Calibration of a Bayesian spatio-temporal ETAS model to the June 2000 South Iceland seismic sequence

نویسندگان

چکیده

SUMMARY The reliable forecasting of seismic sequences following a main shock has practical implications because effective post-event response is crucial in earthquake-stricken regions, aftershocks can progressively cause increased damage and compound economic losses. In the South Iceland Seismic Zone (SISZ), one two large transform zones where earthquake hazard highest, an intense sequence took place during 17–24 June 2000, starting with ${M}_{\rm{w}}$ 6.4 on 17 followed by another 6.5 four days later different fault. Both earthquakes caused considerable incurred heavy They were immediately aftershock activity causative faults triggered as far 80 km away along zone. To investigate feasibility progression such complex sequences, we calibrated spatio-temporal epidemic-type (ETAS) clustering model to 2000 framework Bayesian statistics. Short-term seismicity forecasts carried out for various intervals compared observations, first generated few hours after daily forecasts. reliability early was seen depend initial parameters. By using adaptive parameter inference approach posteriors from each preceding interval served informative priors next, fast convergence parametric values ensured. As result, 16–84 percentile range forecasted number events captured actual observed all forecasts, exhibited strong spatial ability, even only shock, over subsequent We present ETAS parameters ideal candidates prior estimates future operational other Icelandic sequences. Past need be analysed retrospectively confirm stability this study, effectively enable application system Iceland.

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ژورنال

عنوان ژورنال: Geophysical Journal International

سال: 2022

ISSN: ['1365-246X', '0956-540X']

DOI: https://doi.org/10.1093/gji/ggac387