Abstract
An application of the Complete Automatic Seismic Processor (CASP) for seismic monitoring is presented. Its integrated and iterative fully automatic procedure is able to achieve complete data analysis and significantly rapid elaborations. Its performance in real-time seismic monitoring and alerting is tested in the Trentino region (NE Italy) for the period 1st March 2018 – 31st August 2019. CASP precisely and accurately located 386 seismic events, with local magnitudes in the -0.8–3.4 range, and produced a seismic catalogue with a magnitude of completeness around 1.1. Automatic earthquake solutions, with average horizontal and vertical errors of 1.1 and 1.5 km, are very similar to those included in a manually revised reference catalogue. In addition, 146 detected events are located in the area of the local porphyry quarries. CASP alerts are delivered as Short Message Service (SMS), Telegram and e-mail messages within an average time of just over two minutes from the earthquake origin time. These alerts contain earthquake source parameters, ground shaking levels and instrumental intensities. CASP reliability, promptness and robustness permit to civil protection and decision makers to perform a monitoring primarily dedicated to emergency management, in order to evaluate both seismic sources and their effects (peak ground acceleration) at local targets, such as more inhabited territories and critical infrastructures (dams and hydropower plants).
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References
Afonso JC, Fullea J, Griffin WL, Yang Y, Jones AG, Connolly JAD, O’Reilly SY (2013) 3-D multiobservable probabilistic inversion for the compositional and thermal structure of the lithosphere and upper mantle. I: a priori petrological information and geophysical observables. J Geophys Res 118(5):2586–2617
Akaike H (1974) Markovian representation of stochastic processes and its application to the analysis of autoregressive moving average process. Ann Inst Stat Math 26(1):363–387
Allen RV (1982) Automatic phase pickers: their present use and future prospects. Bull Seismol Soc Am 72(6B):S225–S242
Amorèse D (2007) Applying a change-point detection method on frequency-magnitude distributions. Bull Seismol Soc Am 97(5):1742–1749
Beyreuther M, Barsch R, Krischer L, Megies T, Behr Y, Wassermann J (2010) ObsPy: a Python toolbox for seismology. Seismol Res Lett 81(3):530–533
CEN (Comité Européen de Normalisation) (2003) prEN 1998-1-Eurocode 8: design of structures for earthquake resistance – part 1: general rules, seismic actions and rules for buildings. Draft No 6, CEN/TC250/SC8/N335
DeVries PMR, Viégas F, Wattenberg M, Meade BJ (2018) Deep learning of aftershock patterns following large earthquakes. Nature 560:632–634
Faenza L, Michelini A (2010) Regression analysis of MCS intensity and ground motion parameters in Italy and its application in ShakeMap. Geophys J Int 180:1138–1152
Geological Survey–Provincia Autonoma di Trento (1981) Trentino Seismic Network. International Federation of Digital Seismograph Networks. Dataset/Seismic Network. https://doi.org/10.7914/SN/ST
Gruppo di lavoro MPS (2004) Redazione della mappa di pericolosità sismica prevista dall’Ordinanza PCM 3274 del 20 marzo 2003. Rapporto conclusivo per il DPC. Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy
Guidoboni E, Ferrari G, Mariotti D, Comastri A, Tarabusi G, Sgattoni G, Valensise G (2018) CFTI5Med, Catalogo dei Forti Terremoti in Italia (461 a.C.-1997) e nell’area Mediterranea (760 a.C.-1500). Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy. https://doi.org/10.6092/ingv.it-cfti5
Gulia L, Wiemer S (2010) The influence of tectonic regimes on the earthquake size distribution: a case study for Italy. Geophys Res Lett 37(10). https://doi.org/10.1029/2010GL043066
INGV Seismological Data Centre (2006) Rete Sismica Nazionale (RSN). Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy. 10.13127/SD/X0FXNH7QFY
Konno K, Ohmachi T (1998) Ground-motion characteristics estimated from spectral ratio between horizontal and vertical components of microtremor. Bull Seismol Soc Am 88(1):228–241
Lamontagne M, Flynn B, Goulet C (2016) Facing the communication challenges during an earthquake swarm period. Seismol Res Lett 87(6):1373–1377
Lomax A, Virieux J, Volant P, Berge-Thierry C (2000) Probabilistic earthquake location in 3D and layered models: introduction of a Metropolis–Gibbs method and comparison with linear locations. In: Thurber CH, Rabinowitz N (eds) Advances in seismic event location. Kluwer Academic Publishers, Dordrecht, pp 101–134
Lomax A, Satriano C, Vassallo M (2012) Automatic picker developments and optimization: FilterPicker–A robust, broadband picker for real-time seismic monitoring and earthquake early warning. Seismol Res Lett 83(3):531–540
Massa M, Barani S, Lovati S (2014) Overview of topographic effects based on experimental observations: meaning, causes and possible interpretations. Geophys J Int 197(3):1537–1550
Ministry of Infrastructures and Transport (2017) Extraordinary checks following seismic events (in Italian). Dam General Direction Circular, 25157
Nakamura Y (1989) A method for dynamic characteristics estimation of subsurface using microtremor on the ground surface. Q Rep Railway Tech Res Inst 30(1):25–33
National Research Council (2006) Improved seismic monitoring—improved decision-making: assessing the value of reduced uncertainty. The National Academies Press, Washington DC
Peterson J (1993) Observations and modelling of seismic background noise. US Geol Surv Open-File Rept:93–322
Presidency of Council of Ministers—Civil Protection Department (1972) Italian Strong Motion Network. International Federation of Digital Seismograph Networks. Dataset/Seismic Network. https://doi.org/10.7914/SN/IT
Sandron D, Gentile GF, Gentili S, Saraò A, Rebez A, Santulin M, Slejko D (2015) The Wood–Anderson of Trieste (Northeast Italy): one of the last operating torsion seismometers. Seismol Res Lett 86(6):1645–1654
Scafidi D, Spallarossa D, Turino C, Ferretti G, Viganò A (2016) Automatic P- and S-wave local earthquake tomography: testing performance of the automatic phase-picker engine “RSNI-Picker”. Bull Seismol Soc Am 106(2):526–536
Scafidi D, Viganò A, Ferretti G, Spallarossa D (2018) Robust picking and accurate locations with RSNI-Picker2: real-time automatic monitoring of earthquakes and nontectonic events. Seismol Res Lett 89(4):1478–1487
Scafidi D, Spallarossa D, Ferretti G, Barani S, Castello B, Margheriti L (2019) A complete automatic procedure to compile reliable seismic catalogs and travel-time and strong-motion parameters datasets. Seismol Res Lett 90(3):1308–1317
Schorlemmer D, Wiemer S, Wyss M (2005) Variations in earthquake-size distribution across different stress regimes. Nature 437:539–542
Schorlemmer D, Mele F, Marzocchi W (2010) A completeness analysis of the National Seismic Network of Italy. J Geophys Res 115(B4). https://doi.org/10.1029/2008JB006097
SESAME Working Group (2004) Guidelines for the implementation of the H/V spectral ratio technique on ambient vibrations – measurements, processing and interpretation. SESAME European research project, WP12, Deliverable D23.12
Siddiqqi J, Atkinson GM (2002) Ground-motion amplification at rock sites across Canada as determined from horizontal-to-vertical component ratio. Bull Seismol Soc Am 92(2):877–884
Spallarossa D, Ferretti G, Scafidi D, Turino C, Pasta M (2014) Performance of the RSNI-Picker. Seismol Res Lett 85(6):1243–1254
Swiss Seismological Service (SED) at ETH Zürich (1983) National Seismic Networks of Switzerland. ETH Zürich. https://doi.org/10.12686/SED/NETWORKS/CH
University of Genova (1967) Regional Seismic Network of North Western Italy. International Federation of Digital Seismograph Networks. Dataset/Seismic Network. https://doi.org/10.7914/SN/GU
Viganò A, Bressan G, Ranalli G, Martin S (2008) Focal mechanism inversion in the Giudicarie-Lessini seismotectonic region (Southern Alps, Italy): insights on tectonic stress and strain. Tectonophysics 460:106–115
Viganò A, Scafidi D, Martin S, Spallarossa D (2013) Structure and properties of the Adriatic crust in the central-eastern Southern Alps (Italy) from local earthquake tomography. Terra Nova 25:504–512
Viganò A, Scafidi D, Ranalli G, Martin S, Della Vedova B, Spallarossa D (2015) Earthquake relocations, crustal rheology, and active deformation in the central-eastern Alps (N Italy). Tectonophysics 661:81–98
Viganò A, Zampieri D, Rossato S, Martin S, Selli L, Prosser G, Ivy-Ochs S, Campedel P, Fedrizzi F, Franceschi M, Rigo M (2018) Past to present deformation of the central-eastern Southern Alps: from the foreland to the Giudicarie belt. Geol F Trips Maps 10:1–78. https://doi.org/10.3301/GFT.2018.01
Wessel P, Smith WHF (1998) New, improved version of the Generic Mapping Tools released. Eos Trans AGU 79:579
ZAMG – Zentralanstalt für Meterologie und Geodynamik (1987) Austrian Seismic Network. International Federation of Digital Seismograph Networks. Dataset/Seismic Network. https://doi.org/10.7914/SN/OE
Acknowledgements
The companies that manage the hydropower plants where seismic stations are installed (Hydro Dolomiti Energia, Dolomiti Edison Energy, Primiero Energia, Dolomiti Energia, AGSM Verona) are greatly acknowledged. The authors gratefully acknowledge the Geological Survey and the Agency for water resources and energy of the Provincia autonoma di Trento. Valuable work from M. Tomasini was greatly appreciated. Thanks are also due to O. Groaz and L. Froner for technical support. This research was supported by the Geological Survey of the Provincia autonoma di Trento (www.protezionecivile.tn.it). The paper has benefitted from the comments by an anonymous reviewer.
This work benefitted from seismic data provided by institutions that own stations and/or perform monitoring of the alpine area, on the basis of multi-annual agreements. In particular, the Provincia autonoma di Trento, the Istituto Nazionale di Geofisica e Vulcanologia–INGV, the Provincia autonoma di Bolzano, the Land Tirol, the Regione Veneto, the Regione autonoma Friuli Venezia Giulia, the Zentralanstalt für Meteorologie und Geodynamik, the Istituto Nazionale di Oceanografia e di Geofisica Sperimentale–OGS, the Università degli Studi di Genova, and the Schweizerischer Erdbebendienst–SED. The annual seismic bulletin of Trentino for the period 2008–2017 (available at www.protezionecivile.tn.it) was created by OGS. Most figures were prepared using the GMT software (Wessel and Smith 1998). Researchers interested in the Complete Automatic Seismic Processor (CASP) are welcomed to contact the authors for any scientific project or free trial.
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Viganò, A., Scafidi, D. & Ferretti, G. A new approach for a fully automated earthquake monitoring: the local seismic network of the Trentino region (NE Italy). J Seismol 25, 419–432 (2021). https://doi.org/10.1007/s10950-021-09993-0
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DOI: https://doi.org/10.1007/s10950-021-09993-0