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JOINT ANALYSIS OF VARIOUS PRECURSORS OF SEISMIC EVENTS USING REMOTE SENSING DATA AT THE EXAMPLE OF EARTHQUAKE IN ITALY (24.08.2016, M6.2)

Dr., Prof. Valery Bondur, Marina Tsidilina, Elena Gaponova

First published: 2017-06-20https://doi.org/10.5593/sgem2017/23/s10.019View metrics

Abstract

This paper presents the results of joint processing of satellite data providing record of ionospheric parameter anomalies, thermal anomalies and dynamics of lineament systems during the preparation and occurrence of a strong earthquake (M6.2, 24.08.2016, Italy). We describe the methodology for joint analysis of various geophysical parameters in monitoring of seismic areas. Based on the results of step-bystep processing of satellite data, it was demonstrated that 2 months before the seismic event, an increase in the number of regional lineament systems of the NW-SE direction began; one month before, the growth of secant lineaments began. An anomaly of outgoing long-wave radiation was recorded in the epicentral area of the earthquake; anomalies of land surface temperature were observed a week before the earthquake. Four days before the seismic event, a decrease in the ionospheric electron density was observed, and its increase was recorded the day before and immediately on the day of the earthquake. According to the obtained results, we conclude that anomalous variations of the studied geophysical fields are earthquake precursors.

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Publication details

Title
JOINT ANALYSIS OF VARIOUS PRECURSORS OF SEISMIC EVENTS USING REMOTE SENSING DATA AT THE EXAMPLE OF EARTHQUAKE IN ITALY (24.08.2016, M6.2)
Authors
Dr., Prof. Valery Bondur, Marina Tsidilina, Elena Gaponova
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
149-162
SWS Citekey
Bondur201710149162
ISSN
1314-2704
ISBN
978-619-7408-03-4
Language
en
Publication type
Conference Paper
Keywords
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Number of times cited according to Crossref: 2

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