Seismic history from in situ 36Cl cosmogenic nuclide data on limestone fault scarps using Bayesian reversible jump Markov chain Monte Carlo

Abstract : Constraining the past seismic activity and the slip-rates of faults over several millennials is crucial for seismic hazard assessment. Chlorine 36 (36 Cl) in situ produced cosmogenic nuclide is increasingly used to retrieve past earthquakes histories on seismically exhumed limestone normal fault-scarps. Following Schlagenhauf et al., (2010) modelling approach, we present a new methodology to retrieve the exhumation history based on a Bayesian transdimensional inversion of the 36 Cl data. This procedure uses the reversible jump Markov chains Monte-Carlo algorithm (RJ-MCMC, Green 1995) which enables 1-exploring the parameter space (number of events, age and slip of the events), 2-finding the most probable scenarios, and 3- precisely quantifying the associated uncertainties. Through a series of synthetic tests, the algorithm revealed a great capacity to constrain event slips and ages in a short computational time (several days) with a precision that can reach 0.1 ky and 0.5 m for the age and slip ofexhumation event, respectively. In addition, our study show that the amount of 36 Cl accumulated when the sampled fault-plane was still buried under the colluvial wedge, prior its exhumation, might represents up to 35 % of the total 36 Cl. This contribution can be accurately 25 determined with a depth profile that strongly increases the precision of the exhumation scenario.
Complete list of metadatas

Cited literature [35 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02390432
Contributor : Lucilla Benedetti <>
Submitted on : Friday, December 6, 2019 - 10:33:26 AM
Last modification on : Saturday, December 7, 2019 - 1:24:11 AM

File

Tesson&BenedettiQuaGeoaccepted...
Files produced by the author(s)

Identifiers

Collections

Citation

J. Tesson, Lucilla Benedetti, Jump Markov, Monte Carlo. Seismic history from in situ 36Cl cosmogenic nuclide data on limestone fault scarps using Bayesian reversible jump Markov chain Monte Carlo. Quaternary Geochronology, Elsevier, 2019, 52, pp.1-20. ⟨10.1016/j.quageo.2019.02.004⟩. ⟨hal-02390432⟩

Share

Metrics

Record views

65

Files downloads

28