A stochastic conflict resolution model for water quality management in reservoir-river systems

Advances in Water Resources

Volumn 30, Issue 4, 2007, Pages 866-882

  Kerachian, Reza ^a   Karamouz, Mohammad ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Genetic Algorithms; Reservoir operation; River reservoir systems; Selective withdrawal; Waste load allocation; Water quality management

Indexed keywords

COMPUTER SIMULATION; DYNAMIC PROGRAMMING; GENETIC ALGORITHMS; RESERVOIRS (WATER); STOCHASTIC MODELS; WATER MANAGEMENT; WATER QUALITY; WATER SUPPLY;

RESERVOIR OPERATION; WASTE LOAD ALLOCATION; WATER QUALITY MANAGEMENT;

RIVERS;

COMPUTER SIMULATION; DYNAMIC PROGRAMMING; GENETIC ALGORITHMS; RESERVOIRS (WATER); RIVERS; STOCHASTIC MODELS; WATER MANAGEMENT; WATER QUALITY; WATER SUPPLY;

COMPUTER SIMULATION; CONFLICT MANAGEMENT; GENETIC ALGORITHM; RESERVOIR; RIVER SYSTEM; STOCHASTICITY; WATER MANAGEMENT; WATER QUALITY;

ASIA; EURASIA; IRAN; MIDDLE EAST;

EID: 33847048940     PISSN: 03091708     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.advwatres.2006.07.005     Document Type: Article

References (40)

1. Boner M.C., and Furland L.P. Seasonal treatment and variable effluent quality based on assimilative capacity. Res J Water Pollut Control Fed 54 (1982) 1408-1416
2. Brown LC, Barnwell O. The enhanced stream water quality models, QULA2E and QUAL2E-UNCAS: documentation and user manual. EPA, 1987.
3. Burn D.H. Water quality management through combined simulation-optimization. J Environ Eng, ASCE 115 5 (1989) 1011-1024
4. Burn D.H., and Yulianti S. Waste-load allocation using genetic algorithms. J Water Res Plan Manage, ASCE 127 2 (2001) 121-129
5. Sharon G., Campbell S.G., Hanna R.B., Flug M., and Scott J.F. Modeling Klamath River system operation for quantity and quality. J Water Res Plan Manage, ASCE 127 5 (2001) 284-294
6. Cantu'-Paz E. Order statistics and selection methods of evolutionary algorithms. Info Proc Lett 82 (2002) 15-22
7. Chaves P., Tsukatani T., and Kojiri T. Operation of storage reservoir for water quality by using optimization and artificial intelligence techniques. Math Comput Simulat 67 (2004) 419-432
8. Dandy G., and Crawley P. Optimum operation of a multiple reservoir system including salinity effects. Water Resour Res 28 4 (1992) 979-990
9. De Azvedo L.G.T., Gates T.K., Fontane D.G., Labadie J.W., and Porto R.L. Integration of water quantity and quality in strategic river basin planning. J Water Res Plan Manage 126 2 (2000) 85-97
10. Denicolo V., and Mariotti M. Nash bargaining theory, nonconvex problems and social welfare orderings. Theory Decision 48 (2000) 351-358
11. Ellis J.H. Stochastic water quality optimization using imbedded chance constraint. Water Resour Res 23 12 (1987) 2227-2338
12. Fahmy HS, King JP, Wentzel MW, Seton JA. Economic optimization of river management using genetic algorithms. Paper No. 943034, ASAE 1994 int summer meeting, St. Joseph, Mich, 1994.
13. Ferrara R.A., and Dimino M.A. A case study analysis for seasonal nitrification: economic efficiency and water quality preservation. Res J Water Pollut Control Fed 57 (1985) 763-769
14. Fontane D., Labadie J.W., and Loftis B. Optimal control of reservoir discharge quality through selective withdrawal. Water Resour Res 17 6 (1981) 1594-1604
15. Fujiwara O., Puangmaha W., and Hanaki K. River basin water quality management in stochastic environment. J Environ Eng, ASCE 114 4 (1988)
16. Ganji A, Khalili D, Karamouz M. Development of stochastic dynamic Nash game model for reservoir operation. I: The symmetric stochastic model with perfect information. Adv Water Resour, in press, doi:10.1016/j.advwatres.2006.04.004.
17. Ganji A, Karamouz M, Khalili D. Development of stochastic dynamic Nash game model for reservoir operation. II: The value of players' information availability and cooperative behaviors. Adv Water Resour, in press, doi:10.1016/j.advwatres.2006.03.008.
18. Gen M., and Cheng R. Genetic algorithm and engineering optimization (2000), Wiley Europe Publication p. 512
19. Goldberg D.E. Genetic algorithms in search, optimization and machine learning (1989), Addison-Wesley, Reading, MA p. 399
20. Harsanyi J.C., and Selten R. A generalized Nash solution for two-person bargaining games with incomplete information. Manage Sci 18 (1972) 80-106
21. Hydrologic Engineering Center (HEC), HEC-5Q simulation on flood control and conservation systems, appendix on water quality analysis, 1992.
22. Karamouz M, Kerachian R. Optimal operation of reservoir systems considering the water quality: application of stochastic sequential genetic algorithms. In: Proceedings of ASCE World water and environmental resources congress 2004, Salt Lake City, Utah, 2004.
23. Karamouz M, Kerachian R. Optimal reservoir operation considering the water quality. In: Proceedings of hydro-informatics 2004, Singapore, 2004.
24. Karamouz M., and Vasiliadis H. A Bayesian stochastic optimization of reservoir operation using uncertain forecast. Water Resour Res 28 5 (1992)
25. Kerachian R., and Karamouz M. Waste-load allocation model for seasonal river water quality management. Scientia Iranica 12 2 (2005) 117-130
26. Kerachian R. Water quality management in river-reservoir systems. PhD dissertation, Department of Civil and Environmental Engineering, Amirkabir University (Tehran Polytechnic), Teheran, Iran, 2004.
27. Labadie J.W. Optimal operation of multi-reservoir systems: state-of-the-art review. J Water Resour Plan Manage, ASCE 130 2 (2004) 93-111
28. Lence B.J., and Takyi A.K. Data requirements for seasonal discharge programs: an application of a regionalized sensitivity analysis. Water Resour Res 28 7 (1992) 1781-1789
29. Loftis B, Labadie JW, Fontane D. Optimal operation of a system of lakes for quality and quantity. In: Proceedings of specially conference on computer applications in water resources, Buffalo, NY, 1985.
30. Michalewicz Z. Genetic algorithms + data structure = evolution programs (1992), Springer, New York
31. Mousavi S.J., Karamouz M., and Menhaj M.B. Fuzzy-state stochastic dynamic programming for reservoir operation. J Water Resour Plan Manage, ASCE 130 6 (2004) 460-470
32. Nandalal KDW, Bogardi JJ. Reservoir management for improving river water quality. In: Proceedings of water resources management under drought or water storage conditions, Rotterdam, 1995. p. 257-64.
33. Nash J.F. The bargaining problem. Econometrica 18 (1950) 155-162
34. Oliveira R., and Loucks D.P. Operating rules for multi-reservoir systems. Water Resour Res 33 4 (1997) 839-851
35. Palmer RN, Ryu J, Jeong S, Kim YO. An application of water conflict resolution in the Kum river basin, Korea. In: Proceedings of ASCE environmental and water resour inst conf, Virginia, May 2002, p. 19-22.
36. Richards A, Singh N. Two level negotiations in bargaining over water. In: Proceedings of the international game theory conference, Bangalore, India, 1996. p. 1-23.
37. Shahidehpour M., Yamin H., and Li Z. Market operations in electric power systems (2001), John Wiley and Sons, New York p. 191-232
38. Takyi A.K., and Lence B.J. Markov chain model for seasonal water quality management. J Water Resour Plan Manage, ASCE 121 2 (1995) 144-157
39. Wardlaw R., and Sharif M. Evaluation of genetic algorithms for optimal reservoir system operation. J Water Resour Plan Manage Div Am Soc Civ Eng 125 1 (1999) 25-33
40. Willey R.G., Smith D.J., and Duke Jr. H. Modeling water resources systems for water-quality management. J Water Resour Plan Manage, ASCE 122 3 (1996) 171-179