TECHNICAL PAPERS
Sep 1, 1989

Improving Water Delivery System Operation Using Training Simulators

Publication: Journal of Water Resources Planning and Management
Volume 115, Issue 5

Abstract

The use of graphical‐display training simulators is presented as a means of enhancing efficiency in operating multi‐reservoir water delivery systems. Water delivery systems of this type include municipal water supply systems and irrigation water delivery systems (ditch companies). As a stand‐alone tool, the training simulator can improve human operational performance. However, a coupling of human operational capabilities and mathematical programming techniques may also be beneficial. The mathematical programming technique called aggregate state dynamic programming (ASDP) explicitly draws upon the knowledge base of the system operator. Augmentation of that knowledge base is possible through the use of graphical‐display training simulators to obtain improved operating rules for spatial allocation of water. The dynamic programming component of ASDP handles the temporal allocation. A case study is presented to display the application of the procedure and to provide direct comparisons against human operational performance.

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References

1.
Clemmens, A. J. (1987). “Delivery system schedules and required capacities.” Proc. of the ASCE Irrigation and Drainage Division Specialty Conference, Portland, Oreg., July, 18–34.
2.
Cunningham, D. E., and Amend, F. (1985). “Interactive simulation of water resource systems.” Proc. of the ASCE Water Resources Planning and Management Division Specialty Conference on Computer Applications in Water Resources, Buffalo, N.Y., June.
3.
Eckhardt, J. R. (1986). “The windy gap project SCADA system.” J. Water Res. Plng. and Mgmt., ASCE, 112(3), 366–381.
4.
Fontane, D. G., Labadie, J. W., and Loftis, B. (1981). “Optimal control of reservoir discharge quality through selective withdrawal.” Water Res. Research, 17(6), 1594–1604.
5.
Fontane, D. G., et al. (1984). “Implementation strategies for salinity control projects in the Colorado River basin.” ICS Technical Report No. 85001, presented at the ASCE Annual Convention, San Francisco, Calif.
6.
Foufoula‐Georgiou, E., and Kitanidis, P. K. (1988). “Gradient dynamic programming for stochastic optimal control of multidimensional water resources systems.” Water Res. Research, 24(8), 1345–1359.
7.
Georgakakos, A. P., and Marks, D. H. (1987). “A new method for the real‐time operations of reservoir system.” Water Res. Research, 23(7), 1376–1390.
8.
Houghtalen, R. J., Loftis, J. C., and Fontane, D. G. (1987). “Delivery system management via dynamic programming.” Proc. of the ASCE Irrigation and Drainage Division Specialty Conference, Portland, Ore., July.
9.
Houghtalen, R. J., and Loftis, J. C. (1988). “Irrigation water delivery system operation via aggregate state dynamic programming.” Water Res. Bull., 24(2), Apr., 427–434.
10.
Houghtalen, R. J. (1988). “Aggregate state dynamic programming: a multi‐reservoir operational technique,” thesis presented to Colorado State University, at Fort Collins, Colo., in partial fulfillment of the requirements for the degree of Doctor of Philosophy.
11.
Johnson, L. E. (1986). “Water resource management decision support systems.” J. Water Res. Plng. and Mgmt., ASCE, 112(3), 308–325.
12.
Labadie, J. W., and Shafer, J. M. (1988). “Documentation for program CSUDP: generalized dynamic programming code.” Department of Civil Engineering, Colorado State University, Fort Collins, Colo.
13.
Labadie, J. W., and Sullivan, C. H. (1986). “Computerized decision support systems for water managers.” J. Water Res. Plng. and Mgmt., ASCE, 112(3), 299–307.
14.
Loftis, J. C., and Stillwater, L. C. (1986). “Optimization of water distribution by irrigation ditch companies.” Paper No. 86‐2077, presented at the Summer Meeting of ASAE, San Luis Obispo, Calif.
15.
Loftis, J. C., and Houghtalen, R. J. (1987). “Optimizing temporal water allocation by irrigation ditch companies.” Transactions of the ASAE, 30(4), 1075–1082.
16.
Marino, M. A., and Loaiciga, H. A. (1985). “Dynamic model for multireservoir operation.” Water Res. Research, 21(5), 619–630.
17.
Papageorgiou, M. (1985). “Optimal multireservoir network control by the discrete maximum principle.” Water Res. Research, 21(12), 1824–1830.
18.
Tai, F. K., and Goulter, I. C. (1987). “A stochastic dynamic programming based approach to the operation of a multi‐reservoir system.” Water Res. Bull., 23(3), 371–377.
19.
Torno, H. C. (1985). “Computer applications in water resources.” Proc. of the ASCE Water Resources Planning and Management Division Specialty Conference, Buffalo, N.Y.
20.
Trezos, T., and Yeh, W. W.‐G. (1987). “Use of stochastic dynamic programming for reservoir management.” Water Res. Research, 23(6), 983–996.
21.
Weiner, D. (1987). “Periodic optimal control with application to pumped storage plants.” Water Res. Research, 23(4), 535–541.
22.
Wurbs, R. A., et al. (1985). “State‐of‐the‐art review and annotated bibliography of systems analysis techniques applied to reservoir operation.” Technical Report #136, Texas Water Resources Institute, June.
23.
Yakowitz, S. (1982). “Dynamic programming applications in water resources.” Water Res. Research, 18(4), 673–696.
24.
Yeh, W. W.‐G. (1985). “Reservoir management and operations models: a state‐of‐the‐art review.” Water Res. Research, 21(12), 1797–1818.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 115Issue 5September 1989
Pages: 616 - 629

History

Published online: Sep 1, 1989
Published in print: Sep 1989

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Authors

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Robert J. Houghtalen, Member, ASCE
Assoc. Prof. of Civ. Engrg., Rose‐Hulman Inst. of Tech., Terre Haute, IN 47803
Jim C. Loftis
Assoc. Prof. of Agr. and Chem. Engrg., Colorado State Univ., Fort Collins, CO 80523

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