DOI: https://doi.org/10.15368/theses.2018.119
Available at: https://digitalcommons.calpoly.edu/theses/1942
Date of Award
9-2018
Degree Name
MS in Agriculture - Irrigation
Department/Program
Bioresource and Agricultural Engineering
Advisor
Franklin Gaudi
Abstract
Using the Cal Poly Irrigation Training and Research Centers (ITRC) drip/micro evaluation program, global, or system, DUlq is computed by combining the component DUlq values of: pressure variation, uneven spacing between emitters, unequal drainage and “other” causes. “Other” causes include plugging, wear and manufacturing coefficient. The program also computes what percentage of the non-uniformity is due to each component. Burt (2004) showed that over 95% of the non-uniformity is due to “Other” causes and pressure differences. This thesis looks at what specifically in those components is driving the non-uniformity by analyzing various equipment and field practices and their impact on the distribution uniformity. A regression analysis is used to analyze trends in distribution uniformity in an open environment. The results indicate that more information, specifically water quality, is needed to better analyze which components influence the distribution uniformity of a system.