A statistical investigation of how slope affects a wildfire's rate of spread
department or school: Science, Irving K. Barber Faculty of (Okanagan)
department or school: Computer Science, Mathematics, Physics and Statistics, Department of (Okanagan)
data provider: DSpace
degree campus: UBCO
creator: Goetz, Geoffrey Owen
issued: 2021-10-22T22:24:44Z
issued: 2021
related degree: Master of Science - MSc
degree grantor: University of British Columbia
description: Modelling wildfire spread from data collected on various slopes and across different fuel types is an important way to understand how different parameters influence the speed at which these fires travel. Fitting this data to statistical models could be used to provide accurate fire spread predictions and can influence the way in which fire fighters may combat a wildfire. The objective of this thesis is to establish a model that describes the influence of slope on a fire's resulting rate of spread in three different fuel types. We present the analysis of data from both small scale experimental fires and test burns conducted in the field in a natural landscape. We use non-linear regression and generalized additive models to create this model, using current rate of spread models as our foundation. An analysis on the influence of slope on the rate of spread travelling downhill at the heel end of a fire is also provided.
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/80034
note: A Statistical Investigation of howSlope affects a Wildfire’s Rate ofSpreadbyGeo↵rey Owen GoetzB.Sc., The University of British Columbia Okanagan, 2021A THESIS SUBMITTED IN PARTIAL FULFILLMENT OFTHE REQUIREMENTS FOR THE DEGREE OFMASTER OF SCIENCEinTHE COLLEGE OF GRADUATE STUDIES(Mathematics)THE UNIVERSITY OF BRITISH COLUMBIA(Okanagan)October 2021© Geo↵rey Owen Goetz, 2021The undersigned certify that they have read, and recommend to theCollege of Graduate Studies for acceptance, a thesis entitled: A Statis-tical Investigation of how Slope affects a Wildfire’s Rate ofSpread submitted by Geoffrey Owen Goetz in partial fulfilment of therequirements of the degree of Master of ScienceDr. W. John Braun, Irving K. Barber Faculty of Science - CMPSSupervisor, Professor (please print name and faculty/school above the line)Dr. Rebecca Tyson, Irving K. Barber Faculty of Science - CMPSSupervisory Committee Member, Professor (please print name and faculty/school abovethe line)Dr. Warren Hare, Irving K. Barber Faculty of Science - CMPSSupervisory Committee Member, Professor (please print name and faculty/school abovethe line)Dr. David Scott, Irving K. Barber Faculty of Science - EEGSUniversity Examiner, Professor (please print name and faculty/school above the line)October 2021(Date Submitted to Grad Studies)Additional Committee Members include:Dr. Je↵ Andrews, Irving K. Barber Faculty of Science - CMPS(please print name and faculty/school above the line)Dr. Lael Parrot, Irving K. Barber Faculty of Science - Biology(please print name and faculty/school above the line)iiAbstractModelling wildfire spread from data collected on various slopes andacross di↵erent fuel types is an important way to understand how di↵er-ent parameters influence the speed at which these fires travel. Fitting thisdata to statistical models could be used to provide accurate fire spreadpredictions and can influence the way in which fire fighters may combat awildfire. The objective of this thesis is to establish…
has type: Thesis/Dissertation
date issued: 2021-11
is shown at: 10.14288/1.0402582
language: eng
degree discipline: Mathematics
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NonCommercial-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nc-nd/4.0/
scholar level: Graduate
contributor: Braun, John, 1963-
contributor: Tyson, Rebecca
type: Text
identifier URI: http://hdl.handle.net/2429/80034