Optimal Crop Planning and Conjunctive Use of Surface Water and Groundwater Resources Using Fuzzy Dynamic Programming
Publication: Journal of Irrigation and Drainage Engineering
Volume 137, Issue 6
Abstract
Optimal crop planning and the conjunctive use of surface water and groundwater resources are imperative for the sustainable management of water resources, especially in semiarid regions. In recent years, considerable attention has been given to crop planning and water resources management under uncertainties caused by climate changes that affect irrigation planning in terms of decisions to determine the amounts of water that can/must be allocated. In this paper, optimal crop planning and conjunctive use of surface water and groundwater are developed for the Najafabad Plain, a part of the Zayandehrood River basin in west-central Iran. The fuzzy inference system (FIS) is used to account for the experience and expert judgments of decision makers and farmers to obtain optimal crop planning and cultivation with a reliable water demand based on climate conditions. In the present work, fuzzy regression is used for considering uncertainty and ambiguity in the data used in the simulation model as well as the uncertainties in interactions between surface water and groundwater. The objective function of the optimization model is to minimize shortages in supplying irrigation demands. The results are applicable to a wide range of climate conditions.
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Acknowledgments
The authors wish to thank the UNSPECIFIEDIsfahan Regional Water Company for its financial support and for providing the data. The authors are also thankful to Prof. Ahmad Abrishamchi, the editor, and the anonymous reviewers for very insightful comments and suggestions that were helpful in improving this paper.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 137 • Issue 6 • June 2011
Pages: 383 - 397
Copyright
© 2011 American Society of Civil Engineers.
History
Received: Dec 19, 2009
Accepted: Oct 5, 2010
Published online: Oct 7, 2010
Published in print: Jun 1, 2011
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