Field-based statistical modelling of snow avalanche runout

atmire.migration.oldid1341
dc.contributor.advisorJamieson, Bruce
dc.contributor.authorSinickas, Alexandra
dc.date.accessioned2013-09-13T18:08:01Z
dc.date.available2013-11-12T08:00:10Z
dc.date.issued2013-09-13
dc.date.submitted2013en
dc.description.abstractExtreme snow avalanche runout estimates are critical in assessing avalanche risk. Statistical models estimate the extreme (100 to 300 year) runout position using the point where the slope reaches ten degrees (β point) during descent. Two aspects of statistical models have changed since initial development. First, digital elevations models (DEMs) are increasingly used to determine β points in place of traditional field surveys. Second, a new model (Space-Time) was developed, which determines interim (< 100 year) runout positions. This research sought to 1) determine the DEM resolution equivalent to a field survey and 2) validate the Space-Time model. Analysis was based on terrain and vegetation observations from 94 avalanche paths in western Canada. A ten-metre resolution was found to best represent a field survey. The Space-Time model appeared to generate conservative estimates, and was most successful within the Rocky Mountains. Limitations arose from small datasets and uncertainty surrounding vegetation analysis.en_US
dc.identifier.citationSinickas, A. (2013). Field-based statistical modelling of snow avalanche runout (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/26174en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/26174
dc.identifier.urihttp://hdl.handle.net/11023/953
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectCivil
dc.subject.classificationsnow avalanchesen_US
dc.subject.classificationstatistical modellingen_US
dc.subject.classificationvegetation damageen_US
dc.titleField-based statistical modelling of snow avalanche runout
dc.typemaster thesis
thesis.degree.disciplineCivil Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
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