1981
DOI: 10.13031/2013.34209
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Manufacturing Variation and Drip Irrigation Uniformity

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Cited by 99 publications
(6 citation statements)
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“…There were minor changes in the values of the proportionality coefficient (K) and in the flow exponent (x) as a function of variations in water temperature. According to Bralts et al (1981), the K coefficient factors are relative to the construction of the emitter and thus, the variations due to manufacturing would be embedded in the value of K. The factors inherent to the flow behavior are expressed by the flow exponent (x). The K and x coefficients were statistically significant (p ≤ 0.05) for all cases presented in Table 2.…”
Section: Resultsmentioning
confidence: 99%
“…There were minor changes in the values of the proportionality coefficient (K) and in the flow exponent (x) as a function of variations in water temperature. According to Bralts et al (1981), the K coefficient factors are relative to the construction of the emitter and thus, the variations due to manufacturing would be embedded in the value of K. The factors inherent to the flow behavior are expressed by the flow exponent (x). The K and x coefficients were statistically significant (p ≤ 0.05) for all cases presented in Table 2.…”
Section: Resultsmentioning
confidence: 99%
“…where CV f ield is the measured coefficient of flow variation in the field due to all factors, CV hyd is the flow variation due to hydraulic pressure variations, CV clog is the flow variation due to clogging, and the three sources of variation are assumed to be uncorrelated [23,35]. Assuming that all emitters are operating above their MCIPs and clogging is negligible, the last two terms under the square root would be zero and uniformity would be a function of CV m only.…”
Section: Uniformity and Cloggingmentioning
confidence: 99%
“…In addition, the emitter manufacturing variation coefficient, which affects hydraulic design, was suggested by several researchers (Anyoji & Wu, 1987;Bralts et al, 1981) and was also used as an alternative Pi term, but it was not possible to enter this dimensionless term into the model in prior statistical analysis. The model given in Eq. (3) as a theoretical form can be expressed as follows with exponential terms: …”
Section: The Simplified Prediction Modelmentioning
confidence: 99%
“…The authors considered that the inlet pressure head to a lateral line was a maximum and that the pressure head at the downstream end was a minimum. Bralts, Wu, and Gitlin (1981) derived an equation to statistically combine the effects of pressure variations and emitter manufacturing variation on the flow rate of every emitter. The overall system uniformity affected by hydraulic design, manufacturing variation and plugging was evaluated statistically.…”
Section: Introductionmentioning
confidence: 99%