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• W2804217295 abstract "Research Article| May 16, 2018 Robust Picking and Accurate Location with RSNI‐Picker2: Real‐Time Automatic Monitoring of Earthquakes and Nontectonic Events Davide Scafidi; Davide Scafidi aDipartimento di Scienze della Terra dell’Ambiente e della Vita, Università degli Studi di Genova, Viale Benedetto XV 5, 16132 Genoa, Italy, scafidi@dipteris.unige.it, ferretti@dipteris.unige.it, daniele@dipteris.unige.it Search for other works by this author on: GSW Google Scholar Alfio Viganò; Alfio Viganò bServizio Geologico, Provincia Autonoma di Trento, Via Vienna 17, 38121 Trento, Italy, alfio.vigano@provincia.tn.it Search for other works by this author on: GSW Google Scholar Gabriele Ferretti; Gabriele Ferretti aDipartimento di Scienze della Terra dell’Ambiente e della Vita, Università degli Studi di Genova, Viale Benedetto XV 5, 16132 Genoa, Italy, scafidi@dipteris.unige.it, ferretti@dipteris.unige.it, daniele@dipteris.unige.it Search for other works by this author on: GSW Google Scholar Daniele Spallarossa Daniele Spallarossa aDipartimento di Scienze della Terra dell’Ambiente e della Vita, Università degli Studi di Genova, Viale Benedetto XV 5, 16132 Genoa, Italy, scafidi@dipteris.unige.it, ferretti@dipteris.unige.it, daniele@dipteris.unige.it Search for other works by this author on: GSW Google Scholar Author and Article Information Davide Scafidi aDipartimento di Scienze della Terra dell’Ambiente e della Vita, Università degli Studi di Genova, Viale Benedetto XV 5, 16132 Genoa, Italy, scafidi@dipteris.unige.it, ferretti@dipteris.unige.it, daniele@dipteris.unige.it Alfio Viganò bServizio Geologico, Provincia Autonoma di Trento, Via Vienna 17, 38121 Trento, Italy, alfio.vigano@provincia.tn.it Gabriele Ferretti aDipartimento di Scienze della Terra dell’Ambiente e della Vita, Università degli Studi di Genova, Viale Benedetto XV 5, 16132 Genoa, Italy, scafidi@dipteris.unige.it, ferretti@dipteris.unige.it, daniele@dipteris.unige.it Daniele Spallarossa aDipartimento di Scienze della Terra dell’Ambiente e della Vita, Università degli Studi di Genova, Viale Benedetto XV 5, 16132 Genoa, Italy, scafidi@dipteris.unige.it, ferretti@dipteris.unige.it, daniele@dipteris.unige.it Publisher: Seismological Society of America First Online: 16 May 2018 Online Issn: 1938-2057 Print Issn: 0895-0695 © Seismological Society of America Seismological Research Letters (2018) 89 (4): 1478–1487. https://doi.org/10.1785/0220170206 Article history First Online: 16 May 2018 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Davide Scafidi, Alfio Viganò, Gabriele Ferretti, Daniele Spallarossa; Robust Picking and Accurate Location with RSNI‐Picker2: Real‐Time Automatic Monitoring of Earthquakes and Nontectonic Events. Seismological Research Letters 2018;; 89 (4): 1478–1487. doi: https://doi.org/10.1785/0220170206 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietySeismological Research Letters Search Advanced Search ABSTRACT The RSNI‐Picker2 (Regional Seismic network of Northwestern Italy, University of Genova) automatic phase detector, picker, and locator is presented, as well as the analysis of its performance in real‐time monitoring of earthquakes and nontectonic events. The major improvements of this algorithm with respect to previous ones are the iterative coupling between picking and probabilistic nonlinear locations and a dynamic selection of time windows for close phase onsets or contemporary events. Calculation of strong‐motion parameters and discrimination of out‐of‐network events can also be achieved.Automatic results from RSNI‐Picker2, its original version (RSNI‐Picker), and other automatic picking codes are compared with a reference manual dataset of 1445 local earthquakes of northwestern Italy. RSNI‐Picker2 shows significantly higher precision (91%) and accuracy (98.3% within ±0.1 s⁠) in P‐phase picking, with a recall of 75% for the selected setup. A similar robust picking of S phases (94% precision, 71% recall), with 89.2% of residuals within ±0.2 s⁠, ensures accurate and reliable automatic earthquake locations, especially for local‐suited setup with well‐constrained crustal velocity models. We find RSNI‐Picker2 also applicable for real‐time automatic environmental monitoring, as for quarry shots and large rockfalls. You do not have access to this content, please speak to your institutional administrator if you feel you should have access." @default.
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• W2804217295 title "Robust Picking and Accurate Location with RSNI‐Picker2: Real‐Time Automatic Monitoring of Earthquakes and Nontectonic Events" @default.
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