| Title |
Properties of GPS noise at Japan islands before and after Tohoku mega-earthquake
|
|---|---|
| Published in |
SpringerPlus, July 2014
|
| DOI | 10.1186/2193-1801-3-364 |
| Pubmed ID | |
| Authors |
Alexey Lyubushin, Pavel Yakovlev |
| Abstract |
The field of 3-components GPS signals is analyzed for the network of 1203 stations at the Japanese islands from January 30 up to March 26, 2011. This time interval includes just over 40 days of observation before the Tohoku mega-earthquake on March 11, 2011 (M = 9.0) and nearly 16 days of observation following this event. The signals from each station are three-component time series with time step 30 minutes. We study the statistical properties of the random fluctuations of GPS signals before and after the seismic catastrophe after transition to increments. The values of wavelet-based spectral index for GPS noise components for each station were estimated separately for pieces of records before and after seismic event. The maps of the noise spectral index are constructed as the values for grid size of 50 × 50 nodes covering the region under study, based on information from 10 stations closest to each node. These maps clearly extract the region of future seismic catastrophe by relatively high noise spectral index. The using of principal components method distinguished this spatial anomaly more explicitly. These results support the hypothesis that statistical properties of random fluctuations of geophysical fields carry important information about earthquake preparation. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 50% |
| Researcher | 3 | 30% |
| Other | 1 | 10% |
| Unknown | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 5 | 50% |
| Engineering | 2 | 20% |
| Physics and Astronomy | 1 | 10% |
| Immunology and Microbiology | 1 | 10% |
| Unknown | 1 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 November 2014.
All research outputs
#15,309,583
of 22,769,322 outputs
Outputs from SpringerPlus
#931
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Outputs of similar age
#131,891
of 226,905 outputs
Outputs of similar age from SpringerPlus
#57
of 93 outputs
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