Technical Papers
Jan 12, 2015

Economic Analysis Approach for Identifying Optimal Microirrigation Uniformity

Publication: Journal of Irrigation and Drainage Engineering
Volume 141, Issue 8

Abstract

Nonuniform pressure of microirrigation systems negatively impacts crop productivity, water utilization, and nonpoint source pollution. However, achieving network pressure uniformity can be prohibitively expensive. This paper presents an economic optimization method that seeks to balance competing costs and benefits. A custom computer software script is developed to implement the method and an irrigation case study is presented. Regression analysis showed that the relationship between economic efficiency and Christiansen uniformity (CU) is a cubic function with an optimum uniformity (i.e., in reference to CU) at 0.78 for cotton and 0.86 for olive trees. The results also indicate that water cost is the most important factor influencing total cost and economic efficiency, and next is capital cost. Also, irrigation systems with a relatively small subunit size (0.1–0.42 ha for cotton and 0.72–2.16 ha for olive) commonly lead to a high economic efficiency. Finally, to guarantee adequate uniformity, the most efficient microirrigation system design will necessarily use the smallest possible size of the manifold.

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Acknowledgments

The research reported in this paper was financially supported by the National Science and Technology Support Program (2011BAD29B02), the 111 project (B12007) and the West Light Foundation of the Chinese Academy of Sciences.

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Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 141Issue 8August 2015

History

Received: May 28, 2014
Accepted: Dec 4, 2014
Published online: Jan 12, 2015
Discussion open until: Jun 12, 2015
Published in print: Aug 1, 2015

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Authors

Affiliations

Jian Wang
Ph.D. Student, College of Water Resources and Architectural Engineering, Northwest A&F Univ., Yangling, Shaanxi 712100, China.
Professor, College of Water Resources and Architectural Engineering, Northwest A&F Univ., Yangling, Shaanxi 712100, China (corresponding author). E-mail: [email protected]
Lin Zhang
Research Assistant Professor, National Engineering Research Center for Water Saving Irrigation, Yangling, Shaanxi 712100, China.
Daniel P. Ames
Associate Professor, Civil and Environmental Engineering, Brigham Young Univ., Provo, UT 84602.

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