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This collection contains theses and dissertations of graduate students of the University of Alberta. The collection contains a very large number of theses electronically available that were granted from 1947 to 2009, 90% of theses granted from 2009-2014, and 100% of theses granted from April 2014 to the present (as long as the theses are not under temporary embargo by agreement with the Faculty of Graduate and Postdoctoral Studies). IMPORTANT NOTE: To conduct a comprehensive search of all UofA theses granted and in University of Alberta Libraries collections, search the library catalogue at www.library.ualberta.ca - you may search by Author, Title, Keyword, or search by Department.
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Results for "Probability Distributions on a Circle"

Subject: Landslides

  • Quantitative Risk Assessment of Natural and Cut Slopes: Measuring Uncertainty in the Estimated Risks and Proposed Framework for Developing Risk Evaluation Criteria

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    Fall 2013

    Macciotta, Renato

    through a Monte Carlo simulation technique, and the outcome of the analysis is a probability distribution of the estimated risk. This methodology shows the potential for evaluating the uncertainties related to risk estimations. The full potential of the risk management framework is best met with the

    carried out for two case histories, where population of the analyses input parameters is done as probability distributions rather than fixed values. The probability distributions of the input parameters cover the range of values believed realistic for each input parameter. The risk is then estimated

    establishment of risk evaluation criteria. The other objective of this work focuses on the development of risk evaluation criteria. It is not the intention of this work to develop case specific criteria, as this responsibility should lie with owners and regulators, but to propose a framework for developing the

  • Influence of Precipitation, Temperature, and Climate Change on Landslide Hazards in Western Canada

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    Spring 2024

    Mirhadi, Seyed Nima

    short-term temperature fluctuations play a significant role in landslide occurrences at the C018 site, and their effect can be quantified from a probabilistic approach. A clear weather signature has been identified for landslides occurring in the winter months. Moreover, statistical analyses on

    landslides occurring in spring and summer showed that if there is more than 20 mm of rainfall in 14 days, there is a 6% probability of a landslide, with a 0.1% probability of a landslide if there is less than 20 mm of rainfall in the preceding 14 days. This probabilistic approach provides a means to identify

    . The results show that a linear relationship can be approximated between the annual precipitation and the annual volume of landslides. This relationship is then used to estimate the annual volume of landslides by considering the projected annual precipitation based on the climate change models for the

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