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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: Weather Departments: Department of Civil and Environmental Engineering

  • 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

  • Decision-Support System for Construction Risk Management in Onshore Wind Projects

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    Fall 2021

    Mohamed, Emad

    ) developing an integrated simulation approach for assessing risks in onshore wind projects that considers both the cost and time impact of risks; (5) proposing a method for deriving probability distributions of a risk factor’s impact using fuzzy logic and multivariate analysis to enhance input modelling for

    Wind energy is emerging as a primary source of renewable energy in Canada, attracting over $23 billion in investment. Steadily increasing, a total capacity of 31,640 MW of wind energy must be installed by 2040 to meet the requirements of the Paris Agreement on Climate, requiring the construction of

    projects—particularly in the Canadian wind energy sector. In particular, the identification of project-specific (i.e., contextual) risk factors still relies heavily on traditional risk identification techniques that are demanding in terms of time and effort. This, together with a lack of historical data

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