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Optimal irrigation management strategy under hydrologic and irrigation efficiency uncertainty regimes Item Info

The irrigation efficiency concept is crucial in irrigation systems design, planning, and management. It is used in determining total irrigation water requirements and in sizing the irrigation system components. Irrigation efficiency is not a deterministic parameter; the occurrence and sequencing cannot be predicted with complete reliability. Realistically, it is a probabilistic phenomenon subject to large spatial and time variabilities, and hence uncertain. A Bayesian decision theory optimization model was developed that explicitly incorporated the uncertainties inherently associated with the probabilistic hydrologic and irrigation efficiency phenomena. Specifically, the model selected that optimum acreage to be seasonally committed to irrigation, controlled by those probabilistic events in conjunction with the irrigators' risk and uncertainty response characteristics. The developed model was applied to the Wood River Valley Irrigation District No. 45, located in Blaine County, Idaho. Major inputs into the model included stochastic irrigation diversions, probabilistic irrigation efficiency regimes, three crop response functions, utility functions, irrigated crop production cost and crop price functions, consumptive use and seasonal crop yield coefficients. Both single and multi-crop systems were modeled under an unimproved gravity irrigation system.

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Title:
Optimal irrigation management strategy under hydrologic and irrigation efficiency uncertainty regimes
Authors:
Udeh, Charles Nwachukwu
Date Created (ISO Standard):
1978-04
Description:
The irrigation efficiency concept is crucial in irrigation systems design, planning, and management. It is used in determining total irrigation water requirements and in sizing the irrigation system components. Irrigation efficiency is not a deterministic parameter; the occurrence and sequencing cannot be predicted with complete reliability. Realistically, it is a probabilistic phenomenon subject to large spatial and time variabilities, and hence uncertain. A Bayesian decision theory optimization model was developed that explicitly incorporated the uncertainties inherently associated with the probabilistic hydrologic and irrigation efficiency phenomena. Specifically, the model selected that optimum acreage to be seasonally committed to irrigation, controlled by those probabilistic events in conjunction with the irrigators' risk and uncertainty response characteristics. The developed model was applied to the Wood River Valley Irrigation District No. 45, located in Blaine County, Idaho. Major inputs into the model included stochastic irrigation diversions, probabilistic irrigation efficiency regimes, three crop response functions, utility functions, irrigated crop production cost and crop price functions, consumptive use and seasonal crop yield coefficients. Both single and multi-crop systems were modeled under an unimproved gravity irrigation system.
Subjects:
irrigation efficiency irrigation requirements hydrologic models
Location:
Blaine County
Latitude:
43.55
Longitude:
-113.96
Collection:
IWRRI
IWRRI number:
197810
Rights:
Rights to the digital resource are held by the University of Idaho. http://www.uidaho.edu/
Publisher:
University of Idaho
Contributing Institution:
University of Idaho
Type:
Text
Format:
application/pdf
Cataloger:
wbv
Date Digitized:
2012

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Source
Preferred Citation:
"Optimal irrigation management strategy under hydrologic and irrigation efficiency uncertainty regimes", Idaho Waters Digital Library, University of Idaho Library Digital Collections, https://www.lib.uidaho.edu/digital/iwdl/items/iwdl-197810.html
Rights
Rights:
Rights to the digital resource are held by the University of Idaho. http://www.uidaho.edu/
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