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Past and Future Hydrology Near the Arctic Treeline

dc.contributor.advisorPomeroy, John
dc.contributor.committeeMemberMartz, Lawrence
dc.contributor.committeeMemberde Boer, Dirk
dc.contributor.committeeMemberPietroniro, Alain
dc.contributor.committeeMemberGuo, Xulin
dc.creatorKrogh Navarro, Sebastian Alberto 1987-
dc.creator.orcid0000-0003-2663-7088
dc.date.accessioned2019-01-23T21:28:22Z
dc.date.available2019-01-23T21:28:22Z
dc.date.created2018-11
dc.date.issued2019-01-23
dc.date.submittedNovember 2018
dc.date.updated2019-01-23T21:28:22Z
dc.description.abstractThe Arctic has warmed rapidly, increasing shrub cover and density, and thawing permafrost. Understanding, quantifying and predicting the impact of these environmental changes on the hydrological regime of Arctic headwater basins represents a great scientific challenge, particularly due to the sparse monitoring network, limited understanding of governing physical processes and their interaction, and the uncertainty in future climate projections. The purpose of this research is to better understand the impact of climate and vegetation change on the hydrology of Arctic basins near the treeline. This thesis is divided into four sections with the following objectives: (1) to test the coupling of a ground freeze/thaw algorithm with a hydrological model at two research sites in northern Yukon; (2) to diagnose the hydrology of a small Arctic basin near the treeline using a physically based hydrological model; (3) to quantify its historical long-term changes and investigate the individual and combined effect of changing climate and vegetation on its hydrology; and (4) to use high-resolution climate simulations under a high gas concentration scenario along with expected vegetation changes, to investigate changes to hydrological processes and regime. Results revealed the importance of including vegetation dynamics such as changes in shrub extension and density in hydrological models, to capture their impact on blowing snow redistribution and sublimation, and canopy interception and sublimation of snow, something neglected by current studies. This study demonstrated that increasing shrub extension and density near the Arctic treeline slightly compensates the historical decrease in mean annual discharge produced by the decreasing precipitation, providing a small degree of hydrological resiliency. Historical change analysis revealed that hydrological processes are decelerating near the Arctic treeline, such as decreasing evapotranspiration, soil moisture, sublimation and streamflow, mostly driven by climate change. However, under sufficient climate change (38% and 6.1 °C increase in mean annual precipitation and temperature, respectively) significant hydrological changes are expected, reversing the simulated historical changes. Projections show a significant increase in mean annual streamflow discharge, shortening of the snowcover seasons, deepening of the active layer thickness, increasing peak snow accumulation and earlier and larger peak streamflow. Whilst specific to one basin, they indicate the nature of hydrological changes facing Arctic hydrology. These changes will have significant impacts on ecosystems, infrastructure, landscape evolution and atmospheric feedbacks, which are required to be properly understood and quantified to design sustainable and effective mitigation and adaptation plans. The analyses and discussions presented in this study to diagnose the past and predict future Arctic hydrology are relevant for the scientific community of hydrologists, engineers, water managers and policy makers, particularly those interested in cold regions.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10388/11807
dc.subjectSnow
dc.subjectPermafrost
dc.subjectHydrology
dc.subjectClimate Change
dc.subjectModelling
dc.titlePast and Future Hydrology Near the Arctic Treeline
dc.typeThesis
dc.type.materialtext
thesis.degree.departmentGeography and Planning
thesis.degree.disciplineGeography
thesis.degree.grantorUniversity of Saskatchewan
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

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