5 user’s guide. Technical Report-SOL 83-20R. Systems Optimization Laboratory, Department of Operations Research, Stanford University, California
Nandalal KDW, Bogardi JJ (2007) Dynamic programming based operation of reservoirs: applicability and limits. Cambridge University Press, Cambridge
Needham JT, David W, Watkins DW, Lund JR, Nanda SK (2000) Linear programming for flood control in the Iowa and Des Moines rivers. Water Resour Plan Manage ASCE 126(3):118–127
Neelakantan TR, Pundarikanthan NV (2000) Neural network-based simulation-optimization model for reservoir operation. Water Resour Plan Manag 126(2):57–64
Nemec J, Schaake J (1982) Sensitivity of water resource systems to climate variations. Hydrol Sci J 27(3):327–343
Oehy CD, Schleiss A (2007) Control of turbidity currents in reservoirs by solid and permeable obstacles. J Hydraul Eng 133(6):637–648
Oron G, Rabinowitz G, Mehrez A (1991) Forecasting in optimizing dual system for energy generation and irrigation. Water Resour Plan Manag 117(3):287–300
Ouarda TB, Labadie JW (2001) Chance-constrained optimal control for multireservoir system optimization and risk analysis. Stoch Environ Res Risk Assess 15:185–204
Palmer R (2000) Task committee report on shared vision modeling in water resources planning. In: Proc, 26th Annual ASCE Water Resources Planning and Management Conf., Minneapolis
Papageorgiou M (1985) Optimal multireservoir network control by the discrete maximum principle. Water Resour Res 21(12):1824–1830
Payne JT, Wood AW, Hamlet AF, Palmer RN, Lettenmaier DP (2004) Mitigating the effects of climate change on the water resources of the Columbia River basin. Clim Change 62(1–3):233–256
Philbrick CR, Kitanidis PK (1999) Limitations of deterministic optimization applied to reservoir operations. Water Resour Plan Manag 125(3):135–142
Raje D, Mujumdar PP (2010) Reservoir performance under uncertainty in hydrologic impacts of climate chage. Adv Water Resour 33:312–326
Raman H, Chandramouli V (1996) Deriving a general operating policy for reservoirs using neural network. Water Resour Plan Manag ASCE 122(5):342–347
Ramirez MCV, Velho HFD, Ferreira NJ (2005) Artificial neural network technique for rainfall forecasting applied to the Sao Paulo region. J Hydrol 301(1–4):146–162
Randall D, Leasa C, Catharine SK, George W, Daniel PS (1997) Water supply planning simulation model using mixed-integer linear programming “engine”. Water Resour Plan Manag ASCE 123(2):116–124
Ranjithan SR (2005) Role of evolutionary computation in environmental and water resources systems analysis. Water Resour Plan Manag ASCE 131(1):1–2
Ranjithan S, Eheart JW, Garrett JH (1993) Neural network based screening for groundwater reclamation under uncertainty. Water Resour Res 29(3):563–574
Reddy MJ, Kumar DN (2006) Optimal reservoir operation using multi-objective evolutionary algorithm. Water Resour Manag 20(6):861–878
Reis LF, Bessler FT, Walters GA, Savic D (2006) Water supply reservoir operation by combined genetic algorithm–linear programming (GA–LP) approach. Water Resour Manag 20(2):227–255
Roefs TG, Bodin LD (1970) Multi-reservoir operation studies. Water Resour Res 6(2):410–420
Roefs TG, Guitron RA (1975) Stochastic reservoir models: relative computational effort. Water Resour Res 11(6):801–804
Rossi G, Ancarani A, Cancelliere A (1999) A comparison between neural network approach and multiple regression procedures for deriving reservoir operation policies. In: Singh VP et al (eds) Proceedings of water resources planning and management. Water Resources Publications, Fort Collins, pp 148–161
Sabet H, Creel C (1991) Network flow modeling of Oroville complex. Water Resour Plan Manag 117(3):301–320
Sahoo GB, Schladow SG, Reuter JE, Coats R (2011) Effects of climate change on thermal properties of lakes and reservoirs, and possible implications. Stoch Environ Res Risk Assess 25:445–456
Sharif M, Wardlaw R (2000) Multireservoir systems optimization using genetic algorithms: case study. Comput Civil Eng 14(4):255–263
Shi Y, Eberhart R (1998) A modified particle swarm optimizer, in: Evolutionary Computation Proceedings, IEEE World Congress on Computational Intelligence, pp 69–73
Su S, Chen X, DeGloria SD, Wu J (2010) Integrative fuzzy set pair model for land ecological security assessment: a case study of Xiaolangdi Reservoir Region, China. Stoch Environ Res Risk Assess 24:639–647
Shourian M, Mousavi S, Tahershamsi A (2008) Basin-wide water resources planning by integrating PSO algorithm and MODSIM. Water Resour Manag 22(10):1347–1366
Sigvaldason OT (1976) Simulation model for operating a multipurpose multi-reservoir system. Water Resour Res 12(2):263–278
Simonovic SP (1992) Reservoir systems analysis: closing gap between theory and practice. Water Resour Plan Manag 118(3):262–280
Simonovic SP (2000) Tools for water management: one view of future. Water Int 25(1):76–88
Simonovic SP, Marino MA (1980) Reliability programming in reservoir management, single multipurpose reservoir. Water Resour Res 16(5):844–848
Simpson AR, Maier HR, Foong WK, Phang KY, Seah HY, Tan CL (2001) Selection of parameters for ant colony optimization applied to the optimal design of water distribution systems, vol 193. In: Proc, int congress on modelling and simulation, Canberra (Australia), pp 1–6
Sreenivasan KR, Vedula S (1996) Reservoir operation for hydropower optimization: a chance constrained approach. In. Sadhana 21:503–510
Stedinger JR, Sule BF, Loucks DP (1984) Stochastic dynamic program-ming models for reservoir operation optimization. Water Resour Res 20(11):1499–1505
Stutzle T, Hoos HH (2001) Max–min ant system. Fut Gener Comput Syst 16:889–914
Su SY, Deininger RA (1974) Modeling the regulation of Lake Superior under uncertainty of future water supplies. Water Resour Res 10(1):11–25
Suiadee W, Tingsanchali T (2007) A combined simulation-genetic algorithm optimization model for optimal rule curves of a reservoir: a case study of the Nam Oon Irrigation Project, Thailand. Hydrol Process 21(23):3211–3225
Taghi SM, Halit A, Fazli O (2009) Operation analysis of Eleviyan irrigation reservoir dam by optimization and stochastic simulation. Stoch Environ Res Risk Assess 23:1187–1201
Teegavarapu RS, Simonovic SP (2000) Short-term operation model for coupled hydropower reservoirs. Water Resour Plan Manag ASCE 126(2):98–106
Teegavarapu RS, Simonovic SP (2002) Optimal operation of reservoir systems using simulated annealing. Water Resour Manag 16(5):401–428
Teixeira AS, Mariño MA (2002) Coupled reservoir operation–irrigation scheduling by dynamic programming. J Irrig Drain Eng ASCE 128(2):63–73
Tilmant A, Vanclooster M, Duckstein L, Persoons E (2002a) Comparison of fuzzy and nonfuzzy optimal reservoir operating policies. Water Resour Plan Manag ASCE 128(6):390–398
Tilmant A, Faouzi EH, Vanclooster M (2002b) Optimal operation of multipurpose reservoirs using flexible stochastic dynamic programming. Appl Soft Comput 2(1):61–74
Torabi M, Mobasheri F (1973) A stochastic dynamic programming model for the optimum operation of a multi-purpose reservoir. Water Resour Bull 9(6):1089–1099
Trezos T, Yeh WW (1987) Use of stochastic dynamic programming for reservoir management. Water Resour Res 23(6):983–996
Tu MY, Hsu NS, Yeh WW (2003) Optimization of reservoir management and operation with hedging rules. Water Resour Plan Manag ASCE 129(2):86–97
Vanderbei RJ (2006) LOQO user’s manual-version 4.05. Princeton University, Princeton
Vedula S, Mujumdar PP, Sekhar GC (2005) Conjunctive use modeling for multicrop irrigation. Agric Water Manag 73(3):193–221
Vesanto J, Alhoniemi E (2000) Clustering of the self-organizing map. IEEE Trans Neural Networks 11(3):586–600
Wang YC, Yoshitani J, Fukami K (2005) Stochastic multiobjective optimization of reservoirs in parallel. Hydrol Process 19(18):3551–3567
Wardlaw R, Sharif M (1999) Evaluation of genetic algorithms for optimal reservoir system operation. Water Resour Plan Manag ASCE 125(1):25–33
Wurbs RA (1993) Reservoir-system simulation and optimization models. Water Resour Plan Manag 119(4):455–472
Wurbs RA, Karama AS (1995) Salinity and water-supply reliability. Water Resour Plan Manag ASCE 121(5):352–358
Wurbs RA, Tibbets (1985) State-of-the-art review and annotated bibliography of systems analysis techniques applied to reservoir operation. Tech. Rep. Texas Water Resources Institute, College Station
Yakowitz S (1982) Dynamic programming applications in water resources. Water Resour Res 18(4):673–696
Yang SL, Zhang J, Zhu J, Smith JP, Dai S, Gao A, Li P (2005) Impact of dams on Yangtze River sediment supply to the sea and delta intertidal wetland response. J Geophys Res 110:F03006. doi:10.1029/2004JF000271
Yao H, Georgakakos AP (2001) Assessment of Folsom Lake response to historical and potential future climate scenarios: 2. Reservoir management. J Hydrol 249:176–196
Yeh WWG (1985) Reservoir management and operations models: a state-of-the-art review. Water Resour Res 21(12):1797–1818
Young G (1967) Finding reservoir operating rules. J Hydraul Div 93(6):297–321
Zhang Y, Xia J, Shao Q, Zhai X (2011) Water quantity and quality simulation by improved SWAT in highly regulated Huai River Basin of China. Stoch Environ Res Risk Assess. doi:10.1007/s00477-011-0546-9 (in press)
Zadeh LA (1965) Fuzzy sets. Inf Cont 8:338–353
Zecchin AC, Maier HR, Simpson AR, Roberts A, Berrisford MJ, Leonard M (2003) Max–min ant system applied to water distribution system optimization, vol 2. In: Modsim–international congress on modeling and simulation. Modelling and Simulation Society of Australia and New Zealand Inc., Townsville, pp 795–800
Zhou JL, Tits AL, Lawrence CT (1998) A FORTRAN code for solving constrained nonlinear (minimax) optimization problems, generating iterates satisfying all inequality and linear constraints. User’s guide for FSQP version 3.7. University of Maryland, College Park
Zhu M (2012) Soil erosion risk assessment with CORINE model: case study in the Danjiangkou Reservoir region, China. Stoch Environ Res Risk Assess 26:813–822
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This research was supported by a research Grant to the second author by Smart Engineering System, University Kebangsaan Malaysia, and Science Fund Project 01-01-02-SF0581, Ministry of Science, Technology and Innovation (MOSTI).
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Fayaed, S.S., El-Shafie, A. & Jaafar, O. Reservoir-system simulation and optimization techniques. Stoch Environ Res Risk Assess 27, 1751–1772 (2013). https://doi.org/10.1007/s00477-013-0711-4
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DOI: https://doi.org/10.1007/s00477-013-0711-4