Sequential Irrigation Scheduling Avoiding Night Irrigation
Publication: Journal of Irrigation and Drainage Engineering
Volume 143, Issue 7
Abstract
The sequential irrigation scheduling problem is one where a set of irrigation jobs have to be scheduled sequentially. In this paper, an integer program is presented to solve this problem. The objective function is a dual-goal function that avoids night irrigation and minimizes earliness or tardiness, with the former objective taking priority over the latter. A scheduled start time cost function is introduced and is user defined to reflect the behavior and preferences (and aversions) of farmers. In this paper, the scheduled start time cost function is a piecewise linear function and uses techniques from operations research. It is linearized using the disjunctive method. The integer program is implemented in a general-purpose solver and applied to a 16-job problem to demonstrate that a schedule can be prepared that avoids night irrigation and minimizes earliness and tardiness. There is a trade-off between avoiding night irrigation and earliness and tardiness compared to earlier models that minimize only earliness and tardiness. However, the increase in earliness and tardiness for the example presented is modest.
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Acknowledgments
The International Water Management Institute (IWMI) acknowledges the financial support from the Embassy of the Kingdom of Netherlands, Islamabad, Pakistan, through Grant #22294 and the CGIAR Research Program on Water, Land, and Ecosystems (WLE), which were used in part to support this study. The study design, data collection, analysis, and interpretation of the results are exclusively those of the authors and do not necessarily represent the views or opinion of IWMI.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 143 • Issue 7 • July 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Jul 28, 2016
Accepted: Nov 28, 2016
Published online: Feb 17, 2017
Published in print: Jul 1, 2017
Discussion open until: Jul 17, 2017
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