Abstract

The Northern Sicily, September 6, 2002 earthquake (Ml = 5.6, MW = 5.9) is investigated under macroseismic aspect: peculiar effects are collected besides standard effects normally used to define Mercalli-Cancani-Sieberg (MCS) intensity. They include sound heard during the quake, fear felt and a simple qualitative description of ground movement felt. Spatial coverage of such information is dense enough to be statistically processed, to give an interpolated, smoothed field for each data type. Sound heard is compared with theoretical sound field produced considering source geometry and transmission of waves to air, it also confirms the Southern Sicily amplification disclosed by macroseismic intensity values. Fear felt is also in agreement with macroseismic intensity field while type of ground motion is a partly independent aspect.

Highlights

  • The principal aim of a macroseismic investigation is to define an intensity field following a specific intensity scale

  • Many people reported having heard a rumble shortly before or during the earthquake. Information on this effect was collected in two ways: one was a questionnaire aimed at describing the sound heard that people voluntarily compiled on line; the other was the standard macroseismic questionnaire in which a question was pertinent to the hearing of earthquake sounds during the quake

  • Answers on simple perception of sound heard during the quake, fear felt and description of felt ground movement were systematically collected for the event that struck Sicily on September 6, 2002

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Summary

Introduction

The principal aim of a macroseismic investigation is to define an intensity field following a specific intensity scale. Within this paper some not-standard effects are presented because they received a sufficient spatial completeness of data. The questionnaire comprises 80 questions mainly based on the effects described by MCS intensity scale. Intensity data were filtered and interpolated using a kriging method based on a modeled experimental semivariogram connected to a fractal dimension of intensity data. This choice permitted a separation of regional field from noise (De Rubeis et al, 2003)

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