Validity of the Theory of Probability in On-Demand Irrigation Networks
Publication: Journal of Irrigation and Drainage Engineering
Volume 142, Issue 11
Abstract
The experimental procedure largely verified the validity of the theory of probability in on-demand irrigation networks. The irrigation water demand, during periods of high requirement, in the region’s network of the irrigation pumping station , in the three years from 1988 to 1990, followed the five distributions: Erlang, gamma, lognormal, normal, and Weibull, in four of the total six data sets. The Erlang, gamma, lognormal, and Weibull distributions fit well to four data sets of the years from 1988 to 1990, whereas the normal distribution fits well also to four data sets but only of the two year period 1988–1989. The new demand formula approximates better the irrigation water demand in the peak consumption period. In a network with conduit of very small slope and use of self-propelled sprinklers with operating characteristics adapted to the hydraulic conditions of the network, the population of outlets may be uniform in the provision without a flow limiter, when there is discipline among the users. The same crop in the same plain area with specific local climate, small general slope, and high territorial homogeneity can significantly alter the demand for irrigation water in time, which favors the randomization of demand over time.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 142 • Issue 11 • November 2016
Copyright
© 2016 American Society of Civil Engineers.
History
Received: Jan 27, 2015
Accepted: Mar 29, 2016
Published online: Jun 9, 2016
Published in print: Nov 1, 2016
Discussion open until: Nov 9, 2016
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