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Tytuł artykułu

Non-stationarity and internal correlations of the occurrence process of mining-induced seismic events

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Języki publikacji
EN
Abstrakty
EN
A point process, e.g., the seismic process, is potentially predictable when it is non-stationary, internally correlated or both. In this paper, an analysis of the occurrence process of mining-induced seismic events from Rudna copper mine in Poland is presented. Stationarity and internal correlation are investigated in complete seismic time series and segmentally in subseries demonstrating relatively stable seismicity rates. It is shown that the complete seismic series are non-stationary; however, most of their shorter subseries become stationary. In the stationary subseries, the distribution of interevent time is closer to the exponential distribution, which is characteristic for the Poisson process. However, in most of these subseries, the differences between the interevent time and Poisson distributions are still significant, revealing correlations among seismic events.
Czasopismo
Rocznik
Strony
507--515
Opis fizyczny
Bibliogr. 21 poz.
Twórcy
autor
  • Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland
autor
  • Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland
  • Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland
Bibliografia
  • 1. Baecher GB, Keeney RL (1982) Statistical examination of reservoir-induced seismicity. Bull Seismol Soc Am 72:553–569
  • 2. Correig AM, Urquizu M, Vila J, Marti J (1997) Analysis of temporal occurrence of seismicity at Deception Island (Antarctica): a nonlinear approach. Pure Appl Geophys 149:553–574. doi:10.1007/s000240050041
  • 3. Gardner JK, Knopoff L (1974) Is the sequence of earthquakes in southern California, with aftershocks removed, Poissonian? Bull Seismol Soc Am 64:1363–1367Google Scholar
  • 4. Gkarlaouni C, Lasocki S, Papadimitriou E, Tsaklidis G (2017) Hurst analysis of seismicity in Corinth rift and Mygdonia graben (Greece). Chaos Solitons Fractals 96:30–42. doi:10.1016/j.chaos.2017.01.001
  • 5. Hurst H (1951) Long term storage capacity of reservoirs. Trans Am Soc Civ Eng 116:770–799
  • 6. Kijko A (1997) Keynote lecture: seismic hazard assessment in mines. In: Gibowicz SJ, Lasocki S (eds) Rockburst and seismicity in mines. Rotterdam, Balkama, pp 247–256
  • 7. Kiremidijan AS, Anagnos T (1984) Stochastic slip predictable model for earthquake occurrences. Bull Seismol Soc Am 74:739–755
  • 8. Lasocki S (1992a) Non-poissonian structure of mining induced seismicity. Acta Mont 84:51–58
  • 9. Lasocki S (1992b) Weibull distribution for time intervals between mining tremors. Publs Inst Geophys Pol Acad Sci 16(245):241–260
  • 10. Lasocki S (1993) Weibull distribution as a model for sequence of seismic events induced by mining. Acta Geophys Pol 41:101–112
  • 11. Gkarlaouni C, Lasocki, S, Papadimitriou E (2015) Investigation of earthquake magnitude and interevent time distribution in Corinth Gulf and Mygdonia basin with the use of stochastic tools. In: Proceedings of the 28th panhellenic statistics conference. Greek Statistical Institute, pp 385–399
  • 12. Lasocki S, Orlecka-Sikora B (2008) Seismic hazard assessment under complex source size distribution of mining-induced seismicity. Tectonophysics 456:28–37. doi:10.1016/j.tecto.2006.08.013
  • 13. Lombardi AM, Marzocchi W (2007) Evidence of clustering and nonstationarity in the time distribution of large worldwide earthquakes. J Geophys Res 112:B02303. doi:10.1029/2006JB004568
  • 14. Lomnitz C (1994) Fundamentals of earthquake prediction. Willey, New York
  • 15. Matsumura S (1984) A one-parameter expression of seismicity patters in space and time. Bull Seismol Soc Am 74:2559–2576
  • 16. Orlecka-Sikora B, Lasocki S (2002) Clustered structure of seismicity from the Legnica–Glogow copper district. Publ Inst Geophys Pol Acad Sci 24(340):105–119 (in Polish with English abstract)
  • 17. Priestley MB, Subba Rao T (1969) A test for non-stationarity of time-series. J R Stat Soc Ser B (Methodol) 31(1):140–149
  • 18. Stephens MA (1974) EDF statistics for soodness of fit and some comparisons. J Am Stat Assoc 69:730–737
  • 19. Vere-Jones D (2010) Foundations of statistical seismology. Pure Appl Geophys 167:645–653
  • 20. Węglarczyk S, Lasocki S (2009) Studies of short and long memory in mining-induced seismic processes. Acta Geophys 57:696–715. doi:10.2478/s11600-009-0021-x
  • 21. Xu Y, Burton PW (2006) Time varying seismicity in Greece: Hurst’s analysis and Monte Carlo simulation applied to a new earthquake catalogue for Greece. Tectonophysics 423:125–136. doi:10.1016/j.tecto.2006.03.006
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fc749aed-457a-4736-9e18-e6ab84e239b0
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