JpGU-AGU Joint Meeting 2020

講演情報

[E] 口頭発表

セッション記号 S (固体地球科学) » S-SS 地震学

[S-SS07] 地震予知・予測+PEGC(仮)

コンビーナ:大林 政行(独立行政法人海洋研究開発機構 火山・地球内部研究センター)、馬場 俊孝(徳島大学大学院産業理工学研究部)、Chi-Yu King(Retired)

[SSS07-04] Dilation of a sheared granular model experiment of earthquake to serve as a possible precursor

*Victor Simon Levy dit Vehel1Florine DubourgLoic Vanel1Knut Jørgen Måløy2Osvanny Ramos1 (1.Institut Lumiere Matiere Lyon 1、2.University of Oslo)

キーワード:Earthquake, Shearing, Precursors, Dilation

Earthquake forecast has long been an objective for geoscience, resisting scientific efforts for more than a century. This difficulty stems in part from the very large spectrum of time and energy scales, a feature required of physics-earthquake analogies [1]. There are indications that any progress in prediction will come not from any single observable, but more likely in the form of a probabilistic combination (either analytical or based on recent machine-learning progress [2]) of many signals and measurements. The search for precursory signals had lead to a wide variety of candidates, such as slow-slip events [3] or low-frenquency changes. New precursors can be searched either in real-world data, or through model experiment – we focus on the later approach.
We present a granular shear experiment in a cylindrical couette geometry [1] which creates artificial quakes in the form of acoustic burst or mechanical energy release. This system has been shown to exhibit quantitative agreement to several key statistical features of earthquakes (Gutenberg-Richter law, Omori law, inter-event time distribution [4]). Additionally, the dilation of the granular medium is monitored during an experimental. This dilation increases on average prior to large events [5]. Furthermore, we show the link between average dilation increase and upcoming events hold for several magnitudes.

[1] S. Lherminier, R. Planet, V. Levy dit vehel, G. Simon, K. J. Måløy, L. Vanel & O.Ramos : Continuously sheared granular matter reproduces in detail seismicity laws, Phys. Rev. Lett. 122, 218501 (2019)

[2] B. Rouet-Leduc, C. Hulbert, P. A. Johnson : Continuous chatter of the Cascadia subduction zone revealed by machine learning, Nature Geosci., 12, 75-79 (2019)

[3] Bryan M. Kaproth, C. Marone : Slow Earthquakes, Preseismic Velocity Changes, and the Origin of Slow Frictional Stick-Slip, Science 341, 1229-1232 (2013)

[4] A Corral : Long-term clustering, scaling, and universality in the temporal occurrence of earthquakes, Phys. Rev. Lett. 92, 108501 (2004)

[5] V. Levy dit Vehel, F. Dubourg, L. Vanel, K. J. Måløy, & O.Ramos : Evolution of the distance between plates in an experimental granular fault. Implications for earthquake forecast, RNL 2018 proceedings (2018)