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Improving seismic surveillance at Mt. Etna Volcano by probabilistic earthquake location in a 3D model

Antonino Mostaccio, Tiziana Tuve, Domenico Patane, Graziella Barberi and Luciano Zuccarello
Improving seismic surveillance at Mt. Etna Volcano by probabilistic earthquake location in a 3D model
Bulletin of the Seismological Society of America (August 2013) 103 (4): 2447-2459


The increasing accuracy of 3D velocity models developed recently for Mt. Etna has enabled their use today in routine earthquake locations. In this work, we tested the potential and performance of a global-search probabilistic earthquake location method (NonLinLoc) in a 3D velocity model, to improve earthquake locations for seismic surveillance. In addition, NonLinLoc hypocenter locations and those obtained by standard iterative-linear 3D locations, SimulPS-14, have also been compared. To this end, a dataset of 328 selected earthquakes, occurring during the 2002-2003 Etna flank eruption, and the recent highest resolution 3D velocity model, have been used. The results revealed that the differences in hypocentral coordinates between the two methods are typically of the same order or smaller than the spatial location uncertainty. To evaluate the consistency of results between the two 3D location algorithms, synthetic datasets with real source-receiver configuration are also considered. Furthermore, by using NonLinLoc we estimated the influence of the source-receiver geometry on the quality of hypocenter locations. If we vary the network geometry in a dense and well-distributed network like at Etna, reducing the number of stations (by 20% and 50%), it is significant that no large systematic hypocentral shifts of the relocated earthquakes are observed if they occur within the network. NonLinLoc is a fast and promising approach for automatic earthquake locations and surveillance purposes at Mt. Etna, because (1) it works well with a reduced number of seismic pickings, which are usually available in the automatic locations; (2) it is not particularly sensitive to tolerable levels of random noise in arrival times; and (3) it produces full location uncertainty and resolution information with respect to standard iterative-linear 3D locations.

ISSN: 0037-1106
EISSN: 1943-3573
Serial Title: Bulletin of the Seismological Society of America
Serial Volume: 103
Serial Issue: 4
Title: Improving seismic surveillance at Mt. Etna Volcano by probabilistic earthquake location in a 3D model
Affiliation: Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo, Cantania, Italy
Pages: 2447-2459
Published: 201308
Text Language: English
Publisher: Seismological Society of America, Berkeley, CA, United States
References: 42
Accession Number: 2013-069339
Categories: Seismology
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. 4 tables, geol. sketch maps
N37°45'00" - N37°45'00", E15°01'00" - E15°01'00"
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Abstract, Copyright, Seismological Society of America. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 201341
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