TECHNICAL PAPERS
Mar 18, 2009

Field Calibration of Submerged Sluice Gates in Irrigation Canals

Publication: Journal of Irrigation and Drainage Engineering
Volume 135, Issue 6

Abstract

Four rectangular sluice gates were calibrated for submerged-flow conditions using nearly 16,000 field-measured data points on Canal B of the B-XII irrigation scheme in Lebrija, Spain. Water depth and gate opening values were measured using acoustic sensors at each of the gate structures, and the data were recorded on electronic data loggers. Several gate calibration equations were tested and it was found that the rectangular sluice gates can be used for accurate flow measurement. The Energy-Momentum (E-M) equations proved to be sound. The calibration of the contraction coefficient, to be used in the energy equation, allowed good estimations of the discharge for three of the four gates studied. The gate for which the E-M method did not perform satisfactorily was located at the head of the canal with a unique nonsymmetric approach flow condition. Alternatively, we investigated the performance of the conventional discharge equation. The variation of the discharge coefficient, Cd , with the head differential, Δh , and the vertical gate opening, w , suggests that Cd be expressed as a function of these two variables. For the sluice gates considered in this study, the best empirical fit was obtained by expressing Cd as a parabolic function of w , although an exponential expression tested previously by other writers also produced satisfactory results. The greatest uncertainty in the variables considered in this study was in the calculated coefficient of discharge, and based on the uncertainty analysis, it is possible to quantify the uncertainty in the estimated discharge through a calibrated sluice gate. The discharge uncertainty in each of the four gates in this study decreases with increasing gate opening, and it decreases slightly with increasing head differentials.

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Acknowledgments

This study was supported by the research projects “Control y automatización de canales de riego,” funded by Instituto Andaluz de Reforma Agraria (Junta de Andalucía, Spain), and “Teledetección para la gestión sostenible del riego,” funded by INIA, Ministry of Education and Science, Spain.

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Published In

Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 135Issue 6December 2009
Pages: 763 - 772

History

Received: Apr 8, 2008
Accepted: Mar 15, 2009
Published online: Mar 18, 2009
Published in print: Dec 2009

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Authors

Affiliations

David Lozano [email protected]
Ph.D. Researcher, Instituto de Agricultura Sostenible, CSIC, Alameda del Obispo s/n, Córdoba 14005, Spain. E-mail: [email protected]
Luciano Mateos [email protected]
Research Scientist, Instituto de Agricultura Sostenible, CSIC, Alameda del Obispo s/n, Córdoba 14005, Spain (corresponding author). E-mail: [email protected]
Gary P. Merkley [email protected]
Professor, Dept. of Biological and Irrigation Engineering, Utah State Univ., Logan, UT 84322-4105 E-mail: [email protected].
Albert J. Clemmens [email protected]
Director, U.S. Arid Land Agricultural Research Center, 21881 North Cardon Ln., Maricopa, AZ 85238. E-mail: [email protected]

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