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Tytuł artykułu

Incorporating space, time, and magnitude measures in a network characterization of earthquake events

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
We investigate the structural properties of a spatio-temporal network of earthquake events that incorporates magnitude information between the connected events. The network creates temporally directed links from an origin event towards a later event if it breaks the record closest distance from the origin among all the events in the catalog so far. Additionally, the links are conditionally classified based on the magnitude difference between connected events: “up” (“down”) connections point from a weaker (stronger) to a stronger (weaker) event. Using earthquake records from the Philippines from 1973 to 2012 and southern California from 1982 to 2012, we observe that the out-degree distributions show slight deviations from the corresponding Poisson distribution of the same mean. The space and time separations of connected earthquakes both show power-law regimes, suggesting spatio-temporal (self)organization. More importantly, the conditional distributions of “up” and “down” connections in space, time, and network structure point to a higher likelihood of a stronger event triggering a nearby weaker event for the first few connections, as in the case of aftershocks. The results are captured by a sandpile-based model where a small but finite probability of preferentially targeting the most susceptible grid site is introduced. Our analysis, coupled with the discrete model analog, provides a quantitative picture of the spatio-temporal and magnitude organization of seismicity beyond just the successive events. The technique may be extended to further characterize similar long-period earthquake records to yield a more complete picture of the underlying processes involved in seismicity.
Czasopismo
Rocznik
Strony
1153--1166
Opis fizyczny
Bibliogr. 41 poz.
Twórcy
autor
  • National Institute of Physics, University of the Philippines, Diliman, Quezon City, Philippines
autor
  • National Institute of Physics, University of the Philippines, Diliman, Quezon City, Philippines
autor
  • National Institute of Physics, University of the Philippines, Diliman, Quezon City, Philippines
Bibliografia
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  • 8. Batac RC, Paguirigan AA Jr, Tarun AB, Longjas AG (2017) Sandpile-based model for capturing magnitude distributions and spatiotemporal clustering and separation in regional earthquakes. Nonlinear Processes Geophys 24(2):179–187. https://doi.org/10.5194/npg-24-179-2017
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  • 24. Marekova E (2014) Analysis of the spatial distribution between successive earthquakes occurred in various regions in the world. Acta Geophys 62(6):1262–1282. https://doi.org/10.2478/s11600-014-0234-5
  • 25. Narteau C, Byrdina S, Shebalin P, Schorlemmer D (2009) Common dependence on stress for the two fundamental laws of statistical seismology. Nature 462:642–645. https://doi.org/10.1038/nature08553
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  • 31. Scholz CH (2015) On the stress dependence of the earthquake b value. Geophys Res Lett 42(5):1399–1402. https://doi.org/10.1002/2014GL062863
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  • 33. Spada M, Tormann T, Wiemer S, Enescu B (2013) Generic dependence of the frequency-size distribution of earthquakes on depth and its relation to the strength profile of the crust. Geophys Res Lett 40:709–714. https://doi.org/10.1029/2012GL054198
  • 34. Tarun AB, Paguirigan AA, Batac RC (2015) Spatiotemporal recurrences of sandpile avalanches. Phys A 436:293–300. https://doi.org/10.1016/j.physa.2015.05.016
  • 35. Telesca L (2007) Time-clustering of natural hazards. Nat Hazards 40(3):593–601. https://doi.org/10.1007/s11069-006-9023-z
  • 36. Touati S, Naylor M, Main IG (2009) Origin and nonuniversality of the earthquake interevent time distribution. Phys Rev Lett 102(16):168501. https://doi.org/10.1103/PhysRevLett.102.168501
  • 37. Tzanis A, Vallianatos F, Efstathiou A (2013) Multidimensional earthquake frequency distributions consistent with non-extensive statistical physics: the interdependence of magnitude, interevent time and interevent distance in North California. Bulletin Geol. Soc. Greece 47(3):1326–1337. https://doi.org/10.12681/bgsg.10914
  • 38. Zaliapin I, Ben-Zion Y (2013a) Earthquake clusters in southern California I: identification and stability. J Geophys Res 118:2847–2864. https://doi.org/10.1002/jgrb.50179
  • 39. Zaliapin I, Ben-Zion Y (2013b) Earthquake clusters in southern California II: classification and relation to physical properties of the crust. J Geophys Res 118:2865–2877. https://doi.org/10.1002/jgrb.50178
  • 40. Zaliapin I, Ben-Zion Y (2015) Artefacts of earthquake location errors and short-term incompleteness on seismicity clusters in southern California. Geophys J Int 202:1949–1968. https://doi.org/10.1093/gji/ggv259
  • 41. Zaliapin I, Gabrielov A, Keilis-Borok V, Wong H (2008) Clustering analysis of seismicity and aftershock identification. Phys Rev Lett 101:018501. https://doi.org/10.1103/PhysRevLett.101.018501
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-de00b297-4a42-49f5-b4ba-2b6b059d9190
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