Your search found 2088 records
1 de Vera, M. R. 1975. Estimation of dry season streamflow from rainfall for selected diversion irrigation systems. In International Rice Research Institute, Water management in Philippine irrigation systems: Research and operations (pp. 113-126). Los Banos, Laguna, Philippines: International Rice Research Institute.
(Location: IWMI-HQ Call no: 631.7.6 G732 INT Record No: H013)
Two multiple regression models are used to relate antecedent rainfall to dry seasons flow of 14 rivers serving diversion irrigation systems in the Philippines. The first model expresses streamflow as a function of the bimonthly rainfall totals in centimeters from the preceding 8 months, and the second model relies on the two bimonthly totals most highly correlated to flow and the number of rainy days with 25 mm or more rainfall from the preceding 6 month period. The models have little difference in their predictive accuracy. Although the standard error estimate is relatively high, equations for half of the rivers studied could explain more than 60 percent of the variation in streamflow, and for some rivers over 80 percent in the second model.
2 Waite, P. J. 1979. Abary River, Guyana: Salinity prediction model. Wallingford, UK: Hydraulics Research Station. 100p. (Hydraulics Research Station report no.OD/20)
(Location: IWMI-HQ Call no: 631.7.5 G526 WAI Record No: H0272)
A one-dimensional model of the high water slack distribution of salinity has been used to simulate salinity movement in the Abery River, Guyana. The collection of data and its processing for use in the model is described. The model proving and verification procedures are outlined. A method is developed which uses the one-dimensional model to assist the operators of a reservoir with planning the release of water down the river to control the salinity in the estuary. This method is incorporated in a computer program which uses historical rainfall, planned crop areas and crop water requirements to simulate the operation of the reservoir, including water releases for irrigation, salinity control and flood control. Results are presented in terms of salinity movement in the estuary during the driest years in a 46year period of rainfall records. The salinity movements with and without control of the river are compared.
3 Lieftinck, P.; Sadove, A. R.; Creyke, T. C. 1969. Water and power resources of West Pakistan: A study in sector planning. Baltimore, MD, USA: Johns Hopkins University Press. 3 vols: xvi,310p.; 419p.; x, 386p.
Economic situation ; Energy ; Simulation models ; Irrigation ; Agriculture ; Investment ; Tube wells ; Reservoirs / Pakistan
(Location: IWMI-HQ Call no: 631.7.8 G730 LIE Record No: H0603)
Vol.I - Main report; Vol. II - The development of irrigation and agriculture; Vol. III - Background and methodology supplemental papers
4 Camp, C. R.; Hunt, P. G.; Bauer, P. J. 1995. Subsurface microirrigation management and lateral spacing for cotton in the Southeastern USA. 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.368-374.
Drip irrigation ; Subsurface irrigation ; Cotton ; Crop yield ; Irrigation effects ; Nitrogen ; Fertilizers ; Simulation models ; Soil water / USA / South Carolina
(Location: IWMI-HQ Call no: 631.7 G000 LAM Record No: H018874)
5 Johnson, S. H. III. 1980. The economics of water management to reduce waterlogging. In Y. Haimes (Ed.), Water and related land resource systems (pp. 235-241). Oxford, UK: Pergamon Press.
Water management ; Waterlogging ; Irrigation practices ; Groundwater extraction ; Simulation models ; Conjunctive use ; Policy ; Economic analysis / USA / Colorado
(Location: IWMI-India Call no: 631.7.4 G437 JOH Record No: H0806)
Drainage, groundwater withdrawals and altered irrigation practices are among the techniques for reducing waterlogging problems resulting from inefficient water use. However, these corrective measures are often not adopted since the private costs incurred by the individual operator quite often exceed the private benefits. Net social benefits are likely to be positive, so collective action may be appropriate. The overall objective of this paper is to develop an integrated approach combining both economic and physical considerations in order to evaluate possible collective alternative approaches to relieving waterlogging problems. Using survey data from the San Luis Valley, this paper presents a recursive linear programming model that includes both uncertainty and capital constraints. This model incorporates a weekly short-run water allocation model and a simplified water balance model of the groundwater to form a complete simulation model. The model was run using 20 years of historical climatological data to represent the long-run effects of policies which might be undertaken by the water users or by the Colorado State Engineer. Policy alternatives modeled include: Investment in canal lining, total conversion to sprinkler irrigation, various restrictions on groundwater pumpage, and a modified quota-market system. A comparison of the economic and physical results of these simulated alternatives is made and policy recommendations are suggested.
6 Johnson, S. H. III; Reuss, J. O. 1984. Economics of changes in irrigation management in Pakistan: An integrative modeling approach. Water International, 9:66-71.
(Location: IWMI-India Call no: 631.7.6 G730 JOH Record No: H0811)
Using a computer model, alternative irrigation management systems are simulated for the Punjab, the largest state in Pakistan. Economic results indicate that canal closure in February to April, rather than December and January, would increase per hectare returns by US $15-35. Due to the limited capacity of the present canals, changing from a continuous flow to a demand system does not appear to be economically feasible. However, if present allocation can be supplemented by private wells operated on demand, higher economic returns and more flexibility would be possible.
7 Parrish, J. B. III. 1982. "Irrigame" an irrigation management simulation game. Logan, Utah, USA: Utah State University. Unpublished report submitted in partial fulfillment of the requirements for the degree of Master of Science. vii, 194p.
(Location: IWMI-HQ Call no: 631.7.1 G000 PAR Record No: H0866)
8 Faeth, P. 1984. Determinants of performance of irrigation projects in developing countries. Washington, DC, USA: USDA. 48p.
(Location: IWMI-HQ Call no: 631.7.8 G000 FAE Record No: H01032)
Irrigation development in developing countries is very expensive and most irrigation development projects experience large cost-overruns. In addition, many projects are not as productive as planned. This report provides some insight into the key factors which cause cost escalation and performance degradation, and describe policies which may help to remedy these problems.
9 Ansell, A.; Upton, M. 1979. Small scale water storage and irrigation: An economic assessment for south west Nigeria. Reading, UK: University of Reading. 98 p. (Department of Agricultural Economics and Management development study no. 17)
(Location: IWMI-HQ Call no: 631.7.4 G214 ANS Record No: H01037)
10 Rosegrant, M. W. 1984. Potential benefits from improved water management practices and irrigation system rehabilitation: Preliminary results from a simulation analysis of irrigation systems. Washington, DC, USA: IFPRI. 39 p.
Investment ; Rehabilitation ; Water use efficiency ; Benefits ; Simulation models ; Irrigation systems / Asia
(Location: IWMI-HQ Call no: 631.7.8 G570 ROS Record No: H01047)
11 Elango, K.; Indrasenan, N.; Shanmuganathan, S. 1981. A digital simulation model for a minor irrigation system: Pillaipakkam tank. Madras, India: Indian Institute of Technology. 15 p. (Planning and management of irrigation systems technical session no. 8)
Tank irrigation ; Small scale systems ; Water management ; Simulation models ; Irrigation efficiency ; Rehabilitation / India
(Location: IWMI-HQ Call no: F 631.7.1 G635 ELA Record No: H01225)
12 Stockle, C.; Campbell, G. 1985. A simulation model for predicting effect of water stress on yield: An example using corn. In D. Hillel, Advances in irrigation. Vol. 3 (pp. 284-310). Orlando, FL, USA: Academic Press.
(Location: IWMI-HQ Call no: 631.7 G000 HIL Record No: H01806)
13 Hillel, D. (Ed.) 1985. Advances in irrigation. Vol.3. Orlando, FL, USA: Academic Press. vii, 323p.
Drip irrigation ; Irrigation practices ; Irrigation scheduling ; Water management ; Evapotranspiration ; Simulation models
(Location: IWMI-HQ Call no: 631.7 G000 HIL Record No: H01800)
14 1987. International Workshop on Rehabilitation of Tank Irrigation Systems for Improved Crop Production, held at the Centre for Water Resources, Anna University, Madras, India, 7-9 January 1987. Background material. Madras, India: Anna University. 86p.
Rehabilitation ; Tank irrigation ; Simulation models ; Recycling ; Small scale systems ; Farmers' associations / India / Thailand / Sri Lanka / Gal Oya Project / Tamil Nadu
(Location: IWMI-HQ Call no: 631.7.7 G000 INT Record No: H02787)
15 Susanto, S.; Kaida, Y. 1991. Tropical hydrology simulation model 1 for watershed management: (1) Model building. Journal of the Japanese Society of Hydrology and Water Resources, 4(2):43-53.
Watershed management ; Hydrology ; Rainfall-runoff relationships ; Simulation models ; Mathematical models ; Flow channels ; Irrigation water ; Groundwater / Indonesia / Java
(Location: IWMI-HQ Call no: P 4670 Record No: H021762)
16 Susanto, S.; Kaida, Y. 1991. Tropical hydrology simulation model 1 for watershed management: (2) Model application in the Kali Progo River Basin, Central Java, Indonesia. Journal of the Japanese Society of Hydrology and Water Resources, 4(3):25-36.
Watershed management ; River basins ; Hydrology ; Flow ; Simulation models ; Rice ; Irrigation water / Indonesia / Central Java / Kali Progo River Basin / Kranggan Subbasin
(Location: IWMI-HQ Call no: P 4671 Record No: H021763)
17 Susanto, S.; Kaida, Y. 1991. Tropical hydrology simulation model 1 for watershed management: (3) Using the model for land use management. Journal of the Japanese Society of Hydrology and Water Resources, 4(4):31-40.
Watershed management ; River basins ; Hydrology ; Simulation models ; Land use ; Irrigation water ; Rice / Indonesia / Central Java / Kali Progo River Basin
(Location: IWMI-HQ Call no: P 4672 Record No: H021764)
18 Weaver, T.; Roumasset, J. A.; Rosegrant, M. W.; Keller, J. 1984. A framework of economic research on water management in Bangladesh. Dhaka, Bangladesh: BARC. xiii, 47p.
(Location: IWMI-HQ Call no: 631.7.8 G584 WEA Record No: H02413)
19 Kyung, H. Y.; Molnau, M. 1987. Upland soil erosion for agricultural watersheds. Water Resources Bulletin, 23(5):819-827.
(Location: IWMI-HQ Call no: PER Record No: H02816)
20 Camara, A. S; Pinheiro, M.; Antunes, M. P.; Seixas, M. J. 1987. A new method for qualititative simulation of water resources systems: 1 Theory. Water Resources Research, 23(11):2015-2018.
(Location: IWMI-HQ Call no: PER Record No: H02825)
A new dynamic modeling methodology, SLIN (Simula++o Linguistica), allowing for the analysis of systems defined by linguistic variables, is presented. SLIN applies a set of logical rules avoiding fuzzy theoretic concepts. To make the transition from qualitative to quantitative modes, logical rules are used as well. Extensions of the methodology to simulation-optimization applications and multiexpert system modelling are also discussed.
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