We study the statistical properties of time intervals between successive earthquakes for a given magnitude in the El Salvador volcanic chain, namely hereafter the interoccurrence times employing both the cumulative Poisson and the Weibull probability distributions. The dataset comprises magnitudes between M 4.0 and 6.93 within the years 1528–2018. We suggest that ITs pose the Weibull distribution for all events and that the Poisson distribution co-exists for ITs longer than the Weibull mean. Based on the probabilities distribution fit, we compute for engineering purposes ground motion and elastic response spectra for 5% damping employing time-dependent and independent seismic hazard models at San Salvador city, observing covariance of less than 7% amongst the models. The disaggregation analysis suggests that a magnitude 6.3 contributes most to the hazard and coincides with the magnitude bin of 6.25–6.50, which has the maximum conditional probability in the time-dependent model (after Salazar, W. 2021).
Dr. Walter Salazar is a structural civil engineer who obtain a doctoral degree in Engineering Seismology from the Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Japan, in 2004. Dr. Salazar has been active in site-effects and seismic hazard research, producing several peer-reviewed maps for El Salvador, Jamaica, and the Eastern Caribbean. He has published sixty articles in peer-reviewed journals, books, and international conferences. In 2011, he received a Distinguished Salvadoran National Award. He is a peer reviewer for several scientific journals. Dr. Salazar is a Professor of Structural Engineering at the Catholic University of El Salvador.
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