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Interseismic strain accumulation and the earthquake potential on the southern San Andreas fault system

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  • Yuri Fialko

    (University of California)

Abstract

San Andreas fault is stressed The southern section of the San Andreas fault is the only part of the fault that hasn't ruptured in historic times. For this reason it is believed to pose the largest seismic risk in California, although whether tectonic stress is actually accumulating there is a topic of heated debate. Using data from radar interferometry satellites, Yuri Fialko has produced a detailed map of surface deformation in the area that shows that elastic stress is accumulating at a fairly high rate: during the past 300 years, a displacement of 6 to 9 metres has built up. This suggests that the southern San Andreas fault is nearing the end of the interseismic phase of the earthquake cycle, and that increased seismic activity of some kind can be expected.

Suggested Citation

  • Yuri Fialko, 2006. "Interseismic strain accumulation and the earthquake potential on the southern San Andreas fault system," Nature, Nature, vol. 441(7096), pages 968-971, June.
  • Handle: RePEc:nat:nature:v:441:y:2006:i:7096:d:10.1038_nature04797
    DOI: 10.1038/nature04797
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    Cited by:

    1. Priyom Roy & Tapas R. Martha & K. Vinod Kumar & Prakash Chauhan, 2023. "Coseismic deformation and source characterisation of the 21 June 2022 Afghanistan earthquake using dual-pass DInSAR," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 118(1), pages 843-857, August.
    2. Mariani, M.C. & Bezdek, P. & Serpa, L. & Florescu, I., 2011. "Ising type models applied to Geophysics and high frequency market data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4396-4402.
    3. Bertrand Rouet-Leduc & Romain Jolivet & Manon Dalaison & Paul A. Johnson & Claudia Hulbert, 2021. "Autonomous extraction of millimeter-scale deformation in InSAR time series using deep learning," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    4. Olga Sarychikhina & Ewa Glowacka & Braulio Robles, 2018. "Multi-sensor DInSAR applied to the spatiotemporal evolution analysis of ground surface deformation in Cerro Prieto basin, Baja California, Mexico, for the 1993–2014 period," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(1), pages 225-255, May.
    5. Yuming Wu & Hengxing Lan, 2022. "Study on the Deformation of Filling Bodies in a Loess Mountainous Area Based on InSAR and Monitoring Equipment," Land, MDPI, vol. 11(8), pages 1-17, August.

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