Towards an extensible local magnitude scale

Placeholder Show Content

Abstract/Contents

Abstract
A consistent earthquake catalog containing homogeneous event size estimates is very crucial for many applications, including determination of long-term seismic activity rates, estimation of average site conditions, and most importantly, for seismic hazard assessment. The local magnitude, ML, is one of the most widely-used magnitudes for local and small earthquakes. However, ML as it was originally dened by Richter can be very biased due its arbitrary anchor at 100 km, and the fact that Richter derived it specifically for southern California. This thesis aims to redefine the local magnitude scale in a more intentional and physical way, as Richter had intended it to be. The primary purpose for chapter 2 is to introduce a physically-meaningful, data-driven approach to calibrate the local magnitude scale. We apply this approach to southern Kansas, Texas, Oklahoma and southern California. In chapter 3, we develop a model-driven approach to calibrate ML where earthquake data is scarce or unavailable. This approach utilizes information about the crustal structure and gives results that are consistent with the empirical approach. In chapter 4, we investigate the relationship between ML and seismic moment, M0, and use time-domain measurements of the maximum displacement amplitude, filtered using seven one-octave band-pass filters, to analyze the frequency content of S-wave and gain knowledge about the regional wave propagation characteristics as well as source parameters. The last chapter discusses the secondary project, in which we perform ultrasonic velocity experiments on Utica shale samples in order to characterize their anisotropy, and to estimate their dynamic elastic parameters. It is an attempt to better understand the in-situ behavior of the rock.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2020; ©2020
Publication date 2020; 2020
Issuance monographic
Language English

Creators/Contributors

Author Al-Ismail, Fatimah Mohammad
Degree supervisor Beroza, Gregory C. (Gregory Christian)
Thesis advisor Beroza, Gregory C. (Gregory Christian)
Thesis advisor Ellsworth, William L
Thesis advisor Zoback, Mark D
Degree committee member Ellsworth, William L
Degree committee member Zoback, Mark D
Associated with Stanford University, Department of Geophysics

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Fatimah Al-Ismail.
Note Submitted to the Department of Geophysics.
Thesis Thesis Ph.D. Stanford University 2020.
Location electronic resource

Access conditions

Copyright
© 2020 by Fatimah Mohammad Al-Ismail
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

Also listed in

Loading usage metrics...