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TitleData preparation for validation study of Hazus Canada flood model
AuthorMcGrath, H; Stefanakis, E; McCarthy, M; Nastev, M
SourceProceedings of the 10th International Conference of the International Institute for Infrastructure Resilience and Reconstruction (I3R2); by Rapp, R R (ed.); Harland, W (ed.); 2014 p. 14-21, https://doi.org/10.5703/1288284315355
Year2014
Alt SeriesEarth Sciences Sector, Contribution Series 20140300
PublisherInternational Institute for Infrastructure, Renewal and Reconstruction
Meeting10th International Conference of the International Institute for Infrastructure Resilience and Reconstruction; West Lafayette, Indiana; USA; May 20-22, 2014
Documentbook
Lang.English
Mediapaper; digital; on-line
File formatpdf
ProvinceNew Brunswick
NTS21G/15; 21J/02
AreaFredericton; Saint John River
Lat/Long WENS-67.0000 -66.5000 46.2500 45.7500
Subjectssurficial geology/geomorphology; health hazards; floods; flood potential; precipitation; models; Hazus; geological hazards
Illustrationslocation maps; flow charts; photographs; tables
ProgramQuantitave risk assessment project, Public Safety Geoscience
AbstractAs our climate changes the occurrence of extreme weather events and heavier rainfall is becoming more common. This change in weather patterns and precipitation is resulting in a greater number of recorded flood events and larger magnitude of flood events. Canadian municipalities are therefore facing a pressing need to perform risk assessments to identify communities at risk and measure potential economic and societal losses due to flood events. Federal Emergency Management Agency (FEMA) developed a standardized tool, Hazus-MH, for loss estimation from natural disasters for use in the USA. Recently Hazus has been adapted for use in Canada. This paper introduces the Hazus Flood loss assessment model and the adaption and development required for the Canadian Hazus release. Furthermore, the steps followed with respect to data acquisition and preparation of the required exposure and hazard input data and attribute translation methodology to conform to Hazus classifications for the pilot study in Fredericton (NB) is presented. A subsequent paper will report the flood model results and compare them to actual expenditures from the 2008 flood in Fredericton to verify the robustness of the model, depth damage curves, and parameters employed.
Summary(Plain Language Summary, not published)
Canadian municipalities are facing a pressing need to perform risk assessments to identify potential economic and societal losses due to flood events. This paper presents the steps followed with respect to data acquisition and preparation of the required exposure and hazard input data for Fredericton (NB).
GEOSCAN ID295518