New Methodology to Evaluate Flow Rates in On-Demand Irrigation Networks
Publication: Journal of Irrigation and Drainage Engineering
Volume 133, Issue 4
Abstract
Although Clément methodology is the most commonly used model for obtaining the design flow rate in on-demand irrigation networks, studies have shown that the Clément methodology does not always fit properly. A new stochastic methodology is proposed in this paper [random daily demand curve (RDDC)], in order to achieve a more accurate design flow. Results from Clément and the proposed RDDC methodology are compared to measured flow data in an on-demand irrigation network located in Tarazona de La Mancha (Albacete, Spain). RDDC is shown to have a better fit with the measured data compared to the Clément methodology, which underestimated the design flow by 35%–40%. RDDC methodology avoids the problem of using average opening hydrant probability, resulting in a better estimation of the network behavior.
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Acknowledgments
This research work was funded by the Spanish Ministry through the R and D Plan of Science and Technology, and included within the project “Manejo eficiente del agua de riego y la energía en zonas semiaridas (ref AGL2001-1180-C02-01).”
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Information & Authors
Information
Published In
Journal of Irrigation and Drainage Engineering
Volume 133 • Issue 4 • August 2007
Pages: 298 - 306
Copyright
© 2007 ASCE.
History
Received: Dec 28, 2005
Published online: Aug 1, 2007
Published in print: Aug 2007
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