Technical Papers
Oct 25, 2017

Matrix Methodology to Study the Probability of Pressure Deficit in On-Demand Branched Irrigation Networks

Publication: Journal of Irrigation and Drainage Engineering
Volume 144, Issue 1

Abstract

This paper presents a matrix algebraic expression based on the probability of pressure deficit. A set of expressions to calculate the average and the variance of the aggregated head losses in any pathway of the irrigation network is proposed, and the probability law of the aggregated head losses is deduced. A methodology to design and manage on-demand branched irrigation networks based on the probability of pressure deficit is developed. The proposed methodology corrects some weak points detected in previous methods related to the probability of pressure deficit concerning certain sections with large head losses. The methodology is tested in two networks (one simulated and one real network belonging to the Canal de Estremera Irrigation District). The resulting data show the capability of the methodology to model the simulations. The results also show that when designing the network with the proposed methodology, the total cost of the project decreases and management of the network becomes more efficient compared with certain traditional methods for irrigation network design.

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Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 144Issue 1January 2018

History

Received: Dec 15, 2016
Accepted: Jun 29, 2017
Published online: Oct 25, 2017
Published in print: Jan 1, 2018
Discussion open until: Mar 25, 2018

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Sergio Zubelzu, Ph.D. [email protected]
Assistant Professor, Departamento de Ingeniería Agroforestal, Escuela Técnica Superior de Ingeniería, Agronómica, Alimentaria y Biosistemas, Universidad Politécnica de Madrid, Ciudad Universitaria s/n, 28040 Madrid, Spain (corresponding author). E-mail: [email protected]
Raul Sánchez, Ph.D. [email protected]
Professor, Departamento de Ingeniería Agroforestal, Escuela Técnica Superior de Ingeniería, Agronómica, Alimentaria y Biosistemas, Universidad Politécnica de Madrid, Ciudad Universitaria s/n, 28040 Madrid, Spain. E-mail: [email protected]
Luis Juana, Ph.D., M.ASCE [email protected]
Professor, Departamento de Ingeniería Agroforestal, Escuela Técnica Superior de Ingeniería, Agronómica, Alimentaria y Biosistemas, Universidad Politécnica de Madrid, Ciudad Universitaria s/n, 28040 Madrid, Spain. E-mail: [email protected]

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