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Detection and reduction of precipitation effects in geoelectrical potential difference data
Author(s) -
Saito Shota,
Hattori Katsumi,
Kaida Daishi,
Yoshino Chie,
Han Peng,
Febriani Febty
Publication year - 2013
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.22301
Subject(s) - precipitation , principal component analysis , geology , noise (video) , seismology , geophysics , computer science , meteorology , geography , artificial intelligence , image (mathematics)
Geoelectrical fluctuations are the end product of several geophysical phenomena. In particular, geoelectrical signals measured in seismically active areas can be attributed to stress and strain changes associated with earthquakes. In order to study the geoelectrical potential difference changes associated with the Earth's crustal activities, it is important to distinguish them from other noises because they are generally weak. The complexity of this problem has called for development of advanced statistical methods suitable for investigation of the heterogeneous nature of these fluctuations. In this paper we analyzed the time dynamics of short‐term variability of the geoelectrical field measured at Kiyosumi station located in the southern part of Boso peninsula, Japan. We tried to apply principal component analysis (PCA) and singular spectral analysis (SSA) to detect and reduce precipitation effects which are the most intense noise in geoelectrical potential difference data. The results show that an application of PCA to two orthogonal electric data can detect the precipitation and SSA has a potential to remove the precipitation effects. © 2012 Wiley Periodicals, Inc. Electr Eng Jpn, 182(3): 1–8, 2013; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/eej.22301