Your search found 1171 records
1 Misirli, F.; Yazicigil, H. 1997. Optimal ground-water pollution plume containment with fixed charges. Journal of Water Resources Planning and Management, 123(1):2-14.
Groundwater management ; Mathematical models ; Water quality ; Water pollution ; Linear programming ; Wells
(Location: IWMI-HQ Call no: PER Record No: H019688)
2 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)
3 Culver, T. B.; Shoemaker, C. A. 1997. Dynamic optimal ground-water reclamation with treatment capital costs. Journal of Water Resources Planning and Management, 123(1):23-29.
(Location: IWMI-HQ Call no: PER Record No: H019690)
4 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)
5 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.
6 Waite, P. J. 1976. Rio Guayas, Ecuador: Field data for estuary salinity study. Wallingford, UK: Hydraulics Research Station. 120p. (Hydraulics Research Station report no.OD/8)
(Location: IWMI-HQ Call no: 551.4609 G520 WAI Record No: H0273)
7 McWhorter, D. B. 1980. Summary of skimming well investigations. Fort Collins, CO, USA: Colorado State University. xi, 77 p. (Water management technical report no. 63)
(Location: IWMI-HQ Call no: 631.7.1 G730 MCW Record No: H0328)
This report summarizes the theoretical, laboratory, and field research conducted as part of the Water Management Research Project at Colorado State University. The research was specifically oriented toward Pakistan problems but much of the material is more generally applicable. Salt water upconing in isotropic and anisotropic aquifers beneath wells was examined using both laboratory and numerical models, and guidelines for the construction and operation of wells to minimize contamination by upconing are provided. A method for determining the maximum safe depth of drains below the water table is also provided.
8 Reuss, J. O. 1980. Matching cropping systems to water supply using an integrative model. Fort Collins, CO, USA: Colorado State University. xiv, 201 p. (Water management technical report no. 62)
(Location: IWMI-HQ Call no: 631.7.2 G000 REU Record No: H0347)
This paper describes the process of matching cropping systems to available irrigation water supply. The Penman and the Jensen-Haise methods for calculation of potential evapotranspiration (Etp) from climatic parameters are presented, along with methods for calculating crop water requirements once Etp is known. The principles of determining irrigation water requirements of single crops and of combinations of crops is given. Examples given are from Pakistan. Due to the complexity of the process a simulation model was developed to match cropping systems to water supply. Model structure is described and examples are shown for both single and multiple cropping systems. Details of the methods of calculation along with program documentation and listings are appended.
9 Peri, G.; Skogerboe, G. V.; Norum, D. I. 1979. Evaluation and improvement of basin irrigation. Fort Collins, CO, USA: Colorado State University. xix, 179p. (Water management technical report no.49B)
(Location: IWMI-HQ Call no: 631.7.8 G000 PER Record No: H0327)
A comprehensive definition and description of basin irrigation is given. A procedure is outlined for the design and evaluation of basin irrigation systems, showing the interactions between the various basin characteristics, the operational parameters, the management parameters, and the performance parameters. A general model is discussed by considering the various functions upon which it must be based (infiltration, advance, recession). A simple model for the determination of the infiltrated water distribution under basin irrigation is also presented. It is shown that the actual distribution can be determined from limited field data. The model can be applied to both level and sloped basins. Comparison with other more complicated models shows satisfactory agreement in the distribution. A complete infiltrated water distribution under basin irrigation can be approximated from limited field observations. Field procedures are described that will provide the parameters required to determine the distributions. As only two of a possible four parameters are sufficient to define each distribution, the selection of these parameters should be made on the basis of circumstances under which the field observations were made. General guidelines are given for the selection of the most reliable parameters. The main advantage of the method is its simplicity in both the field measurements required and in the data analysis. The procedure suggested is suitable for most practical cases, especially as a preliminary evaluation when detailed studies are not warranted.
10 Hanks, R. J.; Hill, R. W. 1980. Modeling crop responses to irrigation in relation to soil, climate and salinity. Bet Dagan, Israel: IIIC. 66 p. (IIIC publication no. 6)
(Location: IWMI-HQ Call no: 631.7.2 G000 HAN Record No: H0494)
11 ICID. 1972. ICID technical memoirs no. 1, 1972. New Delhi, India: ICID. 320p.
Evapotranspiration ; Flow ; Drainage ; Watercourses ; Rain ; Irrigated farming ; Mathematical models ; Canals
(Location: IWMI-HQ Call no: 631.7 G000 ICI Record No: H0660)
12 ICID. 1974. ICID technical memoirs no. 2, 1974. New Delhi, India: ICID. 342 p.
Irrigation effects ; Irrigation engineering ; Developing countries ; Water use efficiency ; Runoff ; Water ; Mathematical models
(Location: IWMI-HQ Call no: 631.7 G000 ICI Record No: H0661)
13 ICID. 1969. Symposium on the Application of Computers in the Analysis of Various Problems Relating to Irrigation and Drainage Systems, Mexico City, 1969: Proceedings. New Delhi, India: ICID. vii, 202p.
(Location: IWMI-HQ Call no: ICID 631.7 G000 ICI Record No: H0708)
14 Framji, K. K.; Garg, B. C.; Kaushish, S. P. 1984. Design practices of open drainage channels in an agricultural land drainage system. New Delhi, India: ICID. xiii, 343 p.
(Location: IWMI-HQ Call no: 631.7.1 G000 FRA Record No: H0703)
15 Framji, K. K. (Ed.) 1972. Design practices of irrigation canals in the world. New Delhi, India: ICID. [322 p.]
(Location: IWMI-HQ Call no: 631.7.1 G000 FRA Record No: H0662)
16 Shalhevet, J.; Kamburov, J.; Framji, K. K. (Comp.) 1976. Irrigation and salinity: A world-wide survey. New Delhi, India: ICID. xv, 106p.
Salinity ; Irrigated farming ; Water quality ; Soil conservation ; Yield response functions ; Mathematical models ; Economic aspects
(Location: IWMI-HQ Call no: 631.7.5 G000 SHA Record No: H0722)
17 Sethaputra, S. 1978. Effects of the Ubolratana Dam on flood control in the irrigation area.
(Location: IWMI-HQ Call no: P 924 Record No: H0644)
18 ICID. 1976. Special session on new and promising developments in the field of irrigation, drainage and flood control, New Delhi, 1976: Proceedings. New Delhi, India: ICID. 116p.
(Location: IWMI-HQ Call no: ICID 631.7.8 G000 ICI Record No: H0701)
19 Wimaladharma, K. (Ed.) 1985. Towards improved water management: Some papers presented at PASE training courses, 1983-85. Colombo, Sri Lanka: Irrigation Secretariat. Ministry of Lands and Land Development. ii, 193 p. (PASE publication no. 6)
Water management ; Training ; Mathematical models ; Farmers' associations ; Investment planning ; Maintenance ; Rain ; Irrigated farming ; Farmer participation / Sri Lanka
(Location: IWMI-HQ Call no: 631.7 G744 WIM Record No: H0768)
20 Manges, H. L.; Spurgeon, W. E.; Huang, Z. M.; Tomsicek, D. J. 1995. Subsurface dripline spacing and plant population for corn production. In Lamm, F. R. (Ed.), Microirrigation for a changing world: Conserving resources/preserving the environment: Proceedings of the Fifth International Microirrigation Congress, Hyatt Regency Orlando, Orlando, Florida, April 2-6, 1995. St. Joseph, MI, USA: ASAE. pp.382-387.
Subsurface irrigation ; Drip irrigation ; Maize ; Crop production ; Mathematical models / USA / Kansas
(Location: IWMI-HQ Call no: 631.7 G000 LAM Record No: H018876)
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