Your search found 4427 records
1 Ballentine, T. M.; Stakhiv, E. Z. (Eds.) 1993. Proceedings of the First National Conference on Climate Change and Water Resources Management. Alexandria, VA, USA: Institute for Water Resources. 425p. (IWR report 93-R-17)
Climate ; Agroclimatology ; Water management ; Water policy ; Hydrology ; Models ; Environmental effects ; Water supply ; Water quality ; River basins ; Legislation ; Water law / USA / Rio Grande Basin / Colorado River Basin / Texas / Boston / Delaware River Basin / Missouri / Minnesota
(Location: IWMI-HQ Call no: 630.2515 G430 BAL Record No: H019662)
2 Burton, M. A.; Franks, T. R. 1983. Simulation and modelling for training in irrigation management. In W. M. Adams and A. T. Grove, Eds., Irrigation in tropical Africa: Problems and problem solving (pp. 131-141). Cambridge: African Studies Centre.
(Location: IWMI-HQ Call no: 631.7.8 G100 ADA Record No: H0183)
3 Trout, T.; Kemper, W. D.; Hasan, H. S. 1982. Circular concrete irrigation turnout. Fort Collins, CO, USA: Colorado State University. 69 p. (Water management synthesis project handbook no. 1 / Design and construction handbook no. 1)
(Location: IWMI-HQ Call no: 631.7.1 G730 TRO Record No: H0475)
4 Yaron, D. 1986. Economic aspects of irrigation with saline water. In K. C. Nobe and R. K. Sampath, Eds., Irrigation management in developing countries: Current issues and approaches (pp. 217-263). Boulder, CO: Westview Press.
Economic evaluation ; Salinity ; Terminal level irrigation ; Crop yield ; Soil water relations ; Models
(Location: IWMI-India Call no: 631.7 G000 NOB Record No: H0990)
The paper reviews the economic dimensions of irrigation with water of varying salinity levels, with emphasis on on-farm irrigation problems. The farm-region interactions are dealt with only briefly. The paper commences with a short review of the underlying physical water-soil-crop yield relationships and of the sources of information regarding them. In the next section, empirical estimates of farms' income losses under selected situations are reviewed. The next section discusses the alternatives open to farms to reduce salinity-induced losses and the agro-economic models designed to evaluate them. Several aspects of the farm-region interactions are then reviewed. The final section points to some hopeful frontier-changing innovations currently under study, which, if successfully developed, may drastically change the frame of reference for salinity problems in agriculture.
5 Easter, K. W. 1986. Introduction and conceptual model. In K. W. Easter (Ed.), Irrigation investment, technology, and management strategies for development (pp. 1-11). (Studies in water policy and management no. 9) Boulder, CO, USA: Westview Press.
(Location: IWMI-HQ Call no: 631.7 G000 EAS Record No: J 37)
6 Manchanayake, P.; Wickramasuriya, S. S.; Ekanayake, S. T. B. 1987. Development of a rainfall-runoff model for Uma Oya catchment in Mahaweli basin. Engineer, 15(1):47-54.
Water resource management ; Catchment areas ; Benefits ; Rainfall-runoff relationships ; Models / Sri Lanka / Mahaweli Project
(Location: IWMI-HQ Call no: PER Record No: H02647)
7 Yixing, B.; Yeou-Koung, T.; Hasfurther, V. R. 1987. Evaluation of uncertainty in flood magnitude estimator on annual expected damage costs of hydraulic structures. Water Resources Research, 23(11):2023-2029.
Flood control ; Costs ; Irrigation design ; Estimation ; Hydraulic structures ; Uncertainty ; Probability analysis ; Models
(Location: IWMI-HQ Call no: PER Record No: H02827)
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In the risk based design for hydraulic structures, the major task is the evaluation of the annual expected damage costs caused by floods. Due to the use of a limited amount of data in flood frequency analysis, the computed flood magnitude of a specified return period is subject to uncertainty. A methodology to integrate such uncertainty in the evaluation of annual expected flood damage is developed and illustrated through an example in culvert design. The effect of uncertainty in estimating flood magnitude using different hydrologic probability models with different sample sizes on the annual expected damage cost is examined. Results of the study show that the effect of the uncertainty in a flood magnitude estimate on annual expected damage is quite significant and is sensitive to the sample sizes and the probability distribution models used.
8 Resendiz-Carrilo, D.; Lave, L. B. 1987. Optimizing spillway capacity with an estimated distribution of floods. Water Resources Research, 23(11):2043-2049.
(Location: IWMI-HQ Call no: PER Record No: H02829)
A model of social cost minimizing spillway capacity for dams is constructed using (1) the estimated distribution of peak flows from historical data, (2) the estimated relationship between spillway capacity and cost, and (3) a characterization of downstream flood damage from dam failure. Net social cost is the sum of construction costs and expected flood damage. This model is applied to data for the Rio Grande River at Embudo, New Mexico. Minimum social cost is attained at a spillway capacity much smaller than that needed to handle a probably maximum flood.
9 Jones. L.; Willis, R.; Yeh, W. W. G. 1987. Optimal control of nonlinear groundwater hydraulics using differential dynamic programming. Water Resources Research, 23(11):2097-2106.
(Location: IWMI-HQ Call no: PER Record No: H02831)
Optimal groundwater management models are based on the hydraulic equations of the aquifer system. These equations relate the state variables of the groundwater system, the head, and the decision variables that control the magnitude, location, and timing of pumping, or artificial recharge. Several example problems illustrate the application of DDP to the optimal control of nonlinear groundwater hydraulics.
10 Zamel, A.; Ben-Asher, J.; Charach, Ch.; Silberbush, M. 1987. Solute transfer and extraction from trickle irrigation source: The effective hemisphere model. Water Resources Research, 23(11):2091-2096.
(Location: IWMI-HQ Call no: PER Record No: H02830)
Solute distribution around a trickle source for three-dimensional steady state flow is studied in terms of an approximate analytic model. Ion and water uptake by the root system are taken into account. Moisture flow and ion concentration profiles are assumed to have hemispherical symmetry. The distributions are nearly constant near the source, with a sudden increase or decrease closer to the wetting front, depending on the ion balance. A simple criterion for the highest allowed concentration is developed. The calculated profiles are compared with the results of field measurements on potassium and nitrate ions.
11 Keller, A. A. 1987. The USU unit command area model. Logan, UT, USA: Utah State University. xiv, 173p. (WMS report 71)
(Location: IWMI-HQ Call no: 631.7.1 G000 KEL Record No: H02834)
12 Chauhan, H. S. 1986. Groundwater modelling. In Regional Workshop on Groundwater Modelling, Roorkee, 12-17 December 1986. Roorkee, India: Water Resources Development Training Center, University of Roorkee. pp.43-59.
(Location: IWMI-HQ Call no: 631.7.6.3 G635 REG Record No: H02937)
13 Krishnasamy, K. V.; Sakthivadivel, R. 1986. Regional modelling of nonlinear flows in multiaquifer system. In Regional Workshop on Groundwater Modelling, Roorkee, 12-17 December 1986. Roorkee, India: Water Resources Development Training Center, University of Roorkee. pp.85-105.
(Location: IWMI-HQ Call no: 631.7.6.3 G635 REG Record No: H02939)
14 Khan, L. R.; Mawdsley, J. A. 1986. Groundwater yield assessment of a stream aquifer system using a lumped model. In Regional Workshop on Groundwater Modelling, Roorkee, 12-17 December 1986. Roorkee, India: Water Resources Development Training Center, University of Roorkee. pp.121-138.
(Location: IWMI-HQ Call no: 631.7.6.3 G635 REG Record No: H02941)
15 Dinar, A. 1987. Use of interdisciplinary models in extension: A case study of Rehovot region, Israel. Agricultural Administration and Extension, 24(3):165-176.
Irrigation management ; Irrigation programs ; Water allocation ; Tertiary level irrigation ; Irrigation efficiency ; Cotton ; Models ; Hydraulics ; Extension / Israel / Rehovot
(Location: IWMI-HQ Call no: PER Record No: H02904)
16 Lancini, J. B. 1987. Strengthening the research/extension linkage through appropriate technology: A case study from the southern Philippines. Agricultural Administration and Extension, 24(1):61-67.
(Location: IWMI-HQ Call no: PER Record No: H02902)
17 Nwaogazie, L. 1987. Comparative analysis of some explicit-implicit stream flow models. Advances in Water Resources, 10(2):69-77.
(Location: IWMI-HQ Call no: PER Record No: H02898)
18 Guthe, W. G.; Shelton, M. L. 1987. Estimating the water resources for a high Sierra water shed. Water Resources Bulletin, 23(5):767-775.
Water quality ; Water resources development ; Evaluation ; Groundwater ; Models ; Watersheds ; Water policy ; Hydrology / USA / Sierra Nevada
(Location: IWMI-HQ Call no: PER Record No: H03016)
19 Srivastava, R. C.; Wasnik, P. G. 1997. Development of design of LDPE film lined tank and conveyance channel. In Water Technology Centre for Eastern Region, WTCER annual report 1996 - 97. Bhubaneswar, India: WTCER. pp.45-71.
Water conveyance ; Open channels ; Tanks ; Crops ; Rotation ; Runoff ; Recycling ; Design ; Rice ; Models ; Water balance / India
(Location: IWMI-HQ Call no: 631.7.1 G635 WAT Record No: H022002)
20 Loaiciga, H. A.; Mari¤o, M. A. 1987. Parameter estimation in groundwater: classical, Bayesian and deterministic assumptions and their impact on management policies. Water Resources Research, 23(6):1027-1035.
(Location: IWMI-HQ Call no: PER Record No: H03169)
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