Laboratory landquakes: Insights from experiments into the high-frequency seismic signal generated by geophysical granular flows

Author:

Arran Matthew Iain1ORCID,Mangeney Anne1ORCID,de Rosny Julien2,Farin Maxime2ORCID,Toussaint Renaud34ORCID,Roche Olivier5ORCID

Affiliation:

1. Université de Paris, Institut de physique du globe de Paris, CNRS, F-75005 Paris, France

2. Laboratoire Ondes et Acoustique, Institut Langevin, ESPCI Paris, PSL University, CNRS, 75005 Paris, France

3. Université de Strasbourg, CNRS, Institut Terre et Environnement de Strasbourg, UMR 7063, F-67084 Strasbourg, France

4. SFF PoreLab, The Njord Centre, Department of Physics, University of Oslo, Oslo, Norway

5. Université Clermont Auvergne, CNRS, IRD, OPGC, Laboratoire Magmas et Volcans, F-63000 Clermont-Ferrand, France

Funder

FP7 Ideas: European Research Council

Publisher

Wiley

Reference98 articles.

1. Akaike H. (1971). Determination of the number of factors by an extended maximum likelihood principle (Tech. Rep.). Inst. Statist. Math.

2. A new look at the statistical model identification;Akaike H.;IEEE Transactions on Automatic Control,1974

3. On the likelihood of a time series model. Journal of the Royal Statistical Society;Akaike H.;Series D (The Statistician),1978

4. Measuring basal force fluctuations of debris flows using seismic recordings and empirical green’s functions;Allstadt K. E.;Journal of Geophysical Research: Earth Surface,2020

5. Allstadt K. E. Matoza R. S. Lockhart A. B. Moran S. C. Caplan-Auerbach J. Haney M. M. . . . Malone S. D. (2018). Seismic and acoustic signatures of surficial mass movements at volcanoes. Journal of Volcanology and Geothermal Research 364 76-106. Retrieved from http:// www.sciencedirect.com/science/article/pii/S0377027317306261 doi: 10.1016/j.jvolgeores.2018.09.007

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