Conjunctive‐Use Planning in Mad River Basin, California
Publication: Journal of Water Resources Planning and Management
Volume 118, Issue 2
Abstract
A conjuctive‐use management model is presented that can be used to develop planning and operational strategies for a river basin. In contrast to previous investigations, the conjunctive‐use model explicitly incorporates (1) The hydraulics of the surface and ground‐water systems; and (2) water‐supply, hydro‐power, and ground‐water cost and benefit objectives. Operational constraints include hydropower production limits, water‐quality constraints on the blended surface water and ground water used to meet the municipal demand, and minimum instream flow needs downstream of the water‐supply abstraction point. The model is applied to the Mad River basin in Northern California. Optimal planning policies are developed for the water resource system. The optimization model is solved using MINOS, a large‐scale, nonlinear programming algorithm. The results indicated that conjunctive‐use management is a viable tool for multiobjective water resources planning problems.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Aron, G. (1969). “Optimization of conjunctively managed surface and ground water resources by dynamic programming.” Contribution No. 129, Water Resour. Ctr., Univ. of California, Davis, Calif.
2.
Bear, J. (1979). Hydraulics of groundwater, McGraw‐Hill, Inc., New York, N.Y.
3.
Becker, L., and Yeh, W. W.‐G. (1972). “Identification of parameters in unsteady open channel flows.” Water Resour. Res., 8(4), 956–965.
4.
Chaturvedi, M. C., and Rogers, P. (1985). Water resources systems planning: Case studies for India., Indian Academy of Sci., Bangalore, India.
5.
Dracup, J. A. (1966). “The optimum use of groundwater and surface‐water systems: A parametric linear programming approach.” Contribution No. 107, Water Resour. Ctr., Univ. of California, Berkeley, Calif.
6.
Haimes, Y. Y., and Dreizin, Y. C. (1977). “Management of groundwater and surface water via decomposition.” Water Resour. Res., 13(1), 69–77.
7.
Hantush, M. M. S., and Marino, M. A. (1989). “Chance‐constrained model for management of stream‐aquifer system.” J. Water Resour. Planning and Mgmt., ASCE, 115(3), 259–277.
8.
Illangasekare, T. H., and Morel‐Seytoux, H. J. (1986). “A discrete kernel simulation model for conjunctive management of a stream‐aquifer system.” J. Hydro., 85(3/4), 319–338.
9.
Louie, P. W. F., Yeh, W. W.‐G., and Hsu, N.‐S. (1984). “Multiobjective water resources management planning.” J. Water Resour. Planning and Mgmt., ASCE, 110(1), 39–56.
10.
Maass, A., Hufschmidt, M. M., Dorfman, R., Thomas, H. A., Jr., Marglin, S. A., and Fair, G. M. (1962). Design of water resource systems. Harvard Univ. Press, Cambridge, Mass.
11.
Maddock, T. III. (1972). “Algebraic technological function from a simulation model,” Water Resour. Res., 18(1), 129–134.
12.
Maddock, T. III. (1973). “Management model as a tool for studying the worth of data.” Water Resour. Res., 9(2), 270–280.
13.
Matsukawa, J. M. (1990). “Optimal conjunctive use management model for the mad river basin,” thesis presented to Humboldt State University, at Areata, California, in partial fulfillment of the requirements for the degree of Doctor of Science.
14.
McDonald, M. G., and Harbaugh, A. W. (1988). “A modular three‐dimensional finite difference ground‐water flow model.” Techniques of water‐resources investigations of the USGS, Book 6, Chapter Al, Scientific Software Group Washington, D.C.
15.
Morel‐Seytoux, H. J. (1975). “A simple case of conjunctive surface—Ground‐water management.” Ground Water, 13(6), 506–515.
16.
Morel‐Seytoux, H. J., Illangasekare, T., Bittinger, M. W., and Evans, N. A. (1980). “Potential use of a stream‐aquifer model for management of a river basin: Case of the South Platte River in Colorado,” Progressive Water Tech., 13(3), 175–187.
17.
Murtagh, B. A., and Saunders, M. A. (1983). “MINOS 5.0 user's guide.” Technical Report SOL 83‐20, Dept. of Operations Res., Stanford Univ., Stanford, Calif.
18.
Noel, J. E., Gardner, B. D., and Moore, C. V. (1980). “Optimal regional conjunctive water management.” American J. Agric. Economics, 62(3), 489–498.
19.
Strecker, E. W. (1983). “Linear optimization model for maximizing power production and minimizing water demand deficits for Ruth Reservoir, California,” thesis presented to Humboldt State University, at Arcata, Calif., in partial fulfillment of the requirements for the degree of Doctor of Science.
20.
Walton, W. C. (1970). Groundwater resource evaluation. McGraw‐Hill, Inc., New York, N.Y.
21.
Willis, R., and Chu, W.‐S. (1984). “An explicit finite difference model for unconfined aquifers,” Ground Water, 22(6), 728–734.
22.
Willis, R., Finney, B. A., and Chu, W.‐S. (1984). “Monte Carlo optimization for reservoir operation.” Water Resour. Res., 20(9), 1177–1182.
23.
Willis, R., and Yeh, W. W.‐G. (1987). Groundwater Systems Planning and Management. Prentice‐Hall, Inc., Englewood Cliffs, N.J.
24.
Young, R. A., and Bredehoeft, J. D. (1972). “Digital computer simulation for solving management problems of conjunctive groundwater and surface water systems.” Water Resour. Res., 8(3), 533–556.
Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 118 • Issue 2 • March 1992
Pages: 115 - 132
Copyright
Copyright © 1992 ASCE.
History
Published online: Mar 1, 1992
Published in print: Mar 1992
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.