Journal Article

Incorporating Foreshocks in an Epidemic-like Description of Seismic Occurrence in Italy

Eugenio Lippiello, Giuseppe Petrillo

2023

Overview

The Epidemic Type Aftershock Sequence (ETAS) model is a widely used tool for cluster analysis and forecasting, owing to its ability to accurately predict aftershock occurrences. However, its capacity to explain the increase in seismic activity prior to large earthquakes—known as foreshocks—has been called into question due to inconsistencies between simulated and experimental catalogs. To address this issue, we introduce a generalization of the ETAS model, called the Epidemic Type Aftershock Foreshock Sequence (ETAFS) model. This model has been shown to accurately describe seismicity in Southern California. In this study, we demonstrate that the ETAFS model is also effective in the Italian catalog, providing good agreement with the instrumental Italian catalogue (ISIDE) in terms of not only the number of aftershocks, but also the number of foreshocks—where the ETAS model fails. These findings suggest that foreshocks cannot be solely explained by cascades of triggered events, but can be reasonably considered as precursory phenomena reflecting the nucleation process of the main event.

• Publisher: MDPI AG
• Subject: Aftershocks / Analysis / Biology (General) / California / Chemistry / Earthquakes / Engineering (General). Civil engineering (General) / Epidemics / Fractals / numerical modeling / Physics / probabilistic forecasting / QC1-999 / QD1-999 / QH301-705.5 / Seismology / Spacetime / statistical seismology / statistical seismology; numerical modeling; probabilistic forecasting; time-series analysis / T / TA1-2040 / Technology / time-series analysis