Earthquake Induced Landslides in Russian Altai: Absolute Dating Applying Tree-Ring and Radiocarbon Analysis

  • R. K. Nepop
  • A. R. AgatovaEmail author
Conference paper


In order to properly understand the seismic potential of a region, and to assess the associated seismic hazard, extensive studies are necessary to take full advantage from the geological evidence of past earthquakes including seismically triggered landslides. As a period of instrumental observations is insignificant in comparison with the recurrence interval of strong earthquakes the historical data are being involved as well as paleoseismogeological investigations, which are focused on studying ground effects from past earthquakes preserved in the geologic and geomorphic environment. In this context absolute age determination of such ground effects, including seismically triggered landslides, is one of the key problems. By now radiocarbon method is the most exploitable and widely applicable dating technique in numerical age estimations of seismically induced landslides. In case of spreading the forest vegetation in seismically active areas tree-ring analysis can be used as an additional or alternative approach. It has a great potential due to utmost precision of dating. In this study we report new radiocarbon dates of previously unknown evidences of strong prehistoric earthquakes within the highest and most seismically active southeastern part of Russian Altai (SE Altai) during the last 4 ka. In addition to estimating the germination ages of trees growing on the bare surfaces of seismically-triggered landslides, utilizing dendrochronological analysis of wood penetrating injuries of trees (both dead and living ones) caused by seismically induced rock-falls allowed establishing the date of strong medieval earthquake—AD 1532. Obtained results argue for the high regional seismicity in the second half of the Holocene and clarify the chronology of seismic events within the SE Altai. The specified recurrence interval of strong earthquakes is about 400 years during the last 4000 years.


Earthquake-induced landslides Radiocarbon dating Tree-ring analysis Recurrence interval of strong earthquakes Russian Altai 



The study was partly funded by Russian Foundation for Basic Researches (grants 15-05-06028 and 16-05-01035).


  1. Agatova AR, Nepop RK, Barinov VV, Nazarov AN, Myglan VS (2014) The first dating of strong Holocene earthquakes in Gorny Altai using long-term tree-ring chronologies. Russ Geol Geophys 55:1059–1067CrossRefGoogle Scholar
  2. Jacoby GC (1997) Application of tree-ring analysis to paleoseismology. Rev Geophys 35:109–124CrossRefGoogle Scholar
  3. McCalpin JP (2009) Paleoseismology, 2nd edn. Elsevier, San DiegoGoogle Scholar
  4. Rogozhin EA, Platonova SG (2002) Source areas of holocene large earthquakes in gorny altai [Ochagovye zony siljnyh zemletrjasenij Gornogo Altaya v golocene]. IFZ RAN, Moscow (in Russian)Google Scholar
  5. Rogozhin EA, Ovsyuchenko AN, Marakhanov AV, Ushanova EA (2007) Tectonic setting and geological manifestations of the 2003 Altai earthquake. Geotectonics 41(2):87–104CrossRefGoogle Scholar
  6. Solonenko VP (1966) The paleoseismogeological method. In: Solonenko VP (ed) Live tectonics, volcanoes, and seismicity of the stanovoi upland [Zhivaja tektonika, vulkany i seismichnost’ stanovogo nagor’ja]. Nauka, Moscow, pp 15–35 (in Russian)Google Scholar
  7. Wagner GA (1998) Age determination of young rocks and artifacts. Springer, Berlin HeidelbergCrossRefGoogle Scholar
  8. Zhalkovsky ND, Muchnaya VI (1975) Energy distribution of earthquakes and seismic activity in the Altai-Sayan area [Raspredelenie zemletrjasenij po energii I seismicheskaja aktivnost’ Altae-Sajanskoj oblasti]. In: Gaiskii VN (ed) Seismicity of the Altai-Sayan area [Seismichnost’ Altae-Sajanskoj oblasti]. Nauka Novosibirsk, pp 5–15 (in Russian)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.V.S. Sobolev Institute of Geology and Mineralogy SB RASNovosibirskRussia
  2. 2.Ural Federal UniversityYekaterinburgRussia

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