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University of Nevada - Reno

Improving Reno Earthquake Hazard Assessment Through a Ground-Motion Model Analysis and Paleoseismic Study

Abstract

dc:description.abstract

We present the results of two complimentary methods to assess earthquake hazards around Reno, Nevada. First, we evaluate the performance of the four NGA-West2 (2014) Active Crustal models, which are trained on a global dataset of ground motion recordings, in the context of the Reno area. We compare the NGA-West2 model estimates with a new dataset of ground motion measurements derived from seismic recordings for 512 earthquakes near Reno. This comparison identifies various source, site, and path residuals between the estimated and observed ground-motions. Second, we present age constraints on two surfaces near the Mt. Rose range-bounding fault using Optically Stimulated Luminescence to date soil samples from paleoseismic pits. The age constraints are used with topographic offset to constrain the fault slip rate and earthquake recurrence interval. The two approaches can be used to conduct more accurate assessments of seismic hazard risk to Reno and facilitate future hazard mitigation.

Degree

thesis:*
Level thesis:degree_level
Master’s Degree
Year dc:date.issued
2026

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Dills, Carter Wayne
Advisor dc:contributor.advisor
  • Trugman, Daniel T
Committee members dc:contributor.committeemember
  • Koehler, Richard D
  • Feldman, Chris R

Subjects

dc:subject × 6

Rights

Language dc:language.iso
en_US, English

Identifiers

dc:identifier.*
Repository record dc:identifier.uri
https://scholarwolf.unr.edu/handle/11714/11871
OAI identifier oai:identifier
oai:scholarwolf.unr.edu:11714/11871

Chain of custody

source
Harvested from
University of Nevada - Reno
Base URL
scholarwolf.unr.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Dills, Carter Wayne. Improving Reno Earthquake Hazard Assessment Through a Ground-Motion Model Analysis and Paleoseismic Study. Master’s Degree thesis, 2026. https://scholarwolf.unr.edu/handle/11714/11871