Article ID Journal Published Year Pages File Type
1710977 Biosystems Engineering 2015 14 Pages PDF
Abstract

•Simplified empirical model developed to predict the optimum lateral lengths.•Model accounts for the 98.3% of the variation in the optimum lengths.•Model is valid for cylindrical in-line type, non-pressure compensating emitters.•Model valid for 16 mm diameter pipes and ±3% downhill to uphill slope conditions.•Model can be used to calculate optimum lateral lengths without using specialist software.

Accurate hydraulic design of laterals is one of the most important factors for ensuring water distribution uniformity in drip irrigation systems. In order to keep water distribution uniformity at an appropriate value, pressure and flow rate variations of emitters along a lateral should be within acceptable limits. This makes the determination of the optimum lateral lengths for drip irrigation systems necessary. The objective of this study was to develop a simplified empirical model able to predict the optimum lateral length to obtain uniform water distribution. The model developed is valid for a 16 mm nominal pipe diameter, with cylindrical co-extruded emitters and emitter spacing ranging from 0.2 m to 1 m. Optimum lateral length data was obtained from 26 different drip irrigation pipes. The model developed accounted for 98.3% of the variation in the optimum lateral lengths. The model was obtained by considering pipes with inside diameters ranging from 12.3 to 14.2 mm, emitter inside diameters ranging from 11.5 to 12.6 mm, emitter lengths ranging from 31.6 to 68.2 mm, emitter spacing ranging between 0.2 and 1.0 m, emitter discharges ranging from 1.75 to 4.30 l h−1, and emitter flow variations from 10 % to 20 %, with gradients extending downhill or uphill <3%. The errors in the optimum lateral lengths increased with 3% downhill gradients for 0.75 and 1.0 m emitter spacing. The prediction model can be used to calculate the optimum lateral lengths without using any software.

Related Topics
Physical Sciences and Engineering Engineering Control and Systems Engineering
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