Presentation | 2014-10-16 Quantification of microearthquake data using detrended fluctuation analysis method Kohei YAMAMOTO, Hiroyuki KITAJIMA, Tooru YAZAWA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A big earthquake not only destroys buildings and highways but also triggers fires and tsunami. As a result, many people suffer from such a disaster. If we know the occurrence of the earthquake in advance, then our suffering would be reduced. Although studies of the earthquake prediction are done, scientific forecast like a weather report is not established. In this study, we propose a method of guantifying microearthquake data using thedetrended fluctuation analysis (DFA). We apply our method to real data from NIED (National Research Institute for Earth Science and Disaster Prevention) and show the effectiveness of our method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | DFA / earthquake |
Paper # | CAS2014-60,NLP2014-54 |
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Committee | CAS |
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Conference Date | 2014/10/9(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Circuits and Systems (CAS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Quantification of microearthquake data using detrended fluctuation analysis method |
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Keyword(1) | DFA |
Keyword(2) | earthquake |
1st Author's Name | Kohei YAMAMOTO |
1st Author's Affiliation | Faculty of Engineering, Kagawa University() |
2nd Author's Name | Hiroyuki KITAJIMA |
2nd Author's Affiliation | Faculty of Engineering, Kagawa University |
3rd Author's Name | Tooru YAZAWA |
3rd Author's Affiliation | Faculty of Urban Liberal Arts, Tokyo Metropolitan University |
Date | 2014-10-16 |
Paper # | CAS2014-60,NLP2014-54 |
Volume (vol) | vol.114 |
Number (no) | 249 |
Page | pp.pp.- |
#Pages | 4 |
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