Abstract
Monte-Carlo simulation was used to determine the suitability of statistical equations for estimating theinfluence of soil surface elevations on the low-quarter distribution uniformity, DUlq, of level-basin irrigation systems. Itwas shown that these equations give reasonable estimates of DUlq, provided that the advance curve is known. The Monte-Carlo simulations also provided an estimate of the variation in DUlq for different fields with the same standard deviationof elevations. The statistical equations demonstrate that irrigation uniformity is influenced by the ratio of soil surfaceelevation standard deviation to average depth infiltrated. For conditions that would be typical of laser-leveled basinswithin the U.S., the influence of elevation variations on DUlq is small. However, for poorly leveled fields, as frequentlyoccur in Egypt, these elevation variations can significantly reduce DUlq, thus limiting potential efficiencies. In somecases, these simple equations can be used to adjust level-basin designs to account for the variation in surface elevationswithout the need for extensive simulation studies.
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