Development of prediction models for friction losses in drip irrigation laterals equipped with integrated in-line and on-line emitters using dimensional analysis

WOS: 000245890600018This paper presents models developed to predict friction head losses in drip irrigation laterals. Some domestic and imported drip irrigation laterals equipped with integrated in-line and on-line emitters placed at different spacings ranging from 0.2 and 1 m were considered in this study. The parameters affecting the variation in friction head losses in laterals were defined as dimensionless terms using Buckingham's Pi theorem. Two mathematical models were developed in this study. In order to develop a model for integrated in-line emitters, experimental friction head losses data from 16 different drip irrigation pipes with above-mentioned spacings were used and the model developed accounted for 98.53% of the variation in the data. Another model developed was for predicting the friction head losses in laterals with on-line emitters. For the development of a model, experimental friction head losses data from six different drip irrigation pipes equipped with on-line emitters with above-mentioned spacings were used. The model developed for on-line emitters was able to explain the 98.76% of the variation in the data collected in the laboratory. The developed models in this study for in-line and on-line emitters were compared against the models available in the literature in terms of total friction head losses and lateral lengths. It was found that the total friction head loss differences between the developed model and the model existing in the literature were small and varied between -1.7% and +1.7% for in-line emitters while the same comparison for on-line emitters indicated a range between -0.9 and +1.9%. The results showed that the developed mathematical models may be used to determine the friction head losses in drip laterals with integrated in-line and on-line emitters placed on laterals at different spacings ranging from 0.2 to 1 m. (c) 2007 IAgrE. All rights reserved. Published by Elsevier Ltd