Four approaches for groundwater development planning

Engineering Optimization

Volumn 35, Issue 1, 2003, Pages 39-49

  Cunha, Maria Da Conceição ^a  

^a UNIVERSITY OF COIMBRA   (Portugal)

Author keywords

Aquifer management; Infrastructure design; Least cost design and operation; Optimization; Well location

Indexed keywords

AQUIFERS; COSTS; NONLINEAR PROGRAMMING; PROBLEM SOLVING; SIMULATED ANNEALING; WELLS;

AQUIFER MANAGEMENT;

GROUNDWATER;

EID: 0037295335     PISSN: 0305215X     EISSN: None     Source Type: Journal    
DOI: 10.1080/0305215031000078393     Document Type: Article

References (30)

1. Wagner, B. J. and Gorelick, S. M. (1987). Optimal groundwater quality management under parameter uncertainty. Water Resour. Res., 23(7), 1162-1174.
2. [2] Ahlfeld, D. P., Mulvey, J. M., Pinder, G. F. and Wood, E. F. (1988). Contaminated groundwater remediation design using simulation, optimization and sensitivity theory, 1, Model development. Water Resour. Res., 24(3), 431-441.
3. Wang, W. and Ahlfeld, D. P. (1994). Optimal groundwater remediation with well location as a decision variable: Model development. Water Resour. Res., 30(5), 1605-1618.
4. Shafike, N. G., Duckstein, L. and Maddock, T., III (1992). Multicriterion analysis of groundwater contamination management. Water Resour. Bull., 28(1), 33-43.
5. Ratzlaff, S. A., Aral, M. M. and Al-Khayyal, F. (1992). Optimal design of groundwater capture systems using segmented velocity-direction constraints. Groundwater, 30(4), 607-612.
6. Sawyer, C. S. and Ahlfeld, D. P. (1992). A mixed-integer model for minimum cost of remediating a multi-layer aquifer. In: Russell, T. F., et al. (Eds.), In Computational Methods in Water Resources: Numerical Methods in Water Resources. Elsevier Science, New York, pp. 353-360.
7. Sawyer, C. S. and Ahlfeld, D. P. (1995). Groundwater remediation design using a three-dimensional simulation model and mixed-integer programming. Water Resour. Res., 31(5), 1373-1385.
8. Sawyer, C. S. and Lin, Y.-F. (1998). Mixed-integer chance-constrained models for groundwater remediation. Journal of Water Resources Planning and Management, ASCE, 124(5), 285-294.
9. Yeh, W. W.-G. (1992). System analysis in groundwater planning and management. Journal of Water Resources Planning and Management, ASCE, 118(3), 224-237.
10. Basagaoglu, H. and Yazicigil, H. (1994). Multiaquifer systems. Journal of Water Resources Planning and Management, ASCE, 120(6), 836-856.
11. Gorelick, S. M. (1983). A review of distributed parameter groundwater management modeling methods. Water Resour. Res., 19(2), 305-319.
12. Willis, R. L. and Yeh, W. W.-G. (1987). Groundwater Systems Planning and Management. Prentice-Hall, Englewood Cliffs, N.J.
13. Wagner, B. J. (1995). Recent advances in simulation-optimization groundwater management modeling. Rev. Geophys., Supplement, U.S. Natl. Rep. Int. Union Good. Geophys., 1991 1994, Rev. Geophys., 33, 1021-1028.
14. Maddock, T., III (1972). Algebraic technological function from a simulation model. Water Resour. Res., 8(1), 129-134.
15. McKinney, D. C. and Lin, M.-D. (1994). Genetic algorithm solution of groundwater management models. Water Resour. Res., 30(6), 1897-1906.
16. Karatzas, G. P. and Pinder, G. F. (1993). Groundwater management using numerical simulation and the outer approximation method for global optimization. Water Resour. Res., 29(10), 3371-3378.
17. Murtagh, B. A. and Saunders, M. A. (1993). Minos 5.4 user's guide. Tech. Rep. SOL 83-20R. Sys. Optimization Lab., Dept of Operations Res., Stanford University, Stanford, CA.
18. Viswanathan, J. and Grossmann, I. E. (1990). A combined penalty function and outer-approximation method for MINLP optimization. Comp. and Chemical Engng., 14(7), 769-782.
19. Brooke, A., Kendrick, D., Meeraus, A. and Ramesh, R. (1998). GAMS: A User's Guide, release 2.5. GAMS Development Corporation, Washington.
20. [20] Kirkpatrick, S., Gelatt, C. and Vecchi, M. (1983). Optimization by simulated annealing. Science, 220(4598), 671-680.
21. Aarts, E. and Korst, J. (1989). Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing. John Wiley & Sons, Chichester, England.
22. Reeves, C. (Ed.) (1990). Modern Heuristic Techniques for Combinatorial Problems. John Wiley & Sons, Chichester, England.
23. Aarts, E. H., Korst, J. H. and Van Laarhoven, P. J. (1997). In: Aarts, E. and Lenstra, J. K. (Eds.), Simulated Annealing, in Local Search in Combinatorial Optimization. John Wiley & Sons, pp. 91-120.
24. Cunha, M. C. (1999). On solving aquifer management problems with simulated annealing algorithms. Water Resources Management (International Journal of the European Water Resources Association), 13(3), 153-169.
25. Cunha, M. C. and Sousa, J. (1999). Water distribution network design optimization: A simulated annealing approach. Journal of Water Resources Planning and Management, ASCE, 125(4), 215-221.
26. Cunha, M. C. and Sousa, J. (2001). Hydraulic infrastructures design using simulated annealing. Journal of Infrastructure Systems, ASCE, 7(1), 32-39.
27. Sousa, J., Ribeiro, A., Cunha, M. C. and Antunes, A. (2002). An optimization approach to wastewater systems planning at regional level. Journal of Hydroinformatics, 4(2), 115-123.
28. Migliari, E. and Lobo-Ferreira, J. P. (1997). Groundwater optimal management - A literature review and an application to Palmela water supply system. Relatório GIAS, 215/97.
29. Oliveira, M., Moinante, M. J. and Lobo-Ferreira, J. P. (1994). Estudo de caractefização dos aquíferos e dos consumos de água na península de Setúbal. Relatório GIAS, 37/94.
30. Lobo-Ferreira, J. P. and Migliari, E. (2001). Contribuição para uma gestão optimizada das águas subterrâneas: fundamentos e aplicação a um caso de estudo em Portugal. Recursos Hidricos, 22(2), 101-120.