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Obara, K. (2010) Phenomenology of Deep Slow Earthquake Family in Southwest Japan: Spatiotemporal Characteristics and Segmentation. Journal of Geophysical Research: Solid Earth, 115, B00A25.
https://doi.org/10.1029/2008JB006048

has been cited by the following article:

  • TITLE: A Detection Method of Earthquake Precursory Anomalies Using the Four-Component Borehole Strainmeter

    AUTHORS: Xiangyang Kong, Kaizhi Su, Fujinawa Yukio, Noda Yoichi

    KEYWORDS: Borehole Strainmeter, Earthquake Observation Technology, Pre-Seismic Anomalies, Data Filtering

    JOURNAL NAME: Open Journal of Earthquake Research, Vol.7 No.2, May 31, 2018

    ABSTRACT: Strainmeters have been used to detect earthquake precursory anomalies in many countries. An innovated four-component strainmeter with four sensing units set at 45 degrees intervals, named SKZ strainmeter, was developed and used in China. The design, with a few unique features, allows high-sensitivity monitoring of the regime of the crustal strain field, as well as the self-consistencies of the instrument. One of the most difficult problems in the earthquake precursory investigation is to efficiently detect anomalies from large amount of data. Pattern recognition of waveforms is widely used, but it is time-consuming and relies more or less investigator’s experience and decision. In this study, the consistency factors of the paired components were firstly shown to be utilized to detect anomalies possibly related with imminent earthquakes. Here, rather than using the consistency factors, the correlation coefficients of the two orthogonal strain data were used to detect. SKZ strainmeters have been installed at more than ten sites in China, exhibited high efficiency and reliability in precursory monitoring since. Anomalous variations from a few stations during two recent earthquakes in south China were analyzed. During normal stages, diurnal earth tides could be clearly observed with very little urban noises. Though the consistency factors may have near constant bias, their correlation coefficients remain near 1.0, greater than 0.99. During the imminent preparatory stage of earthquake occurrence, non-planar strain may appear and the correlation coefficients drop noticeably. The analysis showed that the correlation coefficient between the two orthogonal components is a useful parameter in post-processing of the strain data to detect precursory anomalies. The resultant resolving power is shown to be some one-order larger compared with previous methods.