Master of Science (MS)
First Committee Member
Number of Pages
An interesting extension of advanced time-series analysis techniques is introduced into the domain of volcanological data exploration. A new and innovative use of the well-known ARIMA method for modeling the recurrence rate of volcanism ranging from simple Poissonian volcanoes to those showing cyclic trends is presented. Specifically, we propose a new tool to fingerprint the eruptive behavior of a volcano, which also links some modeling tools of two of the most developed areas in the literature of statistics: stochastic processes and time series. Valuable modeling and computing insights are discussed using a data set from the volcanic database at Yucca Mountain, Nevada, a potential site for an underground geologic repository of high-level radioactive waste in the USA.
Approach; Area; Arima; Based; Disruption; Hazard; High; Level; Model; Mountain; Nevada; Probability; Proposed; Radioactive; Repository; Volcanic; Waste; Yucca
University of Nevada, Las Vegas
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Liu, XiaoJuan, "An Arima-model-based approach with hazard area for the probability of volcanic disruption of the proposed high-level radioactive waste repositiory at Yucca Mountain, Nevada, Usa" (2006). UNLV Retrospective Theses & Dissertations. 2063.
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