Multiobjective Optimization for Sustainable Groundwater Management in Semiarid Regions
Publication: Journal of Water Resources Planning and Management
Volume 130, Issue 6
Abstract
Increasing demands for water by competing users in semiarid regions pose new challenges for water resources managers. Decision makers must understand the interactions between surface water, groundwater, and the environmental system. Additionally, the decisions made with regard to water transfer and allocation must take into consideration the diverse objectives that include water supply, cost efficiency, and ecosystem protection. The work presented herein demonstrates the use of groundwater simulation and optimization to construct a decision support system (DSS) for solving a groundwater management problem associated with the Upper San Pedro River Basin, located in southeastern Arizona. The case is treated as a multiobjective optimization problem in which environmental objectives are explicitly considered by minimizing the magnitude and extent of drawdown within a prespecified region. The approach adopted uses the constraint method to derive the tradeoffs among three competing objectives. Once the proposed algorithm identifies a set of efficient solutions (alternatives), concepts borrowed from fuzzy set theory are applied to rank the alternatives and to assist decision makers in selecting a suitable policy among them, each of which is optimum with regard to its goal and the corresponding consequences.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Ahlfeld, D. P., and Heidari, M. (1994). “Applications of optimal hydraulic control to groundwater systems.” J. Water Resour. Plan. Manage., 120(3), 350–365.
2.
Becker, L., and Yeh, W. W.-G. (1972). “Identification of parameters in unsteady open-channel flows.” Water Resour. Res., 8(4), 956–965.
3.
Cai, X. M., Lasdon, L., and Michelsen, A. M. (2004). “Group decision making in water resources planning using multiple objective analysis.” J. Water Resour. Plan. Manage., 130(1), 4–14.
4.
Cohon, J.L. (1978). Multiobjective programming and planning, Academic, New York.
5.
Densham, P.J. (1991). “Spatial decision support systems.” Geographical information systems: Principles and applications, D. J. Maguire, M. F. Goodchild, and D. W. Rhind, eds., Longman, Burnt Mill, U.K., 403–412.
6.
Elmagnouni, S., and Treichel, W. (1994). “A multicriterion approach to groundwater management.” Water Resour. Res., 30(6), 1881–1895.
7.
Goode, T., and Maddock, T. (2000). “Simulation of groundwater conditions in the Upper San Pedro Basin for the evaluation of alternative futures.” Arizona Research Laboratory for Riparian Studies. The Univ. of Arizona, Ariz.
8.
Harbaugh, A.W., Banta, E.R., Hill, M.C., and McDonald, M.G. (2000). “MODFLOW-2000, the U.S. Geological Survey modular ground-water model.” Report No. 00-92, U.S. Geological Survey, Denver.
9.
Hill, M.C., Banta, E.R., Harbaugh, A.W., and Anderman, E.R. (2000). “MODFLOW-2000, the U.S. Geological Survey modular ground-water model—User guide to the observation, sensitivity, and parameter-estimation processes and three postprocessing programs.” Rep. No. 00-184, U.S. Geological Survey, Denver.
10.
Hsiao, C. T., and Chang, L. C. (2002). “Dynamic optimal groundwater management with inclusion of fixed costs.” J. Water Resour. Plan. Manage., 128(1), 57–65.
11.
Hsu, N. S., and Yeh, W. W. G. (1989). “Optimum experimental design for parameter identification in groundwater hydrology.” Water Resour. Res., 25(5), 1025–1040.
12.
Kingsolver, B. (2000). “San Pedro River.” National Geographic Magazine.
13.
Louie, P. W. F., Yeh, W. W. G., and Hsu, N. S. (1984). “Multiobjective water resources management planning.” J. Water Resour. Plan. Manage., 110(1), 39–56.
14.
Prudic, D.E. (1989). “Documentation of a computer program to simulate stream-aquifer relations using a modular, finite-difference ground-water flow model.” Rep. No. 88-729, U.S. Geological Survey, Denver.
15.
Ritzel, B. J., Eheart, J. W., and Ranjithan, S. (1994). “Using genetic algorithms to solve a multiple-objective groundwater pollution containment problem.” Water Resour. Res., 30(5), 1589–1603.
16.
Roy, R., Parmee, I. C., and Purchase, G., “Qualitative evaluation of engineering designs using fuzzy logic.” ASME Design Engineering Technical Conferences and Computers in Engineering Conference 96-DETC/DAC-1449, Irvine, Calif.
17.
Shafike, N. G., Duckstein, L., and Maddock, T. (1992). “Multicriterion analysis of groundwater contamination management.” Water Resour. Bull., 28(1), 33–43.
18.
Task Committee on Sustainability Criteria, Water Resources Planning, and Management Division, ASCE and the Working Group of UNESCO/IHP IV. (1998). “Sustainability criteria for water resource systems.” American Society of Civil Engineers, Reston, Va.
19.
Thiessen, E. M., and Loucks, D. P. (1992). “Computer-assisted negotiation of multiobjective water-resources conflicts.” Water Resour. Bull., 28(1), 163–177.
20.
USGS. (1999). “Hydrogeologic investigations of the Sierra Vista subwatershed of the Upper San Pedro Basin, Cochise County, Southeast Arizona.” Rep. No. 99-4197, U.S. Geological Survey, Denver.
21.
USPP. (2003). “A Working Water Conservation Plan.” Upper San Pedro Partnership, San Pedro, Ariz.
22.
Watkins, D. W., and McKinney, D. C. (1997). “Finding robust solutions to water resources problems.” J. Water Resour. Plan. Manage., 123(1), 49–58.
23.
Yager, R. R. (1988). “On ordered weighted averaging aggregation operators in multicriteria decision making.” IEEE Trans. Syst. Man Cybern., 18(1), 183–190.
24.
Yeh, W. W. G. (1986). “Review of parameter-identification procedures in groundwater hydrology—The inverse problem.” Water Resour. Res., 22(2), 95–108.
25.
Zadeh, L. A. (1965). “Fuzzy sets.” Inf. Control., 8(3), 338–353.
Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 130 • Issue 6 • November 2004
Pages: 490 - 497
Copyright
Copyright © 2004 ASCE.
History
Published online: Oct 15, 2004
Published in print: Nov 2004
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.