Improving Seismic Networks for the Earthquake Early Warning Mission
Description:
A seismic network supporting the Earthquake Early Warning (EEW) mission must prioritize speed of detection for potential earthquakes of consequence. We present methods for estimating annualized station expected contributions to the EEW mission for improving network effectiveness in the presence of limited resources for station coverage and maintenance. The expected rate of a station contributing to earthquake detection depends strongly on location. Stations near high slip-rate faults are more likely to participate in EEW earthquake detection than are stations near low slip-rate faults or in locations away from active faults altogether. The annualized rate of participation in detection at any point can be obtained from data associated with the USGS National Seismic Hazard Maps.
A station's contribution can be measured in terms of the improvement in detection time that it provides, the area it covers, the areas around it at various shaking intensity levels, and the number of people who have more time to prepare for shaking at various intensity levels because the station is on duty. As others have seen, time to earthquake detection depends on nearby station density. For a network denser in urban areas and sparse in outlying areas, like the network for the USGS ShakeAlert system, a hyperbolic relationship is seen between detection time improvement and numbers of people helped by the improvement. For example, urban Los Angeles area stations improve detection by tenths or hundredths of a second, but millions are (marginally) helped, while rural stations can help detection by a second or more, but few live near intense shaking. When damage models are linked to shaking intensities, station contributions can be measured in terms related to protecting people and property, a core USGS National Earthquake Hazard Reduction Program priority. Understanding station contributions can inform maintenance priorities and station sitings or relocations to improve seismic network effectiveness and maintainability.
Session: End-to-End Advancements in Earthquake Early Warning Systems [Poster Session]
Type: Poster
Date: 5/3/2024
Presentation Time: 08:00 AM (local time)
Presenting Author: Glenn
Student Presenter: No
Invited Presentation:
Authors
Glenn Biasi Presenting Author Corresponding Author gbiasi@usgs.gov U.S. Geological Survey |
Igor Stubailo stubailo@caltech.edu California Institute of Technology |
Marcos Alvarez malvarez@usgs.gov U.S. Geological Survey |
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Improving Seismic Networks for the Earthquake Early Warning Mission
Category
End-to-End Advancements in Earthquake Early Warning Systems