eprintid: 1745 rev_number: 12 eprint_status: archive userid: 6 dir: disk0/00/00/17/45 datestamp: 2016-09-15 12:44:02 lastmod: 2019-03-07 14:05:03 status_changed: 2016-09-15 12:44:02 type: article metadata_visibility: show creators_name: Grigoli, Francesco creators_name: Cesca, Simone creators_name: Amoroso, Ortensia creators_name: Emolo, Antonio creators_name: Zollo, Aldo creators_name: Dahm, Torsten creators_id: creators_id: simone.cesca@gfz-potsdam.de creators_id: creators_id: creators_id: creators_id: torsten.dahm@gfz-potsdam.de corp_creators: Institute of Earth and Environmental Sciences, University of Potsdam, Germany corp_creators: Institute of Earth and Environmental Sciences, University of Potsdam, Germany, GFZ-Potsdam, Section 2.1: Physics of Earthquakes and Volcanoes, Germany corp_creators: Department of Physics, University of Naples Federico II, Naples, Italy, Istituto Nazionale di Geoļ¬sica e Vulcanologia, Osservatorio Vesuviano Naples, Italy corp_creators: Department of Physics, University of Naples Federico II, Naples, Italy corp_creators: Department of Physics, University of Naples Federico II, Naples, Italy corp_creators: Institute of Earth and Environmental Sciences, University of Potsdam, Germany, GFZ-Potsdam, Section 2.1: Physics of Earthquakes and Volcanoes, Germany title: Automated seismic event location by waveform coherence analysis subjects: MP1 subjects: RIt divisions: EPOS-IP full_text_status: none abstract: Automated location of seismic events is a very important task in microseismic monitoring operations as well for local and regional seismic monitoring. Since microseismic records are generally characterised by low signal-to-noise ratio, automated location methods are requested to be noise robust and sufficiently accurate. Most of the standard automated location routines are based on the automated picking, identification and association of the first arrivals of P and S waves and on the minimization of the residuals between theoretical and observed arrival times of the considered seismic phases. Although current methods can accurately pick P onsets, the automatic picking of the S onset is still problematic, especially when the P coda overlaps the S wave onset. In this paper we propose a picking free earthquake location method, based on the use of the Short-Term-Average/Long-Term-Average (STA/LTA) traces at different stations as observed data. For the P phases we use the STA/LTA traces of the vertical energy function, while for the S phases, we use the STA/LTA traces of a second characteristic function, which is obtained using the principal component analysis technique. In order to locate the seismic event, we scan the space of possible hypocentral locations and origin times, and stack the STA/LTA traces along the theoretical arrival time surface for both P ans S phases. Iterating this procedure on a three-dimensional grid we retrieve a multidimensional matrix whose absolute maximum corresponds to the spatial coordinates of the seismic event. A pilot application was performed in the Campania-Lucania region (southern Italy) using a seismic network (Irpinia Seismic Network) with an aperture of about 150 km. We located 196 crustal earthquakes (depth < 20 km) with magnitude range 1.1