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dc.contributor.supervisor Stadnyk, Tricia (Civil Engineering) en_US
dc.contributor.author Wruth, Shane
dc.date.accessioned 2014-01-14T14:31:54Z
dc.date.available 2014-01-14T14:31:54Z
dc.date.issued 2014-01-14
dc.identifier.uri http://hdl.handle.net/1993/23208
dc.description.abstract In this thesis, a landcover simulator module is developed to incorporate non-stationary landcover into the hydrological model WATFLOOD. Objectives are to quantify the uncertainty inherent in assuming landcover stationarity in the Winnipeg River basin (WRB), and to improve the projections of future streamflow. Forest fires commonplace in the WRB are modelled through logistic regression and a generalized extreme value distribution for occurrence and extent respectively, fit from historical data. Fire regeneration and natural changes in landcover are modelled though a first order Markov chain, with transition probabilities derived from satellite imagery. Using satellite imagery directly into historical simulations in a sub-basin with substantial forest fire activity improved WATFLOOD results. With climate change, incorporating non-stationary landcover results in lower flows than assuming stationarity, albeit still greater than baseline (1971 - 2000) flows. Projected streamflow uncertainty under climate change also increases as a result of introducing non-stationary landcover in the WRB. en_US
dc.subject non-stationary en_US
dc.subject landcover en_US
dc.title Incorporation of non-stationary landcover into WATFLOOD climate change scenarios en_US
dc.degree.discipline Civil Engineering en_US
dc.contributor.examiningcommittee Ali, Genevieve (Geological Sciences) Rasmussen, Peter (Civil Engineering) Koenig, Kristina (Manitoba Hydro) en_US
dc.degree.level Master of Science (M.Sc.) en_US
dc.description.note February 2014 en_US


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