Multi-Objective Quantity-Quality Reservoir Operation in Sudden Pollution

Water Resources Management

Volumn 28, Issue 2, 2014, Pages 567-586

  Shokri, Ashkan ^a   Bozorg Haddad, Omid ^a   Mariño, Miguel A ^b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b Univ of California   (United States)

Author keywords

Multi objective optimization; NSGAII ALANN hybrid algorithm; Reservoir operation; Surface water MTBE simulation; Water quality crisis

Indexed keywords

HYBRID ALGORITHMS; METHYL TERT BUTYL ETHER; MULTI LAYER PERCEPTRON; OBJECTIVE FUNCTIONS; OPTIMIZATION METHOD; RESERVOIR OPERATION; WATER ALLOCATIONS; WATER RESOURCE SYSTEMS;

ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION; NEURAL NETWORKS; POLLUTION; RIVER POLLUTION; WATER QUALITY;

RESERVOIRS (WATER);

ADVECTION; ALGORITHM; ARTIFICIAL NEURAL NETWORK; CRISIS MANAGEMENT; DISPERSION; MTBE; OPTIMIZATION; RESERVOIR; SURFACE WATER; VAPORIZATION; WATER POLLUTION; WATER QUALITY;

ALBORZ; IRAN; KARAJ;

EID: 84892483046     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-013-0504-z     Document Type: Article

References (48)

1. Afshar A, Shafii M, Bozorg Haddad O (2011) Optimizing multi-reservoir operation rules: an improved HBMO approach. J Hydroinf 13(1): 121-139.
2. Aly AH, Peralta PC (1999) Optimal design of aquifer cleanup systems under uncertainty using a neural network and a genetic algorithm. Water Resour Res 35(8): 2523-2532.
3. Belayneh MZ, Bhallamudi SM (2012) Optimization model for management of water quality in a tidal river using upstream releases. J Water Resour Protect 4: 149-162.
4. Bender DA, Asher WE, Zogorsk JS (2003) A deterministic model to estimate volatile organic compound concentrations in lakes and reservoirs. U. S. Geological Survey, Open-file report, Reston, pp 03-212.
5. Bozorg Haddad O, Mariño MA (2007) Dynamic penalty function as a strategy in solving water resources combinatorial optimization problems with honey-bee optimization (HBMO) algorithm. J Hydroinf 9(3): 233-250.
6. Bozorg Haddad O, Adams BJ, Mariño MA (2008a) Optimum rehabilitation strategy of water distribution systems using the HBMO algorithm. J Water Supply Res Technol AQUA 57(5): 327-350.
7. Bozorg Haddad O, Afshar A, Mariño MA (2008b) Design-operation of multi-hydropower reservoirs: HBMO approach. Water Resour Manag 22(12): 1709-1722.
8. Bozorg Haddad O, Afshar A, Mariño MA (2008c) Honey-bee mating optimization (HBMO) algorithm in deriving optimal operation rules for reservoirs. J Hydroinf 10(3): 257-264.
9. Bozorg Haddad O, Afshar A, Mariño MA (2009) Optimization of non-convex water resource problems by honey-bee mating optimization (HBMO) algorithm. Eng Comput (Swansea Wales) 26(3): 267-280.
10. Bozorg Haddad O, Afshar A, Mariño MA (2011a) Multireservoir optimisation in discrete and continuous domains. Proc Inst Civ Eng Water Manag 164(2): 57-72.
11. Bozorg Haddad O, Moradi-Jalal M, Mariño MA (2011b) Design-operation optimisation of run-of-river power plants. Proc Inst Civ Eng Water Manag 164(9): 463-475.
12. Castelletti A, Pianosi F, Soncini-Sessa R, Antenucci JP (2010) A multi-objective response surface approach for improved water quality planning in lakes and reservoirs. Water Resour Res 46(6). doi: 10. 1029/2009WR008389.
13. Chaves P, Tsukatani T, Kojiri T (2004) Operation of storage reservoir for water quality by using optimization and artificial intelligence techniques. Math Comput Simul 67(4): 419-432.
14. Chen L, McPhee J, Yeh W (2007) A diversified multiobjective GA for optimization reservoir rule curves. Adv Water Resour 30(1): 51-66.
15. Cole MT, Wells AS (2006) CE-QUAL-W2: A two-dimensional, laterally averaged, hydrodynamic and water quality model, Version 3. 5. U. S. Army Corps of Engineers, Washington DC.
16. Dandy G, Crawley P (1992) Optimum operation of multiple reservoir system inducing salinity effect. Water Resour Res 28(4): 979-990.
17. Deb K, Partap A, Agarwal S, Meyarivan T (2002) Fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 6(2): 182-197.
18. Dhar A, Datta B (2006) Chance constrained water quality management model for reservoir systems. ISH J Hydraul Eng 12(3): 39-48.
19. Dhar A, Datta B (2008) Optimal operation of reservoirs for downstream water quality control using linked simulation optimization. Hydrol Process 22(6): 842-853.
20. Fallah-Mehdipour E, Bozorg Haddad O, Beygi S, Mariño MA (2011) Effect of utility function curvature of Young's bargaining method on the design of WDNs. Water Resour Manag 25(9): 2197-2218.
21. Fallah-Mehdipour E, Bozorg Haddad O, Mariño MA (2012) Extraction of multi-crop planning rules in a reservoir system: application of evolutionary algorithms. J Irrig Drain Eng 139(6): 490-498.
22. Fontane D, Labadie JW, Loftis B (1981) Optimal control of reservoir discharge quality through selective withdrawal. Water Resour Res 17(6): 1594-1604.
23. Ghajarnia N, Bozorg Haddad O, Mariño MA (2011) Performance of a novel hybrid algorithm in the design of water networks. Proc Inst Civ Eng Water Manag 164(4): 173-191.
24. Hakimi-Asiabar M, Ghodsypour H, Kerachian R (2010) Deriving operation policies for multiobjective reservoir systems: application of self-learning genetic algorithm. Appl Soft Comput 10(4): 1151-1163.
25. Han J, Moraga C (1995) The influence of the sigmoid function parameters on the speed of backpropagation learning. In: From natural to artificial neural computation. Springer, Berlin, pp 195-201.
26. Hayes DF, Labadie JW, Sanders TG, Brown JK (1998) Enhancing water quality in hydropower system operation. Water Resour Res 34(3): 471-483.
27. Heald PC, Schladow SG, Reuter JE, Allen BC (2005) Modeling MTBE and BTEX in lakes and reservoirs used for recreational boating. Environ Sci Technol 39(4): 1111-1118.
28. Hyduk W, Laudie H (1974) Prediction of diffusion coefficients for nonelectrolytes in dilute aqueous solutions. Am Inst Chem Eng 20(3): 611-615.
29. Johnson VM, Rogers LL (2000) Accuracy of neural network approximators in simulation optimization. J Water Resour Plan Manag 126(2): 48-56.
30. Karamouz M, Zahraie B, Kerachian R (2003) Development of a master plan for water pollution control using MCDM techniques: a case study. Water Int 28(4): 478-490.
31. Kerachian R, Karamouz M (2006) Optimal reservoir operation considering the water quality issue: A deterministic and stochastic conflict resolution approach. Water Resour Res 42(12): 1-17.
32. Kerachian R, Karamouz M (2007) A stochastic conflict resolution model for water quality management on reservoir systems. Adv Water Resour 30(4): 866-882.
33. Lence BJ, Takyi AK (1992) Data requirement for seasonal discharge program: an application of a regionalized sensitivity analysis. Water Resour Res 28(7): 1781-1789.
34. Lewis WK, Whitman WG (1924) Principles of gas absorption. Ind Eng Chem 16(12): 1215-1220.
35. Loftis B, Labadie JW, Fontane DG (1985) Optimal operation of a system of lakes for quality and quantity. Specialty Conference of Computer Applications in Water Resources, New York, pp 693-702.
36. Moradi-Jalal M, Bozorg Haddad O, Karney BW, Mariño MA (2007) Reservoir operation in assigning optimal multi-crop irrigation areas. Agric Water Manag 90(1-2): 149-159.
37. Nash JF (1950) Equilibrium points in n-person games. Proc Natl Acad Sci 36(1): 48-49.
38. Neeklakantan TR, Pundarikanthan NV (2000) Neural network-based simulation-optimization model for reservoir operation. J Water Resour Plan Manag 126(2): 57-64.
39. Noory H, Liaghat AM, Parsinejad M, Bozorg Haddad O (2012) Optimizing irrigation water allocation and multicrop planning using discrete PSO algorithm. J Irrig Drain Eng 138(5): 437-444.
40. Rasoulzadeh-Gharibdousti S, Bozorg Haddad O, Mariño MA (2011) Optimal design and operation of pumping stations using NLP-GA. Proc Inst Civ Eng Water Manag 164(4): 163-171.
41. Rathbun RE (2000) Transport, behavior and fate of volatile organic compounds in stream. Environ Sci Technol 30(2): 129-295.
42. Sabbaghpour S, Naghashzadehgan M, Javaherdeh K, Bozorg Haddad O (2012) HBMO algorithm for calibrating water distribution network of Langarud city. Water Sci Technol 65(9): 1564-1569.
43. Shirangi E, Kerachian R, Shafai Bejestan M (2008) A simplified model for reservoir operation considering the water quality issues: application of the young conflict resolution theory. Environ Monit Assess 146(1-3): 77-89.
44. Shokri A, Haddad OB, Mariño MA (2013) Algorithm for increasing the speed of evolutionary optimization and its accuracy in multi-objective problems. Water Resour Manag 27(7): 2231-2249.
45. Solomatine DP, Torres A (1996) Neural network approximation of a hydrodynamic model in optimizing reservoir operation. Proceedings of the Second International Conference on Hydroinformatics, Zurich, Switzerland.
46. Soltanjalili M, Bozorg Haddad O, Mariño MA (2010) Effect of breakage level one in design of water distribution networks. Water Resour Manag 25(1): 311-337.
47. Soltanjalili M, Bozorg Haddad O, Seifollahi-Aghmiuni S, Mariño MA (2013) Water distribution network simulation by optimization approaches. Water Sci Technol Water Supply 13(4): 1063-1079.
48. Young HP (1993) An evolutionary model of bargaining. J Econ Theory 59(1): 145-168.