Investigation of the characteristics of geoelectric field signals prior to earthquakes using adaptive STFT techniques

An earthquake is one of the most destructive natural disasters that can occur, often killing many people and causing large material losses. Hence, the ability to predict earthquakes may reduce the catastrophic effects caused by this phenomenon. The geoelectric field is a feature that can be used to...

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Main Authors:	Astuti, Winda, Sediono, Wahju, Akmeliawati, Rini, Aibinu, Abiodun Musa, Salami, Momoh Jimoh Emiyoka
Format:	Article
Language:	English English
Published:	Copernicus GmbH (Copernicus Publications) 2013
Subjects:	TA495 Disasters and engineering TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/30091/ http://irep.iium.edu.my/30091/ http://irep.iium.edu.my/30091/ http://irep.iium.edu.my/30091/1/nhess-2012-460-manuscript-version2.pdf http://irep.iium.edu.my/30091/5/p.nhess-13-1679-2013.published.pdf

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recordtype	eprints
spelling	iium-300912013-07-27T01:18:20Z http://irep.iium.edu.my/30091/ Investigation of the characteristics of geoelectric field signals prior to earthquakes using adaptive STFT techniques Astuti, Winda Sediono, Wahju Akmeliawati, Rini Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka TA495 Disasters and engineering TK7885 Computer engineering An earthquake is one of the most destructive natural disasters that can occur, often killing many people and causing large material losses. Hence, the ability to predict earthquakes may reduce the catastrophic effects caused by this phenomenon. The geoelectric field is a feature that can be used to predict earthquakes (EQs) because of significant changes in the amplitude of the signal prior to an earthquake. This paper presents a detailed analysis of geoelectric field signals of earthquakes which occurred in 2008 in Greece. In 2008, 12 earthquakes occurred in Greece. Five of them were recorded with magnitudes greater than Ms = 5R (5R), while seven of them were recorded with magnitudes greater than Ms = 6R (6R). In the analysis, the 1st significant changes of the geoelectric field signal are detected. Then, the signal is segmented and windowed. The adaptive short-time Fourier transform (adaptive STFT) technique is then applied to the windowed signal, and the spectral analysis is performed thereafter. The results show that the 1st significant changes of the geoelectric field prior to an earthquake have a significant amplitude frequency spectrum compared to other conditions, i.e. normal days and the day of the earthquake, which can be used as input parameters for earthquake prediction. Copernicus GmbH (Copernicus Publications) 2013-06 Article PeerReviewed application/pdf en http://irep.iium.edu.my/30091/1/nhess-2012-460-manuscript-version2.pdf application/pdf en http://irep.iium.edu.my/30091/5/p.nhess-13-1679-2013.published.pdf Astuti, Winda and Sediono, Wahju and Akmeliawati, Rini and Aibinu, Abiodun Musa and Salami, Momoh Jimoh Emiyoka (2013) Investigation of the characteristics of geoelectric field signals prior to earthquakes using adaptive STFT techniques. Natural Hazards and Earth System Sciences, 13 (6). pp. 1679-1686. ISSN 1561-8633 http://www.nat-hazards-earth-syst-sci.net/13/1679/2013/nhess-13-1679-2013.html doi:10.5194/nhess-13-1679-2013, 2013
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TA495 Disasters and engineering TK7885 Computer engineering
spellingShingle	TA495 Disasters and engineering TK7885 Computer engineering Astuti, Winda Sediono, Wahju Akmeliawati, Rini Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka Investigation of the characteristics of geoelectric field signals prior to earthquakes using adaptive STFT techniques
description	An earthquake is one of the most destructive natural disasters that can occur, often killing many people and causing large material losses. Hence, the ability to predict earthquakes may reduce the catastrophic effects caused by this phenomenon. The geoelectric field is a feature that can be used to predict earthquakes (EQs) because of significant changes in the amplitude of the signal prior to an earthquake. This paper presents a detailed analysis of geoelectric field signals of earthquakes which occurred in 2008 in Greece. In 2008, 12 earthquakes occurred in Greece. Five of them were recorded with magnitudes greater than Ms = 5R (5R), while seven of them were recorded with magnitudes greater than Ms = 6R (6R). In the analysis, the 1st significant changes of the geoelectric field signal are detected. Then, the signal is segmented and windowed. The adaptive short-time Fourier transform (adaptive STFT) technique is then applied to the windowed signal, and the spectral analysis is performed thereafter. The results show that the 1st significant changes of the geoelectric field prior to an earthquake have a significant amplitude frequency spectrum compared to other conditions, i.e. normal days and the day of the earthquake, which can be used as input parameters for earthquake prediction.
format	Article
author	Astuti, Winda Sediono, Wahju Akmeliawati, Rini Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka
author_facet	Astuti, Winda Sediono, Wahju Akmeliawati, Rini Aibinu, Abiodun Musa Salami, Momoh Jimoh Emiyoka
author_sort	Astuti, Winda
title	Investigation of the characteristics of geoelectric field signals prior to earthquakes using adaptive STFT techniques
title_short	Investigation of the characteristics of geoelectric field signals prior to earthquakes using adaptive STFT techniques
title_full	Investigation of the characteristics of geoelectric field signals prior to earthquakes using adaptive STFT techniques
title_fullStr	Investigation of the characteristics of geoelectric field signals prior to earthquakes using adaptive STFT techniques
title_full_unstemmed	Investigation of the characteristics of geoelectric field signals prior to earthquakes using adaptive STFT techniques
title_sort	investigation of the characteristics of geoelectric field signals prior to earthquakes using adaptive stft techniques
publisher	Copernicus GmbH (Copernicus Publications)
publishDate	2013
url	http://irep.iium.edu.my/30091/ http://irep.iium.edu.my/30091/ http://irep.iium.edu.my/30091/ http://irep.iium.edu.my/30091/1/nhess-2012-460-manuscript-version2.pdf http://irep.iium.edu.my/30091/5/p.nhess-13-1679-2013.published.pdf
first_indexed	2023-09-18T20:44:11Z
last_indexed	2023-09-18T20:44:11Z
_version_	1777409564343271424

Investigation of the characteristics of geoelectric field signals prior to earthquakes using adaptive STFT techniques

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