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BIG DATABASES OF LOW IONOSPHERIC OBSERVATIONS: APPLICATION TO STUDY THE IONOSPHERIC DISTURBANCES DURING DISASTERS

Aleksandra Nina

First published: 2018-06-20https://doi.org/10.5593/sgem2018/2.2/s08.015View metrics

Abstract

The low ionospheric monitoring by very low and low frequency (VLF/LF) radio waves generates big databases containing information on high temporal resolution relevant to specific spatial areas. These data allow us to detect and model perturbations induced by different events. In this paper we present analyses of data relevant to periods around natural disasters. Our attention is focused on the tropical depressions which have been detected before the hurricane appearances in the Atlantic Ocean and the earthquake occurred on November 3, 2010 in Serbia, near Kraljevo. We describe possible types of variations and present a statistical study of low ionospheric perturbations recorded before, during and after beginnings of tropical depressions prior hurricanes. Here we explain importance of big databases and their comparison to detect ionosphere-lithosphere and ionosphere-troposphere connections in periods around the considered phenomena. Analyses of particular disturbances are based on data collected by the Belgrade VLF/LF receiver station. We consider signals emitted by the NAA transmitter located in the USA (for analysis of low ionospheric perturbations relevant for study of troposphere-ionosphere connections before hurricanes) and ICV transmitter located in Italy (for analysis relevant for low ionospheric variations in periods around the considered earthquake).

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Publication details

Title
BIG DATABASES OF LOW IONOSPHERIC OBSERVATIONS: APPLICATION TO STUDY THE IONOSPHERIC DISTURBANCES DURING DISASTERS
Authors
Aleksandra Nina
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2018
Pages
111-118
SWS Citekey
Nina20188111118
ISSN
1314-2704
ISBN
978-619-7408-40-9
Language
en
Publication type
Conference Paper
Keywords
ionospheric D-regionVLF/LF signalsnatural disasters
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