2024
DOI: 10.5194/egusphere-2023-3062
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The 2020 European Seismic Hazard Model: Overview and Results

Laurentiu Danciu,
Domenico Giardini,
Graeme Weatherill
et al.

Abstract: Abstract. The 2020 update of the European Seismic Hazard Model (ESHM20) is the most recent and up-to-date assessment of seismic hazard for the Euro-Mediterranean region. The new model, publicly released in May 2022, incorporates refined and cross-border harmonised earthquake catalogues, homogeneous tectonic zonation, updated active faults datasets and geological information, complex subduction sources, updated area source models, a smoothed seismicity model with an adaptive kernel optimised within each tectoni… Show more

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Cited by 6 publications
(1 citation statement)
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“…
The primary aim of this research is to investigate how geodetic monitoring can offer valuable constraints to enhance the accuracy of the source model in probabilistic seismic hazard assessment. We leverage the release of geodetic strain rate maps for Europe, as derived by Piña-Valdés et al (2022), and the ESHM20 source model by Danciu et al (2024) to compare geodetic and seismic moment rates across Europe, a geographically extensive region characterized by heterogeneous seismic activity. Seismic moment computation relies on the magnitude-frequency distribution proposed in the ESHM20 source model logic tree, which is based on earthquake catalogs and fault datasets.
…”
mentioning
confidence: 99%
“…
The primary aim of this research is to investigate how geodetic monitoring can offer valuable constraints to enhance the accuracy of the source model in probabilistic seismic hazard assessment. We leverage the release of geodetic strain rate maps for Europe, as derived by Piña-Valdés et al (2022), and the ESHM20 source model by Danciu et al (2024) to compare geodetic and seismic moment rates across Europe, a geographically extensive region characterized by heterogeneous seismic activity. Seismic moment computation relies on the magnitude-frequency distribution proposed in the ESHM20 source model logic tree, which is based on earthquake catalogs and fault datasets.
…”
mentioning
confidence: 99%