Award Date
1-1-2006
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Mathematical Sciences
First Committee Member
Chih-Hsiang Ho
Number of Pages
39
Abstract
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.
Keywords
Approach; Area; Arima; Based; Disruption; Hazard; High; Level; Model; Mountain; Nevada; Probability; Proposed; Radioactive; Repository; Volcanic; Waste; Yucca
Controlled Subject
Mathematics
File Format
File Size
942.08 KB
Degree Grantor
University of Nevada, Las Vegas
Language
English
Permissions
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Repository Citation
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.
http://dx.doi.org/10.25669/xxvo-kns2
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