Turbidite correlation for paleoseismology

Author:

Nieminski Nora M.1,Sylvester Zoltán2,Covault Jacob A.2,Gomberg Joan3,Staisch Lydia4,McBrearty Ian W.5

Affiliation:

1. 1Alaska Division of Geological & Geophysical Surveys, Anchorage, Alaska 99508, USA

2. 2Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, Texas 78758, USA

3. 3U.S. Geological Survey, Earthquake Science Center, Seattle, Washington 98104, USA

4. 4U.S. Geological Survey, Geology Minerals Energy and Geophysics Science Center, Portland, Oregon 97201, USA

5. 5Department of Geophysics, Stanford University, Stanford, California 94305, USA

Abstract

Marine turbidite paleoseismology relies on the assumption of synchronous triggering of turbidity currents by earthquake shaking to infer rupture extent and recurrence. Such inference commonly depends on age dating and correlation of the physical stratigraphy of deposits carried by turbidity currents (i.e., turbidites) across great distances. Along the Cascadia subduction zone, which lies offshore the Pacific Northwest, USA, turbidite facies in core photographs, X-ray computed tomography images, and magnetic susceptibility (MS) data exhibit differences in character over relatively short distances, which implies that not all deposits can be correlated with confidence. Thus, subjective correlation based on expected similarity over great distances and weak age constraints does not independently support paleoseismic models. We present a new method for correlating turbidites along the Cascadia margin that can yield a more objective and repeatable stratigraphic framework to underpin earthquake recurrence. We use dynamic time warping to correlate MS logs and measure correlation coefficients of core pairs to evaluate correlation strength. We then compare these measures to a distribution of correlation coefficients of randomly generated turbidite sequences and find that only a small number of core pairs can be correlated more confidently than randomly stacked turbidites. This methodology promises a more robust correlation strategy for future stratigraphic studies.

Publisher

Geological Society of America

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