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|Authors: ||D'Alessandro, Antonino*|
|Title: ||Location performance of the Alaska regional seismic network: an evaluation by the SNES method|
|Issue Date: ||6-Sep-2010|
|Keywords: ||Alaska Regional Seismic Network|
Magnitude of Completeness
|Abstract: ||Seismic networks are powerful tools for understanding the state of seismo-tectonic processes taking place
in a region. Their numerous applications, from monitoring seismicity to characterizing seismogenic
volumes, make seismic networks essential tools for the seismic risk assessment. Appropriately structured
seismic network may also be a valuable tool for the study of deep geological structures through seismic
tomography. The ability to detect small and medium sized events requires a seismic network with sufficient
number of low noise stations that are optimally distributed. It is, therefore, important to assess existing
capabilities of a seismic network, to identify seismic areas that are not adequately covered, and to further
ascertain measures for the network improvement.
Alaska is the most seismically active region of the United States. Seismicity is associated with the
subduction of the P acific plate beneath the North American plate, with the transform boundary in the
southeast Alaska, and with numerous crustal faults throughout the State. Regional seismicity in Alaska is
monitored by the Alaska Earthquake Information Center (AEIC) utilizing combined regional seismic
network that comprises over 400 seismic sites.
In this poster we will evaluate earthquake location performance of the Alaska regional seismic network
though SNES (Seismic Networks Evaluation through Simulation) method. This method analyzes noise
levels of existing stations, location errors, and velocity uncertainties and produces certain metrics that
allow to asses capabilities of an existing network.
In particular, through SNES we have identified high and low seismic noise areas of Alaska seismic
network. Through statistical analysis of P and S residual times we have assessed validity of velocity
models used by AEIC in their earthquake location routines and produced empirical formulas that link
travel time residual time variance to the hypocentral distance.
Finally, from analysis of produced SNES maps, we will identify regions in Alaska where it may be
opportune to improve the existing seismic network.|
|Appears in Collections:||Conference materials|
04.06.99. General or miscellaneous
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