Your search found 8 records
1 Bernardo, D. J.; Mapp, H. P.; Sabbagh, G. L.; Geleta, S.; Watkins, K. B.; Elliott, R. L.; Stone, J. F. 1993. Economic and environmental impacts of water quality protection policies: 1. Framework for regional analysis. Water Resources Research, 29(9):3069-3079.
Environmental effects ; Water quality ; Environmental policy ; Economic aspects ; Aquifers ; Simulation models ; Mathematical models / USA
(Location: IWMI-HQ Call no: PER Record No: H013549)
2 Bernardo, D. J.; Mapp, H. P.; Sabbagh, G. J.; Geleta, S.; Watkins, K. B.; Elliott, R. L.; Stone, J. F. 1993. Economic and environmental impacts of water quality protection policies: 2. Application to the Central High Plains. Water Resources Research, 29(9):3081-3091.
Environmental effects ; Water quality ; Environmental policy ; Economic aspects ; Aquifers ; Groundwater ; Simulation models ; Mathematical models / USA / Kansas / Texas / Oklahoma / New Mexico / Colorado
(Location: IWMI-HQ Call no: PER Record No: H013550)
3 Elliott, R. L.. 1991. Crop growth models in irrigation management: Applications and limitations. In Ritter, W. F. (Ed.), Irrigation and drainage: Proceedings of the 1991 National Conference sponsored by the Irrigation and Drainage Division of the American Society of Civil Engineers and the Hawaii Section, ASCE, Honolulu, Hawaii, July 22-26, 1991. New York, NY, USA: ASCE. pp.290-296.
Irrigation management ; Plant growth ; Simulation models ; Decision support tools ; Irrigation scheduling ; Soil-water-plant-relationships / USA
(Location: IWMI-HQ Call no: 631.7 G430 RIT Record No: H019892)
Crop growth models can provide helpful input to the complex process of on- farm irrigation decision making. The use of crop models in irrigation management will likely expand due to improved modeling capability, better data availability, and continued emphasis on water conservation and water quality. With regard to pre-season water management, the results of simulation modeling can aid in selecting crops, allocating water to those crops, and evaluating general irrigation strategies. Within a given irrigation season, crop models can provide a tool for analyzing the yield impacts associated with real-time irrigation scheduling decisions. Limitations associated with these modeling applications are related to model incompleteness and uncertainty, spatial variability in the field, and the difficulty in projecting the final yield response to a series of individual irrigation decisions.
4 Elliott, R. L.; Haan, C. T.; Fisher, D. K.; Marshall, W. R. 1996. Spatial aggregation for estimating evapotranspiration within a watershed. In Camp, C. R.; Sadler, E. J.; Yoder, R. E. (Eds.), Evapotranspiration and irrigation scheduling: Proceedings of the International Conference, November 3-6, 1996, San Antonio Convention Center, San Antonio, Texas. St. Joseph, MI, USA: ASAE. pp.619-625.
Evapotranspiration ; Estimation ; Watersheds ; Models ; Soil water ; Water balance / USA / Oklahoma / Little Washita River Watershed
(Location: IWMI-HQ Call no: 631.7.1 G000 CAM Record No: H020637)
5 Fisher, D. K.; Elliott, R. L.. 1996. Modeling rangeland/pasture evapotranspiration using the Shuttleworth-Wallace approach. In Camp, C. R.; Sadler, E. J.; Yoder, R. E. (Eds.), Evapotranspiration and irrigation scheduling: Proceedings of the International Conference, November 3-6, 1996, San Antonio Convention Center, San Antonio, Texas. St. Joseph, MI, USA: ASAE. pp.664-672.
(Location: IWMI-HQ Call no: 631.7.1 G000 CAM Record No: H020644)
6 Ali, R.; Elliott, R. L.; Ayars, J. E.; Stevens, E. W. 2000. Soil salinity modeling over shallow water tables - I: Validation of LEACHC. Journal of Irrigation and Drainage Engineering, 126(4):223-233.
Soil salinity ; Models ; Water table ; Lysimetry ; Evapotranspiration ; Irrigated farming ; Crop yield ; Drip irrigation ; Furrow irrigation ; Cotton ; Wheat ; Sugar / USA / California
(Location: IWMI-HQ Call no: PER Record No: H026519)
7 Ali, R.; Elliott, R. L.; Ayars, J. E.; Stevens, E. W. 2000. Soil salinity modeling over shallow water tables - II: Application of LEACHC. Journal of Irrigation and Drainage Engineering, 126(4):234-242.
Simulation models ; Irrigation management ; Soil salinity ; Evapotranspiration ; Water table ; Crop yield ; Evaluation
(Location: IWMI-HQ Call no: PER Record No: H026520)
8 Hoffman, G. J.; Evans, R. G.; Jensen, M. E.; Martin, D. L.; Elliott, R. L.. (Eds.) 2007. Design and operation of farm irrigation systems. 2nd ed. St. Joseph, MI, USA: American Society of Agricultural and Biological Engineers (ASABE). 863p.
Irrigation development ; Irrigation systems ; Design ; Furrow irrigation ; Surface irrigation ; Sprinkler irrigation ; Microirrigation ; Drip irrigation ; Subsurface irrigation ; Irrigation water ; Wastewater irrigation ; Water management ; Water table ; Irrigated farming ; Food production ; Fiber ; Water supply ; Drought ; Environmental effects ; Water storage ; Water requirements ; Water distribution ; Pumping ; Water quality ; Surface water ; Runoff ; Soil water content ; Hydraulic conductivity ; Salinity control ; Drainage systems ; Land forming ; Surveys ; Models ; Chemigation / USA
(Location: IWMI HQ Call no: 631.7.3 G300 HOF Record No: H045968)
(0.65 MB)
Powered by DB/Text WebPublisher, from
