PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Local Seismic Events in the Area of Poland Based on Data from the PASSEQ 2006-2008 Experiment

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
PASSEQ 2006-2008 (Passive Seismic Experiment in TESZ; WildePiórko et al. 2008) was the biggest passive seismic experiment carried out so far in the area of Central Europe (Poland, Germany, the Czech Republic and Lithuania). 196 seismic stations (including 49 broadband seismometers) worked simultaneously for over two years. During the experiment, multiple types of data recorders and seismometers were used, making the analysis more complex and time consuming. The dataset was unified and repaired to start the detection of local seismic events. Two different approaches for detection were applied for stations located in Poland. The first one used standard STA/LTA triggers (Carl Johnson’s STA/LTA algorithm) and grid search to classify and locate the events. The result was manually verified. The second approach used Real Time Recurrent Network (RTRN) detection (Wiszniowski et al. 2014). Both methods gave similar results, showing four previously unknown seismic events located in the Gulf of Gdańsk area, situated in the southern Baltic Sea. In this paper we discuss both detection methods with their pros and cons (accuracy, efficiency, manual work required, scalability). We also show details of all detected and previously unknown events in the discussed area.
Czasopismo
Rocznik
Strony
2092--2113
Opis fizyczny
Bibliogr. 40 poz.
Twórcy
autor
  • Institute of Geophysics, Faculty of Physics, University of Warsaw, Warsaw, Poland
  • Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland
  • Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland
  • Institute of Geophysics, Faculty of Physics, University of Warsaw, Warsaw, Poland
Bibliografia
  • Allen, R. (1978), Automatic earthquake recognition and timing from single traces, Bull. Seismol. Soc. Am. 68, 5, 1521-1532.
  • Allen, R. (1982), Automatic phase pickers: their present use and future prospects, Bull. Seismol. Soc. Am. 72, 6B, S225-S242.
  • Beyreuther, M., R. Barsch, L. Krischer, T. Megies, Y. Behr, and J. Wassermann (2010), ObsPy: A Python toolbox for seismology, SRL 81, 530-533, DOI: 10.1785/gssrl.81.3.530.
  • Bratt, S.R., and T.C. Bache (1988), Locating events with a sparse network of regional arrays, Bull. Seismol. Soc. Am. 78, 2, 780-798.
  • Bratt, S.R., and W. Nagy (1991), The LocSAT Program, Science Applications International Corporation.
  • Crotwell, H.P., T.J. Owens, and J. Ritsema (1999), The taup toolkit: Flexible seismic travel-time and ray-path utilities, Seismol. Res. Lett. 70, 154-160, DOI: 10.1785/gssrl.70.2.154.
  • Ebel, J. (1996), Development of a seismic event detection and identification algorithm based on wavelet transforms, Seismol. Res. Lett. 67, 1-37.
  • Elman, J.L. (1990), Finding structure in time, Cognitive Sci. 14, 2, 179-211, DOI: 10.1016/0364-0213(90)90002-E.
  • Evans, J., and S. Allen (1983), A teleseismic-specific detection algorithm for single short period traces, Bull. Seismol. Soc. Am. 73, 4, 1173-1186.
  • Gentili, S., and A. Michelini (2006), Automatic picking of P and S phases using a neural tree, J. Seismol. 10, 1, 39-63, DOI: 10.1007/s10950-006-2296-6.
  • Gledhill, K.R. (1985), An earthquake detector employing frequency domain techniques, Bull. Seismol. Soc. Am. 75, 6, 1827-1835.
  • Goforth, T., and E. Herrin (1981), An automatic seismic signal detection algorithm based on the Walsh transform, Bull. Seismol. Soc. Am. 71, 4, 1351-1360.
  • Grad, M., and M. Polkowski (2012), Seismic wave velocities in the sedimentary cover of Poland: Borehole data compilation, Acta Geophys. 60, 4, 958- 1006, DOI: 10.2478/s11600-012-0022-z.
  • Grad, M., T. Tiira, and ESC Working Group (2009), The Moho depth map of the European Plate, Geophys. J. Int. 176, 1, 279-292, DOI: 10.1111/j.1365- 246X.2008.03919.x.
  • Grad, M., M. Polkowski, M. Wilde-Piórko, J. Suchcicki, and T. Arant (2015), Passive Seismic Experiment “13 BB Star” in the Margin of the East European Craton, Northern Poland, Acta Geophys. 63, 2, 352-373, DOI: 10.1515/ acgeo-2015-0006.
  • Johnson, C.E. (1979), CEDAR: An approach to the computer automation of shortperiod local seismic networks, Ph.D. Thesis, California Institute of Technology, Pasadena, USA.
  • Joswig, M. (1990), Pattern recognition for earthquake detection, Bull. Seismol. Soc. Am. 80, 1, 170-186.
  • Joswig, M. (1993), Single-trace detection and array-wide coincidence association of local earthquakes and explosions, Comput. Geosci. 19, 2, 207-221, DOI: 10.1016/0098-3004(93)90119-P.
  • Kennett, B.L.N., and E.R. Engdahl (1991), Traveltimes for global earthquake location and phase identification, Geophys. J. Int. 105, 2, 429-465, DOI: 10.1111/j.1365-246X.1991.tb06724.x.
  • Lizurek, G., B. Plesiewicz, P. Wiejacz, J. Wiszniowski, and J. Trojanowski (2013), Seismic event near Jarocin (Poland), Acta Geophys. 61, 1, 26-36, DOI: 10.2478/s11600-012-0052-6.
  • Madureira, G., and A.E. Ruano (2009), A neural network seismic detector, Acta Tech. Jaurinesis 2, 2, 159-170, DOI: 10.3182/20090921-3-TR-3005.00054.
  • McEvilly, T.V., and E.L. Majer (1982), ASP: An automated seismic processor for microearthquake networks, Bull. Seismol. Soc. Am. 72, 1, 303-325.
  • Megies, T., M. Beyreuther, R. Barsch, L. Krischer, and J. Wassermann (2011), Obspy – what can it do for data centers and observatories?, Ann. Geophys. 54, 1, 47-58, DOI: 10.4401/ag-4838.
  • Meyer, K., and O. Kulhanek (1980), The gulf of Gdańsk seismic event sequence of June 25 – July 3, Acta Geophys. Pol. 29, 4, 315-320.
  • Pharaoh, T.C. (1999), Palaeozoic terranes and their lithospheric boundaries within the trans-european suture zone (tesz): a review, Tectonophysics 314, 1-3, 17-41, DOI: 10.1016/S0040-1951(99)00235-8.
  • Polkowski, M., and M. Grad (2015), Seismic wave velocities in deep sediments in Poland: Borehole and refraction data compilation, Acta Geophys. 63, 698- 714, DOI: 10.1515/acgeo-2015-0019.
  • Tarvainen, M. (1991), Detection local and regional seismic events using the dataadaptive method at the VAF seismograph station in Finland, Bull. Seismol. Soc. Am. 81, 4, 1373-1379.
  • Tiira, T. (1999), Detecting teleseismic events using artificial neural networks, Comput. Geosci. 25, 8, 929-938, DOI: 10.1016/S0098-3004(99)00056-4.
  • Trnkoczy, A. (2012), Understanding and parameter setting of STA/LTA trigger algorithm, New Manual of Seismological Observatory Practice 2.
  • Trojanowski, J., B. Plesiewicz, and J. Wiszniowski (2015), Seismic monitoring of Poland – temporary Seismic Project with mobile Seismic Network, Acta Geophys. 63, 1, 17-44, DOI: 10.2478/s11600-014-0255-0.
  • Wang, J., and T.-L. Teng (1995), Artificial neural network-based seismic detector, Bull. Seismol. Soc. Am. 85, 1, 308-319.
  • Wang, J., and T.-L. Teng (1997), Identification and picking of S phase using an artificial neural network, Bull. Seismol. Soc. Am. 87, 5, 1140-1149.
  • Werbos, P. (1990), Backpropagation through time: what it does and how to do it, Proc. IEEE 78, 10, 1550-1560, DOI: 10.1109/5.58337.
  • Wessel, P., W.H. F. Smith, R. Scharroo, J.F. Luis, and F. Wobbe (2013), Generic Mapping Tools: Improved version released, EOS Trans. AGU 94, 45, 409- 410.
  • Wiejacz, P. (2006), The Kaliningrad earthquakes of September 21, 2004, Acta Geodyn. Geomat. 3, 7-16.
  • Wiejacz, P., and W. Dębski (2001), New observations of gulf of Gdansk seismic events, Phys. Earth Planet. Int. 123, 2-4, 233-245, DOI: 10.1016/S0031- 9201(00)00212-0.
  • Wilde-Piórko, M., W.H. Geissler, J. Plomerová, M. Grad, V. Babuška, E. Brückl, J. Cyziene, W. Czuba, R. England, E. Gaczyński, R. Gazdova, S. Gregersen, A. Guterch, W. Hanka, E. Hegedűs, B. Heuer, P. Jedlička, J. Lazauskiene, G. Randy Keller, R. Kind, K. Klinge, P. Kolinsky, K. Komminaho, E. Kozlovskaya, F. Krüger, T. Larsen, M. Majdański, J. Málek, G. Motuza, O. Novotný, R. Pietrasiak, Th. Plenefisch, B. Růžek, S. Sliaupa, P. Środa, M. Świeczak, T. Tiira, P. Voss, and P. Wiejacz (2008), PASSEQ 2006-2008: Passive Seismic Experimentin Trans – European Suture Zone, Stud. Geophys. Geod. 52, 439-448.
  • Williams, R., and D. Zipser (1989), A learning algorithm for continually running fully recurrent neural networks, Neural Comput. 1, 2, 270-280, DOI: 10.1162/neco.1989.1.2.270.
  • Wiszniowski, J., B. Plesiewicz, and J. Trojanowski (2014), Application of Real Time Recurrent Neural Network for detection of small natural earthquakes in Poland, Acta Geophys. 62, 3, 469-485, DOI: 10.2478/s11600-013-0140-2.
  • Withers, M., R. Aster, C. Young, J. Beiriger, M. Harris, S. Moore, and J. Trujillo (1998), A comparison of select trigger algorithms for automated global seismic phase and event detection, Bull. Seismol. Soc. Am. 88, 1, 95-106.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-571df85e-5948-4480-ba4b-e4dbc67b6299
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.