Well Field Management Using Multi-Objective Optimization

Water Resources Management

Volumn 27, Issue 3, 2013, Pages 629-648

  Hansen, Annette K ^a,e   Hendricks Franssen, Harrie Jan ^b,f   Bauer Gottwein, Peter ^a   Madsen, Henrik ^c   Rosbjerg, Dan ^a   Kaiser, Hans Peter ^d  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b ETH ZURICH   (Switzerland)

^c DHI   (Denmark)

^d Water Supply of Zurich (WVZ)   (Switzerland)

^e RAMBOLL   (Denmark)

^f FORSCHUNGSZENTRUM JÜLICH   (Germany)

Author keywords

Genetic algorithms; Groundwater management; Multi objective; Optimization; Water resources

Indexed keywords

CONSTRAINED OPTIMIZATION; GENETIC ALGORITHMS; GROUNDWATER; GROUNDWATER POLLUTION; GROUNDWATER RESOURCES; INFILTRATION; INJECTION (OIL WELLS); OPTIMIZATION; POTABLE WATER; SCHEDULING; WATER MANAGEMENT; WATER QUALITY; WATER RESOURCES; WATER WELLS; WATERWORKS;

EFFICIENT MANAGEMENTS; GROUNDWATER MANAGEMENT; INFILTRATION BASINS; MANAGEMENT OBJECTIVES; MULTI OBJECTIVE; OPTIMIZATION METHOD; SEQUENTIAL OPTIMIZATION; WELL FIELD MANAGEMENTS;

MULTIOBJECTIVE OPTIMIZATION;

DRINKING WATER; GENETIC ALGORITHM; GROUNDWATER RESOURCE; OPTIMIZATION; WATER DEMAND; WATER MANAGEMENT; WELL WATER;

SWITZERLAND; ZURICH [SWITZERLAND];

EID: 84872939901     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-012-0125-y     Document Type: Article

References (40)

1. Ahlfeld DP, Baro-Montes G (2008) Solving unconfined groundwater flow management problems with successive linear programming. J Water Resour Plan Manage 134: 404-412.
2. Barán B, von Lücken C, Sotelo A (2005) Multi-objective pump scheduling optimisation using evolutionary strategies. Adv Eng Softw 36: 39-47.
3. Bauser G, Franssen HJH, Kaiser HP, Kuhlmann U, Stauffer F, Kinzelbach W (2010) Real-time management of an urban groundwater well field threatened by pollution. Environ Sci Technol 44(17): 6802-6807.
4. Bleuler S, Laumanns M, Thiele L, Zitzler E (2003) PISA - a platform and programming language independent interface for search algorithms. ETH Zürich, Computer Engineering and Networks Laboratory. http://www. tik. ee. ethz. ch/sop/pisa/.
5. Chang JX, Huang Q, Wang YM (2005) Genetic algorithms for optimal reservoir dispatching. Water Resour Manag 19: 321-331.
6. Cheng AHD, Halhal D, Naji A, Ouazar D (2000) Pumping optimization in saltwater-intruded coastal aquifers. Water Resour Res 36(8): 2155-2165.
7. Choudhari S, Raj P (2010) Multiobjective multireservoir operation in fuzzy environment. Water Resour Manag 24(10): 2057-2073.
8. Cieniawski SE, Eheart JW, Ranjithan S (1995) Using genetic algorithms to solve a multiobjective groundwater monitoring problem. Water Resour Res 31(2): 399-409.
9. Deb K (2001) Multi-objective optimization using evolutionary algorithms. Wiley, Chichester, UK.
10. Deb K, Agrawal RB (1995) Simulated binary crossover for continous search space. Complex Syst 9: 115-148.
11. Deb K, Pratap A, Meyariavan T (2001) Constrained test problems for multi-objective evolutionary optimization. Tech. Rep. 200002, Kanpur Genetic Algorithms Laboratory (KanGAL), Kanpur India.
12. Doppler T, Hendricks Franssen HJ, Kaiser HP, Kuhlman U, Stauffer F (2007) Field evidence of a dynamic leakage coefficient for modelling river-aquifer interactions. J Hydrol 347: 177-187.
13. Dougherty D, Marryott R (1991) Optimal groundwater-management: 1. Simulated annealing. Water Resour Res 27(10): 2493-2508.
14. Engeler I, Hendricks Franssen HJ, Mueller R, Stauffer F (2011) The importance of coupled modelling of variably saturated groundwater flow-heat transport for assessing river-aquifer interactions. J Hydrol 397(3-4): 295-305.
15. Erickson M, Mayer A, Horn J (2002) Multi-objective optimal design of groundwater remediation systems: application of the niched Pareto genetic algorithm (NPGA). Adv Water Resour 25: 51-65.
16. Farmani R, Savic D, Walters G (2005) Evolutionary multi-objective optimization in water distribution network design. Eng Optim 37(2): 167-183.
17. Fowler KR, Kelley CT, Miller CT, Kees CE, Darwin RW, Reese JP, Farthing MW, Reed MS (2004) Solution of a well-field design problem with implicit filtering. Optim Eng 5(2): 207-234.
18. Goldberg D (1989) Genetic algorithms in search, optimization, and machine learning. Addison-Wesley.
19. Hendricks Franssen HJ, Kaiser HP, Kuhlmann U, Bauser G, Stauffer F, Müller R, Kinzelbach W (2011) Operational real-time modeling with EnKF of variably saturated subsurface flow including stream-aquifer interaction and parameter updating. Water Resour Res 47, W02532, 20 pp. doi: 10. 1029/2010WR009480.
20. Karterakis S, Karatzas G, Papadopoulou M (2007) Application of linear programming and differential evolutionary optimization methodologies for the solution of coastal subsurface water management problems subject to environmental criteria. J Hydrol 342: 270-282.
21. Katsifarakis K, Petala Z (2006) Combining genetic algorithms and boundary elements to optimize coastal aquifers' management. J Hydrol 327(1-2): 200-207.
22. Kempf T, Freimoser M, Haldimann P, Longo V, Müller E, Schindler C, Styger G (1986) Grundswasservorkommen im Kanton Zürich. Beitraege zur Geologie der Schweiz, Bern.
23. Kollat J, Reed P (2006) Comparing state-of-the-art evolutionary multi-objective algorithms for long-term groundwater monitoring design. Adv Water Resour 29: 792-807.
24. Kollat J, Reed P (2007) A computational scaling analysis of multiobjective evolutionary algorithms in long-term groundwater monitoring applications. Adv Water Resour 30: 408-419. ISI: 000244977700009.
25. Kourakos G, Mantoglou A (2011) Simulation and multi-objective of coastal aquifers in semi-arid regions. Water Resour Manag 25(4): 1063-1074.
26. Lopez-Ibanez M, Prasad D, Paechter B (2008) Ant colony optimization for optimal control of pumps in water distribution networks. J Water Resour Plan Manage 134(4): 337-346.
27. Mantoglou A, Papantoniou M (2008) Optimal design of pumping networks in coastal aquifers using sharp interface models. J Hydrol 361: 52-63.
28. Mantoglou A, Papantoniou M, Giannoulopoulos P (2004) Management of coastal aquifers based on nonlinear optimization and evolutionary algorithms. J Hydrol 297: 209-228.
29. Mayer A, Kelley C, Miller C (2002) Optimal design for problems involving flow and transport phenomena in saturated subsurface systems. Adv Water Resour 25: 1233-1256.
30. McKinney D, Lin M (1994) Genetic algorithm solution of groundwater-management models. Water Resour Res 30: 1897-1906.
31. Meyer PD, Brill ED (1988) A method for locating wells in a groundwater monitoring network under conditions of uncertainty. Water Resour Res 24(8): 1277-1282.
32. Nicklow J, Reed P, Savic D, Dessalegne T, Harrell L, Chan-Hilton A, Karamouz M, Minsker B, Ostfeld A, Singh A, Zechman E (2010) State of the art for genetic algorithms and beyond in water resources planning and management. J Water Resour Plan Manage-Asce 136: 412-432.
33. Ormsbee LE, Lansey KE (1994) Optimal control of water supply pumping systems. J Water Resour Plan Manage 120(2): 237-252.
34. Ritzel BJ, Eheart JW, Ranjithan S (1994) Using genetic algorithms to solve a multiple objective groundwater pollution containment problem. Water Resour Res (30)5: 1589-1603.
35. Siegfried T, Kinzelbach W (2006) A multiobjective discrete stochastic optimization approach to shared aquifer management: methodology and application. Water Resour Res 42: W02, 402.
36. Siegfried T, Bleuler S, Laumanns M, Zitzler E, Wolfgang K (2009) Multiobjective groundwater management using evolutionary algorithms. IEEE Trans Evol Comput 13: 229-242.
37. SPRING (2010) SPRING software. delta h Ingenieurgesellscaft mbH, Witten, Germany.
38. Tang Y, Reed P, Kollat J (2007) Parallelization strategies for rapid and robust evolutionary multiobjective optimization in water resources applications. Adv Water Resour 30(3): 335-353.
39. Zitzler E, Laumanns M, Thiele L (2002) SPEA2: improving the strength Pareto evolutionary algorithm. Tech. Rep. 103, Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH) Zurich, Gloriastrasse 35, CH-8092 Zurich, Switzerland. http://www. tik. ee. ethz. ch/pisa/.
40. van Zyl J, Savic D, Walters G (2004) Operational optimization of water distribution systems using a hybrid genetic algorithm. J Water Resour Plan Manage-Asce 130(2): 160-170.