An Empirical Formula to Classify the Quality of Earthquake Locations
Language
English
Obiettivo Specifico
4T. Sismicità dell'Italia
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Issue/vol(year)
6/109 (2019)
Pages (printed)
2755–2761
Date Issued
2019
Abstract
Providing a quantitative estimate of earthquake location quality is not a simple task. Traditional methods, used in literature, are not exhaustive and depend on a subjective point of view, because they consist of empirical choice of quality thresh- olds of different estimators of location uncertainty. However, we notice that these
estimators are correlated with one another, implying the need to combine them to obtain a numerical and impartial estimate of the quality of a seismic location. Therefore, we provide a formula that associates a quality factor (q f ) value with a seismic location, which is based on the combination of a set of uncertainty estimators,
suitably normalized. We apply the criterion to two different-type and different-scale earthquake catalogs, located by two different methods, obtaining encouraging results. The q f parameter definition is a fast, simple, and objective instrument to provide a user-friendly classification of location quality. Thus, the q f could represent a powerful tool for routine monitoring location computation.
estimators are correlated with one another, implying the need to combine them to obtain a numerical and impartial estimate of the quality of a seismic location. Therefore, we provide a formula that associates a quality factor (q f ) value with a seismic location, which is based on the combination of a set of uncertainty estimators,
suitably normalized. We apply the criterion to two different-type and different-scale earthquake catalogs, located by two different methods, obtaining encouraging results. The q f parameter definition is a fast, simple, and objective instrument to provide a user-friendly classification of location quality. Thus, the q f could represent a powerful tool for routine monitoring location computation.
Type
article
File(s)![Thumbnail Image]()
Loading...
Name
draft-BSSA-Michele_et_al_2019.pdf
Size
14.72 MB
Format
Adobe PDF
Checksum (MD5)
82fceacbd86555b2472a2e61c3cb08ae
