Your search found 339 records
1 Haestad Methods. 1997. Water distribution modeling software. Waterbury, CT, USA: Haestad Methods. 10p.
(Location: IWMI-HQ Call no: P 4669 Record No: H021761)
2 Dudley, N. J.; Musgrave, W. F. 1988. Capacity sharing of water reservoirs. Water Resources Research, 24(5):649-658.
(Location: IWMI-HQ Call no: PER Record No: H03709)
3 Louis Berger International Inc.; Water and Power Consultancy Services (India) Ltd. 1989. State training institutes profile on microcomputer training. New Delhi, India: IMTP. iii, 37p. (Technical report no.24-a)
Training ; Institutions ; Computer models ; Computer software ; Computer techniques ; Irrigation / India
(Location: IWMI-HQ Call no: 631.7.8 G635 LOU Record No: H05486)
4 Samani, Z.; Magallanez, H. 1993. Measuring water in trapezoidal canals. Irrigation and Drainage Engineering, 119(1):181-186.
(Location: IWMI-HQ Call no: PER Record No: H012125)
5 Ross, M. A.; Tara, P. D. 1993. Integrated hydrologic modeling with geographic information systems. Journal of Water Resources Planning and Management, Also published in Water Resources Journal, June 1994. pp.23-30. 119(2):129-140.
(Location: IWMI-HQ Call no: PER Record No: H012185)
6 Godaliyadda, G. G. A. 1993. Computer applications in irrigation system operation: Case study from Galoya. Jalaurudi, 2(1):11-20.
Computer techniques ; Computer models ; Irrigation operation ; Irrigation systems ; Case studies / Sri Lanka / Gal Oya Project
(Location: IWMI-HQ Call no: P 2784 Record No: H012859)
Use of computers for Irrigation System Operation is increasingly gaining momentum. The first attempt by the Irrigation Department to use micro-computers for the purpose of system operation and water management was establishing a Computer Centre at Irrigation Engineer's Office, Ampara in 1984, with Radio Shack Model-16 B micro-computer. Since then, several computer models have been developed for operation of systems to assist system operators in scheduling water release and in recording data for analyzing system performance.
7 Bradbury, P. A.; Dickinson, A. 1993. The development of a GIS-based sediment yield model for catchment planning. Oxfordshire, UK: HR Wallingford. 4p. (OD/P 117)
GIS ; Sedimentation ; Computer models ; Catchment yield ; Simulation models ; Calibrations / Philippines / Sri Lanka / Thailand
(Location: IWMI-HQ Call no: P 2938 Record No: H013541)
This paper outlines the principles and applications of the CALSITE model for the CALibrated Simulation of Transported Erosion, based upon its implementation in The Philippines. The model is being developed for use in Sri Lanka and Thailand with IDRISI GIS software.
8 Makin, I. W.; Cornish, G. A.; Spark, P. 1993. Irrigation water management: Experiences with computer aided systems. Oxfordshire, UK: HR Wallingford. pp.25-26; 15p. (OD/P 119)
Water management ; Irrigation management ; Computer techniques ; Computer models ; Computer software / Sri Lanka / Thailand
(Location: IWMI-HQ Call no: IIMI 631.7.8 G744 HAQ, P 2940 Record No: H013543)
Workshop on the Use of Computer Operated Models as Decision Support Tools in Operation and Management of Irrigation Systems: Sri Lankan Experience, Irrigation Training Institute, Galgamuwa, Sri Lanka, 15-16 July 1993. Also published in Haq, K. A.; Rey, J.; Sakthivadivel, R.; Samarasekera, B. M. S. (Eds.) 1994. Use of computer-operated models as decision-support tols in operation and management of irrigation systems: Sri Lankan experience - Proceedings of the Workshop on the Use of Computer Operated Models as Decision Support Tools in Operation and Management of Irrigation Systems, Galgamuwa, Sri Lanka, 15-16 July 1993. Colombo, Sri Lanka: IIMI
9 Robinson, D. I.; McGhee, T. J. 1993. Computer modeling of side-flow weirs. Journal of Irrigation and Drainage Engineering, 119(6):989-1005.
(Location: IWMI-HQ Call no: PER Record No: H013673)
A new computational procedure is presented that addresses the complex phenomena found in declining-flow regimes and does not require that the boundary conditions of the declining-flow segment be defined. These conditions are determined as part of the solution of the larger problem of determining the flows in the entire conveyance system. The procedure utilizes the principle of conservation of momentum in the declining-flow segment, coupled with standard water-profile procedures in the constant-flow segments. The algorithm determines whether the flow is supercritical, subcritical or a combination of both. If a hydraulic jump occurs, its location is found, even if it lies within the declining-flow segment. The procedure is applied specifically to the side-flow weir, and theoretical computations are compared to experimental values that have been published by others. Excellent correspondence exists between the theoretical and experimental results. Examples of the results for a variety of conditions are presented, including the circumstance in which a hydraulic jump occurs in the weir reach.
10 Hinaman, K. C. 1993. Use of a Geographic Information System to assemble input-data sets for a finite-difference model of ground-water flow. Water Resources Bulletin, 29(3):401-405.
(Location: IWMI-HQ Call no: PER Record No: H013765)
11 Pitts, D. J.; Ferguson, J. A.; Wright, R. E. 1986. Trickle irrigation lateral line design by computer analysis. In American Society of Agricultural Engineers, Transactions of the ASAE: Special edition - Soil and Water, Vol.29. St. Joseph, MI, USA: ASAE. pp.1320-1324.
(Location: IWMI-HQ Call no: 631.4 G000 AME Record No: H013862)
12 Garcia, L. A.; Strzepek, K. M.; Podmore, T. H. 1994. Design of agricultural drainage with adaptive irrigation management. Journal of Irrigation and Drainage Engineering, 120(1):179-194.
Arid lands ; Irrigation systems ; Drainage ; Performance evaluation ; Irrigation management ; Irrigation scheduling ; Waterlogging ; Crop yield ; Salinity ; Computer models ; Simulation ; Case studies / Egypt
(Location: IWMI-HQ Call no: PER Record No: H013880)
This paper describes a new approach to designing field-scale irrigation and drainage systems in arid irrigated areas. This approach allows for a drainage design that can adjust to irrigation schedules to alleviate waterlogging and salinity problems. This approach has been implemented in a computer model. The computer model contains a feedback loop between the irrigation scheduling and the drainage design components. The modular components of the system are a weather generator, irrigation scheduling, upward flow, salinity of the irrigation water, transient-state drainage design, and crop production. The model modifies the irrigation schedule taking into consideration the effects on the drainage design. The performance of the system is evaluated using the net benefits, as well as explicitly addressing the stochastic nature of irrigation and drainage. The model is constructed so the irrigation and drainage components may be varied individually to study the impact on the whole system. This capability will allow the user to quantify the cost of minimizing drainage water production by modifying the irrigation schedule.
13 Bao, Y.; Mays, L. W. 1994. New methodology for optimization of freshwater inflows to estuaries. Journal of Water Resources Planning and Management, 120(2):199-217.
Water resources ; Estuaries ; Stream flow ; Salinity ; Optimization methods ; Computer models ; Computer techniques ; Simulation models ; Water management ; Decision making / USA / California
(Location: IWMI-HQ Call no: PER Record No: H011936)
14 Purkey, D. R.; Seckler, D. 1994. IE Model version 2.1. Washington, DC, USA: Winrock International. 12p. + 1 (3 1/2") diskette.
(Location: IWMI-HQ Call no: P 3348 Record No: H014124)
15 King, B. A.; Busch, J. R. 1993. Computer model for on-farm irrigation system planning. Agricultural Water Management, 24:239-248.
(Location: IWMI-HQ Call no: P 3376 Record No: H014192)
A microcomputer model is developed for use as a planning tool to aid in the sequence of development, evaluation and selection of the best alternative on-farm irrigation system plan. The model is used to predict operation of an on-farm irrigation system under given site-specific conditions and select the best system plan from a set of alternatives. The best system plan is selected based on maximization of annualized net returns to land and management. Application of the model to a case study is presented. The consequences of limitations in water, energy and labor used and/or different economic scenarios are evaluated as it concerns system plan selection.
16 He, C.; Riggs, J. F.; Kang, Y. T. 1993. Integration of geographic information systems and a computer model to evaluate impacts of agricultural runoff on water quality. Water Resources Bulletin, 29(6):891-900.
(Location: IWMI-HQ Call no: PER Record No: H014501)
17 Martz, L. W.; Garbrecht, J. 1993. Automated extraction of drainage network and watershed data from digital elevation models. Water Resources Bulletin, 29(6):901-908.
(Location: IWMI-HQ Call no: PER Record No: H014502)
18 Garbrecht, J.; Martz, L. W. 1993. Network and subwatershed parameters extracted from digital elevation models: The Bills Creek experience. Water Resources Bulletin, 29(6):909-916.
(Location: IWMI-HQ Call no: PER Record No: H014503)
19 Jeton, A. E.; LaRue Smith, J. 1993. Development of watershed models for two Sierra Nevada basins using a geographic information system. Water Resources Bulletin, 29(6):923-932.
(Location: IWMI-HQ Call no: PER Record No: H014505)
20 Vedula, S.; Ramasesha, C. S.; Rao, A. A.; Prasad, B. S. 1986. Computer model for Vedavati ground water basin. Part 3. Irrigation potential. Sadhana, 9(1):57-68.
Groundwater potential ; Groundwater development ; Computer models ; River basins ; Crops ; Water requirements ; Water potential ; Simulation / India / Karnataka
(Location: IWMI-HQ Call no: P 3521 Record No: H014710)
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