Insights on the Italian Seismic Network from location uncertainties
Author(s)
Language
English
Obiettivo Specifico
1IT. Reti di monitoraggio e sorveglianza
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
Issue/vol(year)
/25 (2021)
ISSN
1383-4649
Publisher
Springer Nature
Pages (printed)
1061–1076
Date Issued
2021
Abstract
Probabilistic earthquake locations provide confidence intervals for the hypocentre solutions such as errors encountered in the position, the origin time, and in magnitude. If the relationship of the parameters relative to the local arrangement of the seismic network is considered, such as the node distance, the number of stations, the seismic gap, and the quality of phase readings), the uncertainties can then provide insights on the location capability of the network. In this paper, we collect the earthquake data recorded from the Italian Seismic Network for a time span of 5 years. The data pertain to three different catalogues according to the progressive refinement phases of the location procedure: automatic location, revised location, and published location. By means of spatial analysis,we assess the distribution of the location-related and network-related estimators across the study area. These estimators are subsequently combined to assess the existence of spatial correlations at a local scale. The results indicate that the Italian network is generally able to provide robust locations at the national scale and for smaller earthquakes, and the elongated shape of Italy (and of its network) does not cause systematic bias in the locations. However, we highlight the existence of subregions in which the performance of the network is weaker. At present, a unique 2D, 3-layer velocity model is used for the earthquake location procedure, and this could represent the main limitation for the improvement of the locations. Therefore, the assessment of locally optimized velocity models is the priority for the homogenization and the improvement of the Italian Seismic Network performance.
Type
article
File(s)![Thumbnail Image]()
Loading...
Name
Scudero; 2021; Insights on the Italian Seismic Network from location uncertainties.pdf
Description
Open Access published article
Size
28.66 MB
Format
Adobe PDF
Checksum (MD5)
95e02784609a99cfe3295edb7001960c
