Spatial and temporal analysis of the distribution of bacterial contamination in nearshore areas of Southern Vancouver Island

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dc.contributor.authorXu, Kaifeng
dc.contributor.supervisorValeo, C.
dc.date.accessioned2018-09-19T16:17:21Z
dc.date.available2018-09-19T16:17:21Z
dc.date.copyright2018en_US
dc.date.issued2018-09-19
dc.degree.departmentDepartment of Mechanical Engineeringen_US
dc.degree.levelMaster of Applied Science M.A.Sc.en_US
dc.description.abstractThis research conducts a spatial and temporal analysis of the distribution of fecal coliform throughout the Capital Regional District (CRD) of southern Vancouver Island. The research is based on 17 years of historical data of stormwater samplings from 1995 to 2011 in the nearshore region. ArcGIS is used to map the fecal coliform data collected within and adjacent to nearshore areas to identify peaks above a regulated threshold. Heavily polluted areas are in Victoria downtown, Esquimalt and the southeastern shore of Oak Bay. Land-use data and drainage patterns are used to determine relationships between fecal coliform levels and land-use by considering relevant, temporally dependent factors. Temperature is positively correlated with FC level and precipitation is negatively correlated. The residential land use is identified as the main source of bacterial contamination. This analysis leads to a regression model that indicates two peaks (July and October) of FC level occur in a 12-month period and positively related to minimum temperature and cloud cover ratio.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/10081
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectBacterial contaminationen_US
dc.subjectStormwateren_US
dc.subjectTemporal-spatial variationsen_US
dc.subjectPeriodicity analysisen_US
dc.subjectRegression modelen_US
dc.titleSpatial and temporal analysis of the distribution of bacterial contamination in nearshore areas of Southern Vancouver Islanden_US
dc.typeThesisen_US

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