{"id":{"repo_id":"calpoly","oai_identifier":"oai:digitalcommons.calpoly.edu:theses-3296"},"canonical_url":"https://search.dev.ndltd.org/etd/calpoly/oai:digitalcommons.calpoly.edu:theses-3296","repository":{"repo_id":"calpoly","name":"Cal Poly","base_url":"https://digitalcommons.calpoly.edu/do/oai/"},"display":{"title":"An Assessment of the Greatest Impacts on Distribution Uniformity for Drip and Micro Irrigation","abstract":"<p>Using the Cal Poly Irrigation Training and Research Centers (ITRC) drip/micro evaluation program, global, or system, DU<sub>lq</sub> is computed by combining the component DU<sub>lq</sub> 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.</p>","abstract_html":"&lt;p&gt;Using the Cal Poly Irrigation Training and Research Centers (ITRC) drip/micro evaluation program, global, or system, DU&lt;sub&gt;lq&lt;/sub&gt; is computed by combining the component DU&lt;sub&gt;lq&lt;/sub&gt; 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.&lt;/p&gt;","abstract_has_math":false,"creators":["Worden, Brooke Ashley"],"institution":null,"degree_name":"MS in Agriculture - Irrigation","degree_level":null,"degree_discipline":"Bioresource and Agricultural Engineering","degree_department":null,"school":null,"contributors":["Franklin Gaudi"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-09-01T07:00:00Z","date_published":"2018-09-01T07:00:00Z","updated_at":"2026-07-24T01:32:08Z","subjects":["Distribution Uniformity","Irrigation","Drip","Micro","Agriculture","Bioresource and Agricultural Engineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["10.15368/theses.2018.119"],"render_values":[{"text":"10.15368/theses.2018.119","href":"https://doi.org/10.15368/theses.2018.119","code":true}]}]},"links":{"outbound_url":"https://digitalcommons.calpoly.edu/theses/1942","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Franklin Gaudi"]},{"key":"dc:creator","label":"Author","values":["Worden, Brooke Ashley"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2018-09-05T07:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Bioresource and Agricultural Engineering"]},{"key":"thesis:degree_name","label":"Degree Name","values":["MS in Agriculture - Irrigation"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Distribution Uniformity","Irrigation","Drip","Micro","Agriculture","Bioresource and Agricultural Engineering"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://digitalcommons.calpoly.edu/theses/1942","10.15368/theses.2018.119"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>Using the Cal Poly Irrigation Training and Research Centers (ITRC) drip/micro evaluation program, global, or system, DU<sub>lq</sub> is computed by combining the component DU<sub>lq</sub> 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.</p>"]},{"key":"dc:title","label":"Title","values":["An Assessment of the Greatest Impacts on Distribution Uniformity for Drip and Micro Irrigation"]}]}],"canonical_facts":{"dc:contributor":["Franklin Gaudi"],"dc:creator":["Worden, Brooke Ashley"],"dc:date.available":["2018-09-05T07:00:00Z"],"dc:description.abstract":["<p>Using the Cal Poly Irrigation Training and Research Centers (ITRC) drip/micro evaluation program, global, or system, DU<sub>lq</sub> is computed by combining the component DU<sub>lq</sub> 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.</p>"],"dc:identifier":["https://digitalcommons.calpoly.edu/theses/1942","10.15368/theses.2018.119"],"dc:subject":["Distribution Uniformity","Irrigation","Drip","Micro","Agriculture","Bioresource and Agricultural Engineering"],"dc:title":["An Assessment of the Greatest Impacts on Distribution Uniformity for Drip and Micro Irrigation"],"thesis:degree_discipline":["Bioresource and Agricultural Engineering"],"thesis:degree_name":["MS in Agriculture - Irrigation"]},"updated_at":"2026-07-24T01:32:08Z"}