Saltwater intrusion management of coastal aquifers. II: Operation uncertainty and monitoring

Journal of Hydrologic Engineering

Volumn 14, Issue 12, 2009, Pages 1273-1282

  Dhar, Anirban ^a   Datta, Bithin ^b,c  

^a INDIAN INSTITUTE OF TECHNOLOGY   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

^c JAMES COOK UNIVERSITY   (Australia)

Author keywords

Aquifers; Coastal environment; Monitoring; Otimization; Salt water intrusion; Simulation models; Uncertainty principles

Indexed keywords

COASTAL AQUIFERS; COASTAL ENVIRONMENT; COASTAL ENVIRONMENTS; COMPLIANCE MONITORING; FIELD IMPLEMENTATION; FIELD LEVEL; FIELD SCALE; MANAGEMENT FRAMEWORKS; MANAGEMENT GOALS; MANAGEMENT MODEL; MANAGEMENT STRATEGIES; MONITORING NETWORK; MULTIPLE OBJECTIVES; OPTIMAL MANAGEMENT; OPTIMAL MANAGEMENT STRATEGY; OPTIMAL STRATEGIES; PERFORMANCE EVALUATION; RISK-BASED MANAGEMENTS; ROBUST MONITORING; ROBUST OPTIMAL DESIGN; SIMULATION MODEL; STUDY AREAS; UNCERTAINTY PRINCIPLES;

AQUIFERS; HYDROGEOLOGY; MANAGEMENT; MONITORING; OPTIMAL SYSTEMS; OPTIMIZATION; SIMULATORS; STRATEGIC PLANNING;

SALT WATER INTRUSION;

COASTAL AQUIFER; COMPUTER SIMULATION; ENVIRONMENTAL MONITORING; MULTIOBJECTIVE PROGRAMMING; NUMERICAL MODEL; SALINE INTRUSION; UNCERTAINTY ANALYSIS;

EID: 70549093952     PISSN: 10840699     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)HE.1943-5584.0000155     Document Type: Article

References (21)

1. Aly, A. H., and Peralta, R. C. (1999). "Optimal design of aquifer cleanup systems under uncertainty using a neural network and a genetic algorithm." Water Resour. Res. WRERAQ0043-1397, 35(8), 2523-2532. 10.1029/98WR02368
2. Branke, J. (2002). Evolutionary optimization in dynamic environments, Kluwer Academic, Boston.
3. Deb, K. (2001). Multi-objective optimization using evolutionary algorithms, Wiley, New York.
4. Deb, K., and Gupta, H. (2004). "Introducing robustness in multi-objective optimization." KanGAL Rep. No. 2004016, Indian Institute of Technology Kanpur, Kanpur, India.
5. Deb, K., and Gupta, H. (2005). "A constraint handling strategy for robust multi-criterion optimization." KanGAL Rep. No. 2005001, Indian Institute of Technology Kanpur, Kanpur, India.
6. Dhar, A. (2007). "Optimal management and monitoring of coastal aquifers and other contaminated aquifers." Ph.D. thesis, Indian Institute of Technology Kanpur, Kanpur, India.
7. Dhar, A., and Datta, B. (2009). "Saltwater intrusion management of coastal aquifers. I: Linked simulation-optimization." J. Hydrol. Eng. JHYEFF1084-0699, 14.
8. Freeze, R. A., and Gorelick, S. M. (1999). "Convergence of stochastic optimization and decision analysis in engineering design of aquifer remediation." Ground Water GRWAAP0017-467X, 37(6), 934-954. 10.1111/j.1745-6584.1999.tb01193.x
9. Gunawan, S., and Azarm, S. (2005). "Multi-objective robust optimization using a sensitivity region concept." Struct. Multidiscip. Optim. ZZZZZZ1615-147X, 29(1), 50-60. 10.1007/ s00158-004-0450-8
10. ILOG CPLEX 7.0 user's manual. (2000). ILOG SA.
11. Jin, Y., and Sendhoff, B. (2003). "Trade-off between performance and robustness: An evolutionary multiobjective approach." Lect. Notes Comput. Sci. LNCSD90302-9743, 2632, 237-251. 10.1007/ 3-540-36970-8_17
12. Kalwij, I. M., and Peralta, R. C. (2006). "Simulation/optimization modeling for robust pumping strategy design." Ground Water GRWAAP0017-467X, 44(4), 574-582. 10.1111/j.1745-6584.2006.00176.x
13. Loucks, D. P., and van Beek, E. (2005). Water resources systems planning and management: An introduction to methods, models and applications, UNESCO Publishing, Delft Hydraulics, The Netherlands.
14. McKay, M. D., Conover, W. J., and Beckman, R. J. (1979). "A comparison of three methods for selecting values of input variables in the analysis of output from a computer code." Technometrics TCMTA20040-1706, 21, 239-245. 10.2307/1268522
15. Olvander, J. (2005). "Robustness considerations in multi-objective optimal design." J. Eng. Design ZZZZZZ0954-4828, 16(5), 511-523. 10.1080/09544820500287300
16. Paenke, I., Branke, J., and Jin, Y. (2006). "Efficient search for robust solutions by means of evolutionary algorithms and fitness approximation." IEEE Trans. Evol. comput. itevf51089-778x, 10(4), 405-420. 10.1109/TEVC.2005.859465
17. Ray, T. (2002). "Constrained robust optimal design using a multiobjective evolutionary algorithm." IEEE World Congress on Computational Intelligence, Congress on Evolutionary Computating (CEC 2002), Hawaii, 419-424.
18. Ricciardi, K. L., Pinder, G. F., and Karatzas, G. P. (2007). "Efficient groundwater remediation system design subject to uncertainty using robust optimization." J. Water Resour. Plann. Manage. JWRMD50733-9496, 133(3), 253-263. 10.1061/ (ASCE)0733-9496(2007)133:3(253)
19. Shimoyama, K., Oyama, A., and Fujii, K. (2005). "A new efficient and useful robust optimization approach-design for multi-objective six sigma." Proc., 2005 IEEE Congress on Evolutionary Computation (CEC'2005), Vol. 1, Edinburgh, Scotland, 950-957.
20. Smalley, J. B., Minsker, B. S., and Goldberg, D. E. (2000). "Risk based in situ bioremediation design using a noisy genetic algorithm." Water Resour. Res. WRERAQ0043-1397, 36(10), 3043-3052. 10.1029/2000WR900191
21. Wagner, B. J. (1999). "Evaluating data worth for ground-water management under uncertainty." J. Water Resour. Plann. Manage. JWRMD50733-9496, 125(5), 281-288. 10.1061/(ASCE)0733-9496(1999)125:5(281)