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Network Analysis of the University of Utah Seismograph Stations Regional Seismic Network

Description: 

The University of Utah Seismograph Stations (UUSS) operates a regional seismic network (RSN) and is authoritative for seismic monitoring in the Utah region. This network has grown from a sparse, analog, statewide network in the 1960s to the current network composed of 51 modern digital stations and 71 legacy analog and short period stations. Geographically, the focus of the RSN is concentrated in the region of highest seismicity along the Intermountain Seismic Belt for earthquake location and characterization. The goal of this study is to use a data-driven approach to assess the current combined digital and analog seismic network and provide a prioritized list of analog stations needing upgrade, removal, or re-location. Problematic noisy stations may prove to be ineffective and are strong candidates for upgrades or removal when considered within the overall network geometry. These decisions can be performed objectively, and without bias using network detection modeling that uses both station noise characteristics and network geometry. Here, we extend previous network detection modeling work to the UUSS RSN using a subset of the UUSS earthquake catalog. Specifically, we combine source, magnitude, and distance information from analyst-located events in the UUSS catalog from 2011-2021 with noise characteristics from individual stations. The algorithm used in this study was originally designed for the central and eastern U.S. and in applying it to the Utah region, we derive a new distance-magnitude relationship for this RSN. This study provides a means to improve the UUSS regional seismic network based on a data-driven approach.

Session: Network Seismology: Recent Developments, Challenges and Lessons Learned [Poster]

Type: Poster

Date: 4/20/2023

Presentation Time: 08:00 AM (local time)

Presenting Author: Andy Trow

Student Presenter: No

Invited Presentation: 

Authors