Implementation Strategies for Salinity Projects
Publication: Journal of Water Resources Planning and Management
Volume 115, Issue 5
Abstract
The U.S. Bureau of Reclamation has the responsibility for developing implementation strategies for salinity control projects in the Colorado River Basin. Determining when and which projects should be built depends primarily upon the planning and construction funds available at various times during the program period and other considerations. The paper describes the development of a methodology that is used by Reclamation for analyzing implementation strategies for salinity control projects in the Colorado River Basin. The methodology uses a variant of the more traditional dynamic programming formulations of the capacity expansion problem which allows total project costs to be used as the state variable. Objective‐space dynamic programming was used to efficiently develop multiple solutions for a range of possible funding levels for the life of the program. The solutions allow the evaluation of the sensitivity and effects of various funding scenarios on the overall salinity control program. Examples of the information developed by the methodology and the types of sensitivity analysis that can be conducted are presented.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Becker, L., and Yeh, W. W.‐G. (1974). “Optimal timing, sequencing, and sizing of multiple reservoir surface water supply facilities.” Water Resour. Res., 10(1), 57–62.
2.
Braga, B. P. F., et al. (1985). “Capacity expansion of Sao Paulo water supply.” J. Water Resour. Plng. and Mgmt., ASCE, 111(2), 238–252.
3.
Colorado River Water Quality Office (1983). “A preliminary evaluation of the ongoing salinity control and related programs in the Colorado River basin.” U.S. Bureau of Reclamation, Denver, Colo., May.
4.
Colorado River Water Quality Office (1985). “Evaluation of salinity control programs in the Colorado River basin.” U.S. Bureau of Reclamation, Denver, Colo., Nov.
5.
Colorado River Water Quality Office (1987). “Joint evaluation of salinity control programs in the Colorado River basin.” U.S. Bureau of Reclamation, Denver, Colo., Dec.
6.
Erlenkotter, D. (1975). Comment on “Optimal timing, sequencing, and sizing of multiple reservoir surface water supply facilities” by Becker, L. and Yeh, W. W. G., Water Resour. Res., 11(2), 380–381.
7.
Erlenkotter, D., and Scherer, C. R. (1976). “Investment planning for Colorado River salinity control.” Colorado River Basin Modeling Studies, Utah Water Research Laboratory, Utah State Univ., Logan, Utah, Mar., 71–85.
8.
Evans, R. G. et al. (1981). “Optimizing salinity control strategies for the Upper Colorado River Basin.” AER80‐81RGE‐WRW‐GVS1, Dept. of Agricultural and Chemical Engrg., Colorado State Univ., Fort Collins, Colo., Jan.
9.
Fontane, D. G., Labadie, J. W., and Loftis, B. (1981). “Optimal control of reservoir discharge quality through selective withdrawal.” Water Resour. Res., 17(6), 1594–1604.
10.
Fontane, D. G. et al. (1984). “Implementation strategies for salinity control projects in the Colorado River basin.” Technical Report 85001, Inst. of Computational Studies, Colorado State Univ., Fort Collins, Colo., Oct.
11.
Ford, D. T. (1986). “Dredged‐material disposal system capacity expansion.” J. Water Resour. Plng. and Mgmt., ASCE, 112(2), 277–291.
12.
Labadie, J. W. (1987). “Dynamic programming with the microcomputer.” Encyclopedia of microcomputers, A. Kent and J. Williams, eds., Marcel Dekker, Inc., New York, N.Y.
13.
Labadie, J. W., and Fontane, D. G. (1986). “Objective‐space dynamic programming approach to multidimensional problems in water resources.” Proc. of the Bellman Continuum—Special NSF Workshop on Dynamic Programming and Water Resources, A. O. Esogbue, ed., Georgia Inst. of Technology, Atlanta, Ga., June 25–27.
14.
Labadie, J. W., Fontane, D. G., and Horsey, H. R. (1984). “Experiences with generalized dynamic programming software.” ORSA/TIMS Joint National meeting, San Francisco, Calif., May.
15.
Martin, Q. W. (1987). “Hierarchical algorithm for water supply expansion.” J. Water Resour. Plng. and Mgmt., ASCE, 113(5), 677–695.
16.
Morin, T. L. (1973). “Pathology of a dynamic programming sequencing algorithm.” Water Resour. Res., 9(5), 1178–1185.
17.
Morin, T. L. (1978). “Computational advances in dynamic programming.” Dynamic programming and its applications, M. L. Puterman, ed., Academic Press, San Diego, Calif.
18.
Morin, T. L., and Esogbue, A. M. O. (1974). “Some efficient dynamic programming algorithms for the optimal sequencing and scheduling problems occurring in capital expenditure planning.” Water Resour. Res., 7(3), 49–56.
19.
Nakashima, M., Wenzel, H. G., Jr., and Brill, E. D., Jr. (1986). “Water supply system models with capacity expansion.” J. Water Resour. Plng. and Mgmt., ASCE, 112(1), 87–103.
Information & Authors
Information
Published In
Copyright
Copyright © 1989 ASCE.
History
Published online: Sep 1, 1989
Published in print: Sep 1989
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.