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Investigating Drinking Water Advisories in First Nations Communities through Data Mining

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dc.contributor.advisor McBean, Edward Thompson, Emma 2016-09-16T12:55:09Z 2016-09-16T12:55:09Z 2016-09 2016-09-08 2016-09-16
dc.description.abstract Maintaining 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.language.iso en en_US
dc.publisher University of Guelph en_US
dc.subject drinking water advisory en_US
dc.subject data mining en_US
dc.subject decision tree en_US
dc.subject First Nations en_US
dc.subject Canada en_US
dc.title Investigating Drinking Water Advisories in First Nations Communities through Data Mining en_US
dc.type Thesis en_US Engineering en_US Master of Applied Science en_US School of Engineering en_US
dc.rights.license All items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated. University of Guelph en_US

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