The European Fault-Source Model 2020 (EFSM20): geologic input data for the European Seismic Hazard Model 2020

International audience Earthquake hazard analyses rely on seismogenic source models. These are designed in various fashions, such as point sources or area sources, but the most effective is the three-dimensional representation of geological faults. We here refer to such models as fault sources. This...

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Published in:Natural Hazards and Earth System Sciences
Main Authors: Basili, Roberto, Danciu, Laurentiu, Beauval, Céline, Sesetyan, Karin, Vilanova, Susana Pires, Adamia, Shota, Arroucau, Pierre, Atanackov, Jure, Baize, Stephane, Canora, Carolina, Caputo, Riccardo, Carafa, Michele Matteo Cosimo, Cushing, Edward Marc, Custódio, Susana, Demircioglu Tumsa, Mine Betul, Duarte, João, Ganas, Athanassios, García-Mayordomo, Julián, Gómez de la Peña, Laura, Gràcia, Eulàlia, Jamšek Rupnik, Petra, Jomard, Hervé, Kastelic, Vanja, Maesano, Francesco Emanuele, Martín-Banda, Raquel, Martínez-Loriente, Sara, Neres, Marta, Perea, Hector, Šket Motnikar, Barbara, Tiberti, Mara Monica, Tsereteli, Nino, Tsironi, Varvara, Vallone, Roberto, Vanneste, Kris, Zupančič, Polona, Giardini, Domenico
Other Authors: Istituto Nazionale di Geofisica e Vulcanologia, Swiss Seismological Service ETH Zurich (SED), Institute of Geophysics ETH Zürich, Department of Earth Sciences Swiss Federal Institute of Technology - ETH Zürich (D-ERDW), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology Zürich (ETH Zürich)-Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology Zürich (ETH Zürich)-Department of Earth Sciences Swiss Federal Institute of Technology - ETH Zürich (D-ERDW), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology Zürich (ETH Zürich)-Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology Zürich (ETH Zürich), Institut des Sciences de la Terre (ISTerre), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Gustave Eiffel-Observatoire des Sciences de l'Univers de Grenoble (Fédération OSUG)-Université Grenoble Alpes (UGA), Boǧaziçi üniversitesi = Boğaziçi University Istanbul, Instituto Superior Técnico, Technical University of Lisbon, I. Javakhishvili Tbilisi State University, EDF-DIPNN-DI-TEGG, Aix-en-Provence, Geological Survey of Slovenia (GeoZS), Bureau d'évaluation des risques sismiques pour la sûreté des installations (IRSN/PSE-ENV/SCAN/BERSSIN), Service de caractérisation des sites et des aléas naturels (IRSN/PSE-ENV/SCAN), Institut de Radioprotection et de Sûreté Nucléaire (IRSN)-Institut de Radioprotection et de Sûreté Nucléaire (IRSN), Universidad Autónoma de Madrid (UAM), Università degli Studi di Ferrara = University of Ferrara (UniFE), Instituto Dom Luiz, FFCUL, VAT 503183504, Lisboa, Turkish Earthquake Foundation (Istanbul), Instituto Dom Luiz, Universidade de Lisboa = University of Lisbon = Université de Lisbonne (ULISBOA), National Observatory of Athens (NOA), Instituto Geológico y Minero de España (IGME), Helmholtz Centre for Ocean Research Kiel (GEOMAR), Instituto de Historia, CSIC (IH-CSIC), Consejo Superior de Investigaciones Cientificas España = Spanish National Research Council Spain (CSIC), Instituto Geológico y Minero de España Granada, Institute of Marine Sciences / Institut de Ciències del Mar Barcelona (ICM), Slovenian Environment Agency, Ivane Javakhishvili Tbilisi State University (TSU), Royal Observatory of Belgium = Observatoire Royal de Belgique (ROB), Departement Erdwissenschaften ETH Zürich (D-ERDW), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology Zürich (ETH Zürich), Italian Ministry of University and Research, European Project: 730900,SERA
Format: Article in Journal/Newspaper
Language:English
Published: CCSD 2024
Subjects:
Online Access:https://asnr.hal.science/irsn-04844183
https://asnr.hal.science/irsn-04844183v1/document
https://asnr.hal.science/irsn-04844183v1/file/nhess-24-3945-2024.pdf
https://doi.org/10.5194/nhess-24-3945-2024
Description
Summary:International audience Earthquake hazard analyses rely on seismogenic source models. These are designed in various fashions, such as point sources or area sources, but the most effective is the three-dimensional representation of geological faults. We here refer to such models as fault sources. This study presents the European Fault-Source Model 2020 (EFSM20), which was one of the primary input datasets of the recently released European Seismic Hazard Model 2020. The EFSM20 compilation was entirely based on reusable data from existing active fault regional compilations that were first blended and harmonized and then augmented by a set of derived parameters. These additional parameters were devised to enable users to formulate earthquake rate forecasts based on a seismic-moment balancing approach. EFSM20 considers two main categories of seismogenic faults: crustal faults and subduction systems, which include the subduction interface and intraslab faults. The compiled dataset covers an area from the Mid-Atlantic Ridge to the Caucasus and from northern Africa to Iceland. It includes 1248 crustal faults spanning a total length of ∼95 100 km and four subduction systems, namely the Gibraltar, Calabrian, Hellenic, and Cyprus arcs, for a total length of ∼2120 km. The model focuses on an area encompassing a buffer of 300 km around all European countries (except for Overseas Countries and Territories) and a maximum of 300 km depth for the subducting slabs. All the parameters required to develop a seismic source model for earthquake hazard analysis were determined for crustal faults and subduction systems. A statistical distribution of relevant seismotectonic parameters, such as faulting mechanisms, slip rates, moment rates, and prospective maximum magnitudes, is presented and discussed to address unsettled points in view of future updates and improvements. The dataset, identified by the DOI https://doi.org/10.13127/efsm20 (Basili et al., 2022), is distributed as machine-readable files using open standards (Open ...