Your search found 256 records
1 Abeygunawardena, P. Composite forecasting for real-time planning: case of reservoir operation in Sri Lanka. Paper submitted for publication in Journal of Forecasting. 20p.
(Location: IWMI-HQ Call no: P 176 Record No: H03490)
2 Goldberg, D. 1991. Legal aspects of World Bank policy on project international waterways. International Journal of Water Resources Development, 7(4):225-229.
(Location: IWMI-HQ Call no: PER Record No: H09729)
3 Wurbs, R. A. 1993. Reservoir-system simulation and optimization models. Journal of Water Resources Planning and Management, 119(4):455-472.
(Location: IWMI-HQ Call no: PER Record No: H012863)
4 Jain, S. K.; Yoganarasimhan, G. N.; Seth, S. M. 1992. A risk-based approach for flood control operation of a multipurpose reservoir. Water Resources Bulletin, 28(6):1037-1043.
Reservoir operation ; Flood control ; Water management ; Operating policies ; Simulation analysis ; Performance evaluation
(Location: IWMI-HQ Call no: PER Record No: H013014)
5 Lenton, R. L. Systems simulation studies: Theory and practice. A lecture note. 28p.
Water resource management ; Simulation analysis ; Simulation models ; Reservoir operation ; River basins ; Water supply / Yugoslavia / Greece
(Location: IWMI-HQ Call no: P 2862 Record No: H013182)
6 Lenton, R. L. Computer simulation in water resources planning. A lecture note. 12p.
Water resource management ; Simulation analysis ; Simulation models ; Computer techniques ; Reservoir operation ; River basins / Yugoslavia / Greece
(Location: IWMI-HQ Call no: P 2863 Record No: H013183)
7 Dudley, N. J.; Scott, B. W. 1993. Integrating irrigation water demand, supply, and delivery management in a stochastic environment. Water Resources Research, 29(9):3093-3101.
Water demand ; Water supply ; Water delivery ; Simulation models ; Water storage ; Stochastic process ; Reservoir operation ; Irrigation water ; Water management ; Soil-water-plant relationships / Australia / New South Wales
(Location: IWMI-HQ Call no: PER Record No: H013551)
Previously developed suites of models integrate irrigation water supply and demand management for simplified surface reservoir supply systems. A central stochastic dynamic programming model is supported by simulation models, including a soil water-plant growth model. This modeling is extended herein to include decisions about timing and quantity of reservoir water releases into the delivery system, resulting in the integration of supply, demand, and delivery management. Irrigators have rights to percentages of reservoir capacity, reservoir inflows, and downstream tributary flows. Natural rivers are the supply channels in the study area. Large on-farm water storage exist for storing regulated and unregulated river flows available to the irrigators. Farms can be many days flow from the reservoir, requiring orders for reservoir releases to be lodged before the arrival of a previous order. The probability of unregulated flows from tributaries downstream of the reservoir further complicates ordering decisions. Abandonment of irrigated area to rain-fed status occurs at two levels, forced abandonment if insufficient water is available at the farm when the irrigation-trigger soil water deficit is reached, and planned abandonment to save water for possible later use. The need for forced abandonment is determined by simulation models; planned abandonment decisions are derived by stochastic dynamic programming. Results show annual net revenue means and standard deviations as functions of different capacities of the on-farm storages and water supplies from either regulated or unregulated flows, or both.
8 Vasiliadis, H. V.; Karamouz, M. 1994. Demand-driven operation of reservoirs using uncertainty-based optimal operating policies. Journal of Water Resources Planning and Management, 120(1):101-114.
Reservoir operation ; Stochastic process ; Simulation models ; Operating policies ; Water demand ; Statistical analysis
(Location: IWMI-HQ Call no: PER Record No: H013772)
9 AIT. 1989. Water 30: A commemorative publication on the 30th anniversary of the Division of Water Resources Engineering, Asian Institute of Technology, Bangkok, Thailand, December 1989. Bangkok, Thailand: AIT. v, 370p.
Water resources development ; Hydraulics ; Irrigation engineering ; Documentation ; Research projects ; Research institutes ; Groundwater ; Mathematical models ; Evapotranspiration ; Remote sensing ; Optimization ; Computer software ; Irrigation management ; Reservoir operation / Thailand
(Location: IWMI-HQ Call no: 551.48 G000 AIT Record No: H013782)
10 Rausch, D. L. 1986. Spillway design affects reservoir water quality. In American Society of Agricultural Engineers, Transactions of the ASAE: Special edition - Soil and Water, Vol.29. St. Joseph, MI, USA: ASAE. pp.462-466;472.
(Location: IWMI-HQ Call no: 631.4 G000 AME Record No: H05464)
11 Georgakakos, A. P. 1993. Operational trade-offs in reservoir control. Water Resources Research. 29(11):3801-3819.
Reservoir operation ; Mathematical models ; Optimization ; Decision making ; Case studies ; Rivers ; Computer techniques / USA
(Location: IWMI-HQ Call no: PER Record No: H013966)
12 Zimmerman, J. D. 1966. Irrigation. New York, NY, USA: John Wiley. xvi, 516p.
Irrigation engineering ; Water resources development ; Water use efficiency ; Irrigation management ; Irrigated farming ; Irrigation operation ; Irrigation systems ; Furrow irrigation ; Border irrigation ; Sprinkler irrigation ; Flood irrigation ; Land development ; Irrigation design ; Reservoir operation ; Canals ; Pipes ; Flow measurement ; Irrigation equipment ; Irrigation programs
(Location: IWMI-HQ Call no: 631.7 G000 ZIM Record No: H014030)
13 Malano, H. M.; Boonlue, C.; McMahon, T. A. 1993. Developing an improved operational strategy for the Thup-Salao irrigation system, Thailand. Irrigation and Drainage Systems, 7(3):205-220.
Irrigation operation ; Strategy planning ; Irrigation scheduling ; Simulation models ; Computer techniques ; Monitoring ; Reservoir operation / Thailand
(Location: IWMI-HQ Call no: PER Record No: H012025)
A combined monitoring-modelling analysis of the past operation of the Thup Salao irrigation scheme (Thailand) is performed with a view to developing an improved operational strategy. The IMSOP computer model was used to simulate the operation of the delivery system using monitoring operational data since its commissioning (1988-1991). Temporal deviations of up to 80% are observed between the planned irrigation supply, the requirement irrigation delivery and the actual irrigation delivery in the wet season and up to 20% in the dry season. A real-time rainfall adjustment of the planned delivery scheduling resulted in a substantial improvement in the ability to match crop water demand and use rainfall more effectively. This suggests that a dual scheduling strategy consisting of seasonal (tactical) planning and real-time adjustment is required to improve operational performance.
14 Karbowski, A. 1993. Optimal flood control in multireservoir cascade systems with deterministic inflow forecasts. Water Resources Management, 7(3):207-223.
(Location: IWMI-HQ Call no: PER Record No: H012659)
This article presents the formal analysis of a problem of the optimal flood control in systems of serially connected multiple water reservoirs. It is assumed, that the basic goal is minimization of the peak flow measured at a point (cross-section) located downstream from all reservoirs and that inflows to the system are deterministic. A theorem expressing sufficient conditions of optimality for combinations of releases from the reservoirs is presented together with the relevant proof. The main features of the optimal combinations of controls are thoroughly explained. Afterwards, two methods of determining the optimal releases are presented. Finally, the results of the application of the proposed methodology to a small, four reservoir system are presented.
15 Mujumdar, P. P.; Vedula, S. 1992. Performance evaluation of an irrigation system under some optimal operating policies. Hydrological Sciences Journal, 37(1):13-26.
Reservoir operation ; Performance evaluation ; Simulation ; Crop yield ; Policy ; Indicators ; Irrigation systems / India / Karnataka
(Location: IWMI-HQ Call no: P 3454 Record No: H014585)
16 Vedula, S.; Mohan, S.; Shrestha, V. S. 1986. Improved operating policies for multipurpose use: A case study of Bhadra Reservoir. Sadhana, 9(3):157-176.
Reservoir operation ; Operating policies ; Case studies ; Simulation models ; Optimization ; Hydroelectric schemes / India / Karnataka
(Location: IWMI-HQ Call no: P 3519 Record No: H014708)
17 Vedula, S.; Mohan, S. 1990. Real-time multipurpose reservoir operation: A case study. Hydrological Sciences Journal, 35(4,8):447-462.
Reservoir operation ; Computer models ; Stochastic process ; Operating policies ; Simulation models ; Irrigation ; Hydroelectric schemes ; Case studies / India / Karnataka / Bhadra Project
(Location: IWMI-HQ Call no: P 3525 Record No: H014750)
18 Sreenivasan, K. R.; Vedula, S. 1991. A chance constrained approach to reservoir storage modelling. Paper presented at Seminar on Hydromechanics and Water Resources Engineering, Department of Civil Engineering, Indian Institute of Science, Bangalore, India, 27 December 1991. 3p.
(Location: IWMI-HQ Call no: P 3528 Record No: H014753)
19 Diba, A.; Mahjoub, M. 1994. Optimal operation of multiple-reservoir system. Journal of Water Resources Planning and Management, 120(5):742-747.
(Location: IWMI-HQ Call no: PER Record No: H015108)
20 Jayasuriya, M. D. A.; Doeg, T. J.; Saddlier, S. R.; Loh, M. T. Y. 1993. Integration of results from a system simulation model and an environmental survey to assist the outlet tower construction at Upper Yarra Reservoir, Australia. In Tingsanchali, T. (Ed.), Proceedings of the International Conference on Environmentally Sound Water Resources Utilization, Bangkok, Thailand, 8-11 November 1993. Vol.1. Bangkok, Thailand: AIT. pp.I-99-106.
(Location: IWMI-HQ Call no: 333.91 G000 TIN Record No: H015770)
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