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IUGG XXIV General Assembly July 2-13, 2007 Perugia, Italy<br />

(S) - <strong>IASPEI</strong> - International Association of Seismology and Physics of the Earth's<br />

Interior<br />

JSS003 Poster presentation 1890<br />

Reliability of automatic location procedures in north - western Italy<br />

Dr. Chiara Turino<br />

Dip.Te.Ris. University of Genova <strong>IASPEI</strong><br />

Scafidi Davide, Morasca Paola, Ferretti Gabriele, Spallarossa Daniele<br />

Reliable automatic procedure for locating earthquake in real or quasi-real time is strongly needed for<br />

seismic warning system, earthquake preparedness and producing Shakemaps. The accuracy of<br />

automatic location algorithm is influenced by several factors such as errors in picking seismic phases,<br />

network geometry and velocity model uncertainties. The main purpose of this work is to investigate on<br />

the performances of two automatic procedure for the real-time location of earthquakes in North -<br />

Western Italy. The automatic-picking algorithm consists on a waveform pre-processing based on<br />

adaptive band-pass filter, self-calibrated by a signal to noise analysis, and on a two-steps picking<br />

procedure. Firstly, an initial pick of P and S phases is obtained with an algorithm based upon abrupt<br />

changes in the ratio of a short term and long term running average of the signal (Allen, 1978). The<br />

second step uses the re-picking program MannekenPix, to improve initial P-phase picking. The location<br />

problem is then solved by both a standard location procedure (Hypoellipse) and a probabilistic, non<br />

linear one based on the software NonLinLoc. The reference locations are determined by the Hypoellipse<br />

code considering manually-revised data. The comparison is made on a dataset composed by more than<br />

500 seismic events for the period 2000 - 2007, geographically selected from 43 N30' to 46N and from 6<br />

E30' to 11E, with local magnitude greater than 2.0. The results point out the accuracy of the automaticphase<br />

picking of P phases while, regarding the S phases, the automatic procedure is able to recognize a<br />

smaller number of arrival times than the manual one. Furthermore, the NonLinLoc software is proved to<br />

be more efficient than the standard Hypoellipse code, leading to more accurate and reliable automatic<br />

locations mainly when outliers (wrong picks) are present.<br />

Keywords: automatic location, picking

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