Masters Theses

Keywords and Phrases

Guatemala; Slip rates; Strain Rates

Abstract

"Geodetic velocity data are pivotal for deciphering seismic risks, providing initial constraints for crustal surface strain rates. Gaining an understanding of the 2D surface strain tensor across an entire area necessitates knowledge of the surface velocity field, yet geodetic data such as measurements from the Global Navigation Satellite System (GNSS) are dispersed across the Earth’s surface. In the current scope of study, we have employed various methodologies to estimate strain rates in Guatemala, utilizing GNSS velocity data and leveraging the open-source Python tool Strain_2D. Strain_2D facilitates the computation of strain rates through diverse methods applied to the same dataset and grid. Three distinct interpolation approaches were incorporated to compute strain rates, aiming to quantify uncertainty and achieve more reliable outcomes. This study determined that the selection of parameters profoundly affects the strain rate field and utilized the L-curve technique to assess the balance between fitting the data and minimizing unnecessary strain signals. The findings indicate that the maximum shear strain distinctly outlines the triple junction (Cocos-North America-Caribbean) within the Guatemala City Graben, aligning with findings from previous research. Results indicate moment rates between of 2.88x1018 N m/yr. and 4.72 x 1018 N m/yr. depending on the method used. An average data misfit of 0.5 to 0.6 is also observed" -- Abstract, p. iii

Advisor(s)

Maurer, Jeremy

Committee Member(s)

Obrist-Farner, Jonathan
Eckert, Andreas

Department(s)

Geosciences and Geological and Petroleum Engineering

Degree Name

M.S. in Geology and Geophysics

Publisher

Missouri University of Science and Technology

Publication Date

Summer 2024

Pagination

ix, 54 pages

Note about bibliography

Includes_bibliographical_references_(pages 50-53)

Rights

©2024 Tanaya Kashyap , All Rights Reserved

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 12390

Electronic OCLC #

1477827248

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Geology Commons

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