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TitleUsing GIS to map seismic site classes and assess structural vulnerability
AuthorSaatcioglu, M; Sawada, M; Crow, H
Source 2010.
Year2010
Alt SeriesEarth Sciences Sector, Contribution Series 20100268
MeetingESRI Canada Ottawa User Conference; Ottawa; CA; October 19-20, 2010
Documentcomputer file
Lang.English
Mediadigital
RelatedThis publication is related to Hunter, J A; Crow, H L; Brooks, G R; Pyne, M; Motazedian, D; Lamontagne, M; Pugin, A J -M; Pullan, S E; Cartwright, T; Douma, M; Burns, R A; Good, R L; Kaheshi-Banab, K; Caron, R; Kolaj, M; Folahan, I; Dixon, L; Dion, K; Duxbury, A; Landriault, A; Ter-Emmanuil, V; Jones, A; Plastow, G; Muir, D; (2010). Seismic site classification and site period mapping in the Ottawa area using geophysical methods, Geological Survey of Canada, Open File 6273
File formatpdf
ProvinceOntario
NTS31G/07
AreaOttawa; Gatineau
Lat/Long WENS-76.5000 -74.0000 46.0000 45.0000
Subjectsgeophysics; mathematical and computational geology; seismic risk; seismic interpretations; seismic arrays; seismicity; seismographs; building codes; earthquakes; landslides; computer applications; geographic information system
Illustrationscross-sections; location maps; seismic images
ProgramEastern Canada Geohazards Assessment Project, Public Safety Geoscience
Abstract(unpublished)
Seismologists and engineers in the Canadian Seismic Research Network (CSRN) are studying how seismic waves cause damage in populated areas. With help from ESRI¿s Geostatistical Analyst, a map of Ottawa was published in 2009 by CSRN and the Geological Survey of Canada (GSC) depicting the variation of expected ground shaking across Ottawa based on the type of materials found in the near surface. This map forms a digital layer, which can be used to assess the structural vulnerability of buildings and other civil engineering infrastructure using ArcGIS-based CanRISK software, developed at the University of Ottawa. Aspects of the June 23rd, 2010 M5.0 earthquake will also be discussed in relation to seismic risk for the city of Ottawa.
GEOSCAN ID287157