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dc.contributor.supervisor Walker, David (Environment and Geography) en_US
dc.contributor.author Howells, Angela
dc.date.accessioned 2016-09-16T17:33:50Z
dc.date.available 2016-09-16T17:33:50Z
dc.date.issued 2016
dc.identifier.uri http://hdl.handle.net/1993/31800
dc.description.abstract The high frequency and cost of flooding in Canada has demonstrated the need for effective risk assessment (Public Safety Canada (PSC), 2010). In response to this need, the United States Federal Emergency Management Agency (FEMA) developed HAZUS, a hazard risk assessment tool which relies on a geographic information system (GIS) (FEMA, 2015). Unfortunately, in many rural communities in Canada, only aggregate population data may be available. In those cases, the ability to further partition aggregated data may prove essential in generating robust and accurate risk assessments. The results of this study show that HAZUS can be adapted for use in Canada and provides a new methodology for conducting hazard estimations in areas where available data is coarsely aggregated. There was a strong relationship between nighttime light and population density. High populations were associated with developed land cover classification. These relationships can be used to increase the accuracy of HAZUS predictions. en_US
dc.subject HAZUS en_US
dc.subject Dasymetric approach en_US
dc.subject Dasymetric en_US
dc.subject Dasymetric stratification en_US
dc.subject Land use classification en_US
dc.subject Nighttime light en_US
dc.subject Night-time light en_US
dc.subject Night time light en_US
dc.subject Risk assessment en_US
dc.subject Flood en_US
dc.subject Flood risk assessment en_US
dc.subject Emergency planning and management en_US
dc.subject Emergency planning en_US
dc.title Dasymetric stratification of a flood plain: development and refinement of the HAZUS flood mapping tool for Canada en_US
dc.degree.discipline Environment and Geography en_US
dc.contributor.examiningcommittee Baydack,Rick (Environment and Geography) Haque, C. Emdad (Natural Resources Institute) en_US
dc.degree.level Master of Science (M.Sc.) en_US
dc.description.note October 2016 en_US


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