• Title/Summary/Keyword: wavelet semblance

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Wavelet Based Semblance and Eigenvalue Analysis for Geomagnetic Variation Related to Micro-Earthquakes in the Korean Peninsula

  • Ji, Yoon-Soo;Oh, Seok-Hoon;Kim, Ki-Yeon
    • Journal of the Korean earth science society
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    • v.33 no.5
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    • pp.408-421
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    • 2012
  • The objective of this paper is to apply a newly developed wavelet-based semblance filtering and eigenvalue analysis to investigate the geomagnetic variations in some micro-earthquakes that had occurred in the Korean Peninsula. The wavelet-based filtering showed improved results in delineating the geomagnetic variations in relation to earthquake events from their background field. In addition, the eigenvalues analysis was also useful for the interpretation of three components geomagnetic fields during the earthquake events. The wavelet-based semblance analysis showed a prominent result for short-term geomagnetic variation related to the earthquake event, and the eigenvalue analysis was feasible to long-term geomagnetic variation. Considering the fact that the basement rock of the Korean Peninsula has a highly resistive electrical structure, it seems to be possible for small magnitude earthquakes to generate some distinguished geomagnetic variations.

Wavelet-based Semblance Filtering of Geophysical Data and Its Application (웨이블릿 기반 셈블런스를 이용한 지구물리 자료의 필터링과 응용)

  • Oh, Seok-Hoon;Suh, Baek-Soo;Im, Eun-Sang
    • Journal of the Korean earth science society
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    • v.30 no.6
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    • pp.692-698
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    • 2009
  • Wavelet transform has been widely used in terms that it may overcome the shortcoming of conventional Fourier transform. Fourier transform has its difficulty to explain how the transformed domain, frequency, is related with time. Traditional semblance technique in Fourier transform was devised to compare two time series on the basis of their phase as a function of frequency. But this method is known not to work well for the non-stationary signal. In this study, we present two applications of the wavelet-based semblance method to geophysical data. Firstly, we show filtered geomagnetic signal remained with components of high correlation to each observatory. Secondly, highly correlated residual signal of gravity and magnetic survey data, which are also filtered by this semblance method, is present.

Acoustic waveform modeling and its problems

  • Zhao, Weijun;Kim, Yeong-Hwa
    • 한국지구물리탐사학회:학술대회논문집
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    • 2007.06a
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    • pp.191-196
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    • 2007
  • The acoustic array waveforms are simulated in a simple borehole model for both monopole and dipole sources. The model is based on the parameters obtained by the semblance processing of field waveforms collected on the physical models whose physical parameters are known. Both the synthetic and field waveforms are compared to understand the sonic waveform as well as the source wavelet characteristics.

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Sakurajima volcano eruption detected by GOCI and geomagnetic variation analysis - A case study of the 18 Aug, 2013 eruption - (천리안 위성영상에 감지된 사쿠라지마 화산분화와 지자기 변동 분석 연구 - 2013년 8월 18일 분화를 중심으로 -)

  • Kim, Kiyeon;Hwang, Eui-Hong;Lee, Yoon-Kyung;Lee, Chang-Wook
    • Korean Journal of Remote Sensing
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    • v.30 no.2
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    • pp.259-274
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    • 2014
  • On Aug 18, 2013, Sakurajima volcano in Japan erupted on a relatively large-scale. Geostationary Ocean Color Imager (GOCI) had used to detect volcanic ash in the surrounding area on the next day of this eruption. The geomagnetic variation has been analyzed using geomagnetic data from Cheongyang observatory in Korea and several geomagnetic observatories in Japan. First, we reconstruct geomagnetic data by principal component analysis and conduct semblance analysis by wavelet transform. Secondly, we minimize the error of solar effect by using wavelet based semblance filtering with Kp index. As a result of this study, we could confirm that the geomagnetic variation usually occur at the moment of Sakurajima volcano eruption. However, we cannot rule out the possibilities that it could have been impacted by other factors besides volcanic eruption in other variation's cases. This research is an exceptional study to analyze geomagnetic variation related with abroad volcanic eruption uncommonly in Korea. Moreover, we expect that it can help to develop further study of geomagnetic variation involved in earthquake and volcanic eruption.

An Analysis of Geomagnetic Variations Related to Earthquakes Location which Occurred in and around the Korean Peninsula from 2012 to 2014 (지진 위치와 관련된 지자기장 변동성 분석: 2012년부터 2014년까지 한반도 지역 발생 지진을 중심으로)

  • Min, Dongmin;Oh, Seokhoon;Ji, Yoonsoo
    • Journal of the Korean earth science society
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    • v.36 no.7
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    • pp.649-660
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    • 2015
  • This study aimed at the correlation analysis of geomagnetic variations related to earthquakes which occurred in and around the Korean Peninsula from 2012 to 2014. The wavelet-based semblance technique was used to confirm the geomagnetic variations related to earthquakes. As a result, a pattern of consistent geomagnetic variations in total magnetic has been found from the earthquakes occurred within 100 km radius around the observation site. A similar correlation between earthquake location and Z-field geomagnetic data was also confirmed by the wavelet-based semblance analysis. We mainly used the high quality geomagnetic measurements from the Cheongyang Observatory and additionally used the data from the Bohyunsan Observatory in order to validate the correlation between earthquake and Z-field geomagnetic data.

Variation Analysis of Geomagnetic Data Observed Around the Event of Andong Earthquake (May 2, 2009) (안동지진(2009년 5월 2일) 발생 기간 지자기장 자료의 변동성 분석)

  • Oh, Seok-Hoon
    • Journal of the Korean earth science society
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    • v.30 no.6
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    • pp.683-691
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    • 2009
  • Geomagnetic variation around May 2, 2009 when Angdong earthquake broke out was analyzed using the data recorded at the Cheong-yang geomagnetic observatory, KMA. Firstly, we predict the geomagnetic variation by PCA analysis of geomagnetic data, and then compare the predicted value with the observed data to find any significant differences in residuals. Secondly, wavelet semblance technique is applied to compare the time series before and after the earthquake. Some meaningful change is detected in the Z-field. Thirdly, eigen value analysis for the 3 component geomagnetic data is performed. The location of the observatory was too far from the epicenter and the magnitude was too small to find decisive precursory phenomenon. Nevertheless we can detect some significant correlation between the earthquake and the variation of the geomagnetic field. Various signal processing methods applied in this study will give some opportunity to find precursory effects in the future.

Analysis of Geomagnetic Variations Related to Earthquakes Occurred in and Around the Korean Peninsula from 2009 until 2011 (지난 3년 동안(2009-2011) 한반도 지역에서 발생한 지진의 지자기 변동성 분석)

  • Oh, Seokhoon;Ji, Yoonsoo
    • Journal of the Korean earth science society
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    • v.35 no.6
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    • pp.429-438
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    • 2014
  • Recent three years of geomagnetic data were analyzed using a method of Principal Component Analysis (PCA) and Wavelet Based Semblance Analysis to investigate any geomagnetic variation caused by earthquakes. This method predicts the geomagnetic variation using the PCA analysis of geomagnetic data, then compares the predicted geomagnetic field with the observation of finding any significant residual. Although it is well known that geomagnetic variation is related with earthquake, most analyses have been limited to some specific cases reflecting the correlation. In this study, we analyze seventeen cases of earthquakes that occurred in and around the Korean peninsula from 2009 to 2011 and that show the precursory and co-seismic relation between the earthquakes and geomagnetic variations.