Your search found 15 records
1 Bautista, E.; Wallender, W. W. 1992. Hydrodynamic furrow irrigation model with specified space steps. Journal of Irrigation and Drainage Engineering, 118(3):450-465.
Furrow irrigation ; Hydrology ; Mathematical models
(Location: IWMI-HQ Call no: PER Record No: H010392)

2 Bautista, E.; Wallender, W. W. 1993. Numerical calculation of infiltration in furrow irrigation simulation models. Journal of Irrigation and Drainage Engineering, 119(2):286-294.
Infiltration ; Furrow irrigation ; Simulation models
(Location: IWMI-HQ Call no: PER Record No: H012403)

3 Bautista, E.; Wallender, W. W. 1993. Identification of furrow intake parameters from advance times and rates. Journal of Irrigation and Drainage Engineering, 119(2):295-311.
Furrow irrigation ; Mathematical models ; Infiltration
(Location: IWMI-HQ Call no: PER Record No: H012404)

4 Bautista, E.; Wallender, W. W. 1993. Reliability of optimized furrow-infiltration parameters. Journal of Irrigation and Drainage Engineering, 119(5):784-800.
Furrow irrigation ; Infiltration ; Mathematical models ; Simulation
(Location: IWMI-HQ Call no: PER Record No: H013360)
The reliability of furrow-infiltration parameters computed from advance measurements was analyzed. Lumped parameters were obtained using the least-squares approach. The objective function was formulated using advance time and velocity observations as a function of distance. Predicted values were calculated with a finite difference hydrodynamic model with wetted perimeter-dependent infiltration. The extended Kostiakov equation was used to describe infiltration-rate variation with time. Reliability was examined by comparing recorded total intake and runoff with values predicted with the single average parameters. Results showed that reliability of coefficients depends on the relationship between infiltration variability, furrow length, and inflow rate. In particular, relatively short irrigation times hampered the identification of the steady infiltration rate. Spatial trends in infiltration rates affected the reliability of parameters as well. The magnitude and nature of the resulting prediction errors was found to be dependent on the direction of the trend relative to the flow direction. In general, velocities appeared to provide better estimates of average infiltration characteristics than advance times but weighted least squares may be required to compute the parameters from field data.

5 Bautista, E.; Wallender, W. W. 1993. Optimal management strategies for cutback furrow irrigation. Journal of Irrigation and Drainage Engineering, 119(6):1099-1114.
Furrow irrigation ; Infiltration ; Mathematical models
(Location: IWMI-HQ Call no: PER Record No: H013680)
The optimal management of a cutback-furrow-irrigation system with spatially variable infiltration based on an average intake function was analyzed. The problem was formulated as a cost-minimization function subject to meeting a specified fraction of the irrigation requirement. Optimal solutions were examined in the context of developing a real-time control system for furrow irrigation. Although total infiltration was adequately predicted with the average function, final water distribution was not. Consequently, the optimal policies resulted in actual requirement efficiencies less than the target value. Nonetheless, relative changes in performance as a function of the constraint were well predicted. The performance index was relatively insensitive near the optimum, and cutback time had the least impact on application efficiency and uniformity. Satisfactory performance was therefore still obtained by reducing the inflow after the final advance time. Similar values of application efficiency were generally computed with decreasing application depths, but smaller efficiency resulted when the optimized cutoff time was less than the final advance time. There were small performance differences between discrete and continuous-time cutback functions.

6 Bautista, E.; Wallender, W. W. 1991. Optimization of furrow infiltration parameters from advance times and advance rates. 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.704-710.
Surface irrigation ; Furrow irrigation ; Optimization ; Irrigation design ; Irrigation management ; Infiltration ; Simulation models
(Location: IWMI-HQ Call no: 631.7 G430 RIT Record No: H019924)

7 Lamacq, S.; Le Gal, P. Y.; Bautista, E.; Clemmens, A. J. 1996. Farmer irrigation scheduling: A case study in Arizona. 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.97-102.
Irrigation scheduling ; Decision making ; Irrigation practices ; Farm management ; Cotton ; Water stress ; Case studies / USA / Arizona
(Location: IWMI-HQ Call no: 631.7.1 G000 CAM Record No: H020569)

8 Bautista, E.; Clemmens, A. J.; Strelkoff, T. 1997. Comparison of numerical procedures for gate stroking. Journal of Irrigation and Drainage Engineering, 123(2):129-136.
Open channels ; Mathematical models ; Water conveyance ; Water distribution ; Equity ; Flow regulators ; Gates ; Pumps ; Flow control
(Location: IWMI-HQ Call no: PER Record No: H021091)

9 Bautista, E.; Clemmens, A. J. 1999. Response of ASCE task committee test cases to open-loop control measures. Journal of Irrigation and Drainage Engineering, 125(4):179-188.
Canal regulation techniques ; Irrigation canals ; Water delivery ; Performance ; Gates ; Flow control ; Simulation
(Location: IWMI-HQ Call no: PER Record No: H024738)

10 Dedrick, A. R.; Bautista, E.; Clyma, W.; Levine, D. B.; Rish, S. A. 2000. The Management Improvement Program (MIP): A process for improving the performance of irrigated agriculture. Irrigation and Drainage Systems, 14(1-2):5-39.
Irrigation management ; Irrigated farming ; Sustainable agriculture ; Water conservation ; Strategic management ; Farmer participation ; Performance evaluation / USA / Central Arizona
(Location: IWMI-HQ Call no: PER Record No: H026546)

11 Dedrick, A. R.; Bautista, E.; Clyma, W.; Levine, D. B.; Rish, S. A.; Clemmens, A. J. 2000. Diagnostic analysis of the Maricopa-Stanfield Irrigation and Drainage District area. Irrigation and Drainage Systems, 14(1-2):41-67.
Diagnostic techniques ; Irrigation management ; Sustainable agriculture ; Strategic management ; Organizational development ; Water conservation
(Location: IWMI-HQ Call no: PER Record No: H026547)

12 Bautista, E.; Rish, S. A.; Le Clere, W.; Dedrick, A. R.; Levine, D. B.; Clyma, W. 2000. Lessons from the demonstration Management Improvement Program. Irrigation and Drainage Systems, 14(1-2):69-91.
Organizational development ; Irrigation management ; Performance evaluation ; Strategic management ; Sustainable agriculture ; Leadership
(Location: IWMI-HQ Call no: PER Record No: H026548)

13 Bautista, E.; Replogle, J. A.; Clemmens, A. J.; Clyma, W.; Dedrick, A. R.; Rish, S. A. 2000. Water delivery performance in the Maricopa-Stanfield Irrigation and Drainage District. Irrigation and Drainage Systems, 14(1-2):139-166.
Water delivery ; Performance ; Diagnostic analysis ; Irrigation programs ; Water demand ; Water costs ; Water rates ; Economic aspects ; Farmer-agency interactions ; Communication ; Water control ; Open channels ; Irrigation canals ; Water measurement / USA / Arizona / Maricopa-Stanfield
(Location: IWMI-HQ Call no: PER Record No: H026551)

14 Clemmens, A. J.; Bautista, E.; Wahlin, B. T.; Strand, R. J. 2005. Simulation of automatic canal control systems. Journal of Irrigation and Drainage Engineering, 131(4):324-335.
Irrigation canals ; Open channels ; Flow control ; Simulation models ; Water distribution
(Location: IWMI-HQ Call no: PER Record No: H037981)

15 Bautista, E.; Clemmens, A. J. 2005. Volume compensation method for routing irrigation canal demand changes. Journal of Irrigation and Drainage Engineering, 131(6):494-503.
Irrigation canals ; Water demand ; Open channels ; Flow control ; Gates ; Irrigation scheduling ; Simulation models
(Location: IWMI-HQ Call no: PER Record No: H038489)

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