Testing Fault Models in Intraplate Settings: A Potential for Challenging the Seismic Hazard Assessment Inputs and Hypothesis?
Active faults in intraplate settings, exhibiting slow deformation, rarely expose clear morphotectonic expressions. In many cases, their characterization relies only on rare neotectonic slip rates, often integrated over the Holocene, Quaternary or Plio-Quaternary. In addition, the strain accumulated along these tectonic structures and therefore their locking depth and associated slip deficit usually remains out of reach of geodetic measurements. Finally, the micro-seismicity located in the vicinity of most of these structures usually fails in delineating clear active fault segments geometry. The seismogenic potential therefore remains tainted with large uncertainties. It is one of the main reasons why very little attention has been paid to testing how French seismicity compares to the predictions of tectonic models. In this work, focused on South-Eastern France, we confront the potentially active faults database of the French metropolitan territory with a recently published catalog of historical and instrumental seismicity. Seismicity rates are corrected for completeness biases and are then compared to the predictions of several endmember tectonic models. The rates of earthquakes predicted by the tectonic models appear six to eighteen times higher than the historical and instrumental observations. Such a difference could be explained by an overestimation of the seismogenic potential of the faults or by different average seismicity rates at historical and longer-term timescales. This variation, if genuine, could be implied by spatiotemporally clustered seismicity due to tectonic or non-tectonic modulations suggesting non-poissonian behavior of the largest earthquakes.
KeywordsActive fault seismogenic potential stable continental region seismic hazard testing
We thank Myrtille Kuperminc who tested early fault model endmembers. This work is part of work package 1 “faults and tectonics” of the Sigma2 Project. This research was funded by CEA. We acknowledge the detailed review provided by Petr Spacek and an anonymous reviewer.
- AIST (2012). National Institute of Advanced Industrial Science and Technology. Active Fault Database of Japan, February 28, 2012 version. Research Information Database DB095, National Institute of Advanced Industrial Science and Technology. https://gbank.gsj.jp/activefault/index_e_gmap.html. Accessed 12 Feb 2019.
- Avouac, J. P. (2015). From geodetic imaging of seismic and aseismic fault slip to dynamic modeling of the seismic cycle. Annual Review of Earth and Planetary Sciences, 43, 233–271. https://doi.org/10.1146/annurev-earth-060614-105302.CrossRefGoogle Scholar
- Basili, R., Valensise, G., Vannoli, P., Burrato, P., Fracassi, U., Mariano, S., et al. (2008). The Database of Individual Seismogenic Sources (DISS), version 3: summarizing 20 years of research on Italy’s earthquake geology. Tectonophysics, 453(1–4), 20–43. https://doi.org/10.1016/j.tecto.2007.04.014.CrossRefGoogle Scholar
- Berge-Thierry, C., Hollender, F., Guyonnet-Benaize, C., Baumont, D., Ameri, G., & Bollinger, L. (2017). Challenges ahead for nuclear facility site-specific seismic hazard assessment in France: the alternative energies and the Atomic Energy Commission (CEA) Vision. Pure and Applied Geophysics, 174, 3609. https://doi.org/10.1007/s00024-017-1582-2.CrossRefGoogle Scholar
- Bonté, D., Guillou-Frottier, L., Garibaldi, C., Bourgine, B., Lopez, S., Bouchot, V., et al. (2010). Subsurface temperature maps in French sedimentary basins: new data compilation and interpolation. Bulletin de la Société Géologique de France, 181(4), 377–390. https://doi.org/10.2113/gssgfbull.181.4.377.CrossRefGoogle Scholar
- BRGM, EDF, IRSN (2014). Base de données nationale de la sismicité historique SisFrance.Google Scholar
- BRGM, Service géologique national, Chantraine, J., Autran, A., Cavelier, C., & Clozier, L. (1996). Carte géologique de la France à l’échelle du millionième. Bureau de recherches géologiques et minières.Google Scholar
- Camelbeeck, T., Vanneste, K., Alexandre, P., Verbeeck, K., Petermans, T., Rosset, P., et al. (2007). Relevance of active faulting and seismicity studies to assessments of long-term earthquake activity and maximum magnitude in intraplate northwest Europe, between the Lower Rhine Embayment and the North Sea. In S. Stein & S. Mazzotti (Eds.), Continental Intraplate Earthquakes: Science, Hazard, and Policy Issues (pp. 193–224). Boulder: Geological Society of America.CrossRefGoogle Scholar
- Chartier, T., Scotti, O., Clément, C., Jomard, H., & Baize, S. (2017a). Transposing an active fault database into a fault-based seismic hazard assessment for nuclear facilities–Part 2: Impact of fault parameter uncertainties on a site-specific PSHA exercise in the Upper Rhine Graben, eastern France. Natural Hazards and Earth System Sciences, 17(9), 1585–1593. https://doi.org/10.5194/nhess-17-1573-2017.CrossRefGoogle Scholar
- Chartier, T., Scotti, O., Lyon-Caen, H., & Boiselet, A. (2017b). Methodology for earthquake rupture rate estimates of fault networks: example for the western Corinth rift, Greece. Natural Hazards and Earth System Sciences, 17(10), 1857–1869. https://doi.org/10.5194/nhess-17-1857-2017.CrossRefGoogle Scholar
- Craig, T. J., Calais, E., Fleitout, L., Bollinger, L., & Scotti, O. (2016). Evidence for the release of long-term tectonic strain stored in continental interiors through intraplate earthquakes. Geophysical Research Letters, 43(13), 6826–6836. https://doi.org/10.1002/2016GL069359.CrossRefGoogle Scholar
- DISS Working Group (2018), Database of Individual Seismogenic Sources (DISS), Version 3.2.1: A compilation of potential sources for earthquakes larger than M 5.5 in Italy and surrounding areas. http://diss.rm.ingv.it/diss/, Istituto Nazionale di Geofisica e Vulcanologia; https://doi.org/10.6092/ingv.it-diss3.2.1.
- Field, E.H., Biasi, G.P., Bird, P., Dawson, T.E., Felzer, K.R., Jackson, D.D., Johnson, K.M., Jordan, T.H., Madden, C., Michael, A.J., Milner, K.R., Page, M.T., Parsons, T., Powers, P.M., Shaw, B.E., Thatcher, W.R., Weldon, R.J., II, and Zeng, Y., (2013). Uniform California earthquake rupture forecast, version 3 (UCERF3)—The time-independent model: U.S. Geological Survey Open-File Report 2013–1165, 97 p., California Geological Survey Special Report 228, and Southern California Earthquake Center Publication 1792, http://pubs.usgs.gov/of/2013/1165/.
- Jomard, H., Cushing, E. M., Palumbo, L., Baize, S., David, C., & Chartier, T. (2017). Transposing an active fault database into a seismic hazard fault model for nuclear facilities–Part 1: Building a database of potentially active faults (BDFA) for metropolitan France. Natural Hazards and Earth System Sciences, 17(9), 1573–1584. https://doi.org/10.5194/nhess-17-1573-2017.CrossRefGoogle Scholar
- King, G. C., Stein, R. S., & Lin, J. (1994). Static stress changes and the triggering of earthquakes. Bulletin of the Seismological Society of America, 84(3), 935–953.Google Scholar
- RFS 2001-01. (2001). French Safety Rule, published by the French Nuclear Safety Authority. https://www.asn.fr/Reglementer/Regles-fondamentales-de-surete/RFS-relatives-aux-REP/RFS-2001-1-RFS-I.1.c.-du-31-05-2001. Accessed 12 Feb 2019.
- Stein, R. S., Barka, A. A., & Dieterich, J. H. (1997). Progressive failure on the North Anatolian fault since 1939 by earthquake stress triggering. Geophysical Journal International, 128(3), 594–604. https://doi.org/10.1111/j.1365-246X.1997.tb05321.x.CrossRefGoogle Scholar
- Stocchi, P., Spada, G., & Cianetti, S. (2005). Isostatic rebound following the Alpine deglaciation: impact on the sea level variations and vertical movements in the Mediterranean region. Geophysical Journal International, 162, 137–147. https://doi.org/10.1111/j.1365-246X.2005.02653.x.CrossRefGoogle Scholar
- Traversa, P., Baumont, D., Manchuel, K., Nayman, E., & Durouchoux, C. (2018). Exploration tree approach to estimate historical earthquakes Mw and depth, test cases from the French past seismicity. Bulletin of Earthquake Engineering, 16(6), 2169–2193. https://doi.org/10.1007/s10518-017-0178-7.CrossRefGoogle Scholar