Investigating Drinking Water Advisories in First Nations Communities through Data Mining

dc.contributor.advisorMcBean, Edward
dc.contributor.authorThompson, Emma of Engineeringen_US of Guelphen_US of Applied Scienceen_US
dc.description.abstractMaintaining acceptable drinking water quality is a challenge in Canadian First Nations communities, and many residents experience frequent drinking water advisories (DWAs). In this research, detailed information about drinking water systems on reserves was combined with historical advisory data to investigate the relationships between system attributes and DWAs using data mining. Decision trees were developed to identify key factors linked to the occurrence, frequency, duration and causes of advisories. The results showed that trends varied considerably by province, despite being federally managed. Operator treatment certification was found to be associated with the duration of advisories, where systems with fully trained operators were less likely to have long-lasting DWAs. The findings from data mining can be useful for informing future regulatory and funding decisions. This study also emphasized the need for maintaining an up-to-date record of First Nations system information to close existing data gaps.en_US
dc.publisherUniversity of Guelphen_US
dc.rights.licenseAll items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated.
dc.subjectdrinking water advisoryen_US
dc.subjectdata miningen_US
dc.subjectdecision treeen_US
dc.subjectFirst Nationsen_US
dc.titleInvestigating Drinking Water Advisories in First Nations Communities through Data Miningen_US


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