Your search found 555 records
1 Khaliquzzaman; Chander, S. 1997. Network flow programming model for multireservoir sizing. Journal of Water Resources Planning and Management, 123(1):15-22.
(Location: IWMI-HQ Call no: PER Record No: H019689)
2 Watkins, D. W.; McKinney, D. C. 1997. Finding robust solutions to water resources problems. Journal of Water Resources Planning and Management, 123(1):49-58.
Water resource management ; Decision making ; Optimization ; Mathematical models ; Water transfer ; Planning ; Stochastic process ; Groundwater management ; Water quality
(Location: IWMI-HQ Call no: PER Record No: H019692)
3 Reddy, J. M.; Clyma, W. 1984. Irrigation system improvement by simulation and optimization. Cairo, Egypt: Egypt Water Use and Management Project. 2 vols.; iv, 26p.; v, 35p. (EWUP technical report no.16; no.16B)
Simulation ; Optimization ; Mathematical models ; Canal linings ; Irrigation efficiency ; Benefits ; Water conveyance / Pakistan
(Location: IWMI-HQ Call no: 631.7.1 G730 RED Record No: H0159)
Vol. 1 - Theory. A theory for simulation and optimization of an irrigation system to evaluate improvement alternatives was presented. The mathematical simulation model of an irrigation system was developed combining existing models of conveyance, application and water use subsystems. The performance of the subsystem simulation models was verified using available field data from Pakistan. A methodology for the optimal design of a level basin irrigation system was described. Irrigation system improvement alternatives such as canal lining, earthen improvement of the application system were evaluated. Vol. 2 - Application. Wheat production on a watercourse in Pakistan was analyzed. Models for water conveyance, application, and water use subsystems were calibrated with data from the study area. The existing irrigation system operated at a 39 percent application efficiency and 53 percent conveyance efficiency. Optimal design of the application system with precision land leveling provided net benefits of 3625 rupees (Rs) compared to Rs 2612 under traditional field conditions. Canal lining was not economical. Earthen improvement of the conveyance system was beneficial to the farmer with a net profit of Rs 3304. Combined improvement of the application and conveyance systems almost doubled the total net benefits over the traditional system, but with an increased level of investment. The increase in benefits was mostly a result of the increased irrigated area that could be irrigated after the improvements. The benefit/cost ratio of each improvement alternative was different. The difference in benefits between improving the conveyance system and the application system was small, but there was a significant difference in net benefits between any single improvement and the combined improvement of the application and conveyance systems.
4 Khanjani, M. J. 1980. Methodology for optimization of an irrigation system with storage reservoirs. xiii, 313p.
Irrigation systems ; Reservoirs ; Optimization ; Cost benefit analysis ; Probability analysis ; Economic analysis ; Computer software ; Water requirements ; Mathematical models ; Water distribution ; Evapotranspiration ; Rehabilitation
(Location: IWMI-HQ Call no: 631.7.1 G000 KHA Record No: H0886)
A procedure was developed to specify optimal plans for an irrigation system with temporary internal storage. The procedure was used to develop plans for 1865 ha using farm service reservoirs. Daily potential and actual evapotranspiration for 25 years were computed. Probability distributions of potential and actual evapotranspiration for 1-30 days duration were estimated. A log-normal probability distribution was found to best fit the data, and probability equations for different durations were computed. These distributions were used to determine possible irrigation intervals for different crops growing in different soil types. Costs of different types of irrigation subsystem components such as canal sections, farm service reservoirs, pumps, and sprinkler and gravity application subsystems were computed. A marginal cost and benefit analysis was used to select the best irrigation intervals for all soil-crop combinations. The time of occurrence of maximum evapotranspiration for each crop was analyzed and found to follow a log-normal distribution. Water-use information was used to compute the volume of interval storage needed within the system. Fifteen farm service reservoirs were located at 15 specified sites by considering physical conditions and other restrictions. Costs and design capacities of farm service reservoirs and canal sections of the system were computed. By utilizing a mixed integer programming model, the locations of farm service reservoirs were optimized; and seven of the original 15 farm service reservoir sites were selected. A linear programming model was then used to compute the optimum capacity of each farm service reservoir, and parametric programming was used to examine the effects of varying water costs of system configuration. The cost and design capacity of the irrigation system with seven farm service reservoirs was computed.
5 Stewart, J. I. 1980. Planning and managing irrigation projects for optimal water use efficiency. In S. S. Johl and C. de Clerqi, Irrigation and agricultural development (pp.147-160). Oxford, UK.: Pergamon Press.
Irrigation efficiency ; Optimization ; Planning ; Irrigation management ; Water use efficiency ; Irrigated farming ; Crop yield
(Location: IWMI-HQ Call no: 631.7.2 G000 STE Record No: H0909)
6 Uphoff, N.; Wickramasinghe, M. L.; Wijayaratna, C. M. 1990. "Optimum" participation in irrigation management: Issues and evidence from Sri Lanka. Human Organization, 49(1):26-40.
Optimization ; Water management ; Farmer participation ; Cost benefit analysis ; Water user associations ; Irrigation management / Sri Lanka / Gal Oya Project
(Location: IWMI-SA Call no: P 441 Record No: H01004)
7 Rao, G. V. V.; Williams, T. T. 1975. Sequential optimization of multiple non-monetary objectives in integrated operation of reservoir systems. Reprinted from Proceedings of Second World Congress, International Water Resources Association, New Delhi, India, 1975. 11 p.
(Location: IWMI-HQ Call no: 631.7.1 G458 RAO Record No: H01380)
8 Yeh, W. W. G. 1985. Reservoir management and operations models: A state-of-the-art review. Water Resources Research, 21(12):1791-1818.
(Location: IWMI-HQ Call no: P 1185 Record No: H01440)
The objective of this paper is to review the state-of-the-art of mathematical models developed for reservoir operations, including simulation. Algorithms and methods surveyed include linear programming (LP), dynamic programming (DP), nonlinear programming (NLP), and simulation. A general overview is first presented. The historical development of each key model is critically reviewed. Conclusions and recommendations for future research are presented.
9 Liu, Z. 1984. Optimization of irrigation systems in mountainous and hilly areas. Unpublished manuscript. 18p.
Agricultural development ; Irrigation systems ; Irrigation canals ; Water storage ; Water distribution ; Optimization / China
(Location: IWMI-HQ Call no: P 140 Record No: H02599)
10 Hintz, L. P. 1985. Optimization of irrigation distribution system operation. In Keyes, C. G. Jr., Ward, T. J., Development and management aspects of irrigation and drainage systems: Proceedings of the speciality conference, San Antonio, Texas. New York, NY, USA: ASCE. pp.269-276.
(Location: IWMI-HQ Call no: 631.7.8 G000 KEY Record No: H02843)
11 Samani, H. M. V.; Naeeni, S. T. O. 1997. Optimization of water distribution networks. Water Resources Journal, 195:39-44.
(Location: IWMI-HQ Call no: PER Record No: H022012)
12 Miller, K. A. 1987. The right to use versus the right to sell: Spillover effects and constraints on the water rights of irrigation organization members. Water Resources Research, 23(12):2166-2174.
(Location: IWMI-HQ Call no: PER Record No: H03194)
13 Reichard, E. G. 1987. Hydrologic influences on the potential benefits of basinwide groundwater management. Water Resources Research, 23(1):77-91.
Groundwater management ; Agriculture ; Stochastic process ; Hydraulics ; Basin irrigation ; Mathematical models ; Optimization ; Water use efficiency ; Reservoir storage ; Benefits
(Location: IWMI-HQ Call no: PER Record No: H03192)
14 Wagner, B. J.; Gorelick, S. M. 1987. Optional groundwater quality management under parameter uncertainty. Water Resources Research, 23(7):1162-1174.
Groundwater management ; Water quality ; Hydrology ; Regression analysis ; Uncertainty ; Optimization ; Simulation models
(Location: IWMI-HQ Call no: PER Record No: H03198)
15 Schoney, R. A.; Massie, L. R.; Bay, T. F. 1981. Optimizing irrigation management of travelling guns. In American Society of Agricultural Engineers, Irrigation scheduling for water and energy conservation in the 80's. St. Joseph, MI, USA: ASAE. pp.54-60. (ASAE publication 23-81)
(Location: IWMI-HQ Call no: 631.7.1 G000 AME Record No: H03375)
16 Sundar, A. 1981. Dynamic programming - DP 1 to 6. Paper presented at International Workshop on Systems Analysis of Problems in Irrigation, Drainage and Flood Control, preparatory course, New Delhi. 18p.
(Location: IWMI-HQ Call no: 519.7 G000 SUN Record No: H03476)
17 Yazicigil, H.; Rasheeduddin, M. 1987. Optimization model for groundwater management in multi-aquifer system. Journal of Water Resources Planning and Management, 113(2):257-273.
Groundwater management ; Aquifers ; Optimization ; Simulation models ; Gravity flow ; Economic aspects ; Legal aspects ; Constraints ; Policy
(Location: IWMI-HQ Call no: PER Record No: H03661)
18 Ch rez-Morales, J.; Mari¤o, M. A.; Holzapfel, E. A. 1987. Planning model of irrigation. Journal of Irrigation and Drainage Engineering, 113(4):549-564.
Models ; Water demand ; Optimization ; Irrigation management ; Planning ; Reservoirs ; Water conveyance ; Irrigation canals ; Water storage ; Aquifers ; Water requirements ; Resource management
(Location: IWMI-HQ Call no: PER Record No: H03673)
19 Dudley, N. J. 1988. A single decision maker approach to irrigation reservoir and farm management decision making. Water Resources Research, 24(5):633-640.
Simulation models ; River basins ; Surface water ; Farm management ; Administration ; Economic impact ; Optimization ; Irrigation management ; Decision making
(Location: IWMI-HQ Call no: PER Record No: H03711)
20 Lindner, W.; Lindner, K.; Karadi, G. 1988. Optimal groundwater management in two-aquifer systems. Water Resource Bulletin, 24(1):27-33.
Groundwater management ; Aquifers ; Mathematical models ; Simulation ; Flow ; Optimization ; Hydraulics
(Location: IWMI-HQ Call no: PER Record No: H03699)
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