Biobjective Optimization for Efficient Irrigation under Fuzzy Uncertainty
Publication: Journal of Irrigation and Drainage Engineering
Volume 142, Issue 8
Abstract
A biobjective programming model is developed with fuzzy inputs in response to the complexity of conflicting objectives and uncertainties in irrigation water allocation systems. The model is capable of increasing agricultural water productivity and meanwhile reducing irrigation water shortage, compromising the concerns of both agricultural decision makers and farmers. Moreover, the developed model adequately considers the fuzzy uncertainties in parameters, constraints, and objective functions. The potential of the developed model is shown by applying to a real case study in northwest China. Results show alternative decisions for irrigation water allocation under different flow levels, and indicate that the effectiveness of the trading program is explicitly affected by uncertainties expressed as fuzziness. Comparison with a commonly used model for irrigation water allocation demonstrates the feasibility and applicability of the developed model, which is helpful for the development of water-saving high-efficiency agriculture.
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Acknowledgments
This research was supported by the Ph.D. Programs Foundation of Ministry of Education of China (No. 20130008110021), National High Technology Research and Development Program of China (863 Program) (No. 2013AA102904), and International Science & Technology Cooperation Program of China (2013DFG70990).
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Published In
Journal of Irrigation and Drainage Engineering
Volume 142 • Issue 8 • August 2016
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Nov 23, 2015
Accepted: Jan 26, 2016
Published online: Apr 7, 2016
Published in print: Aug 1, 2016
Discussion open until: Sep 7, 2016
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