Anomalies identification of Earth's rotation rate time series (2012-2017) for possible correlation with strong earthquakes occurrence
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985891%3A_____%2F19%3A00509979" target="_blank" >RIV/67985891:_____/19:00509979 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/68407700:21340/19:00335544
Výsledek na webu
<a href="https://www.sciencedirect.com/science/article/pii/S1674984719300461?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1674984719300461?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.geog.2019.06.002" target="_blank" >10.1016/j.geog.2019.06.002</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Anomalies identification of Earth's rotation rate time series (2012-2017) for possible correlation with strong earthquakes occurrence
Popis výsledku v původním jazyce
The analysis of the Earth's rotation rate time series, from January 1,2012 till December 31,2017, is performed using two different time series analysis methods, both based on signal decomposition joined with forecasting approach. Anomalies in the time series are detected making the comparison between the raw signal and the forecasting one at the 95% confidence interval. The two methods show consistent results and the best is selected according to the evaluation of the prediction uncertainty. Both methods highlight correlations between detected anomalies in the Earth's rotation rate time series and the world's earthquakes occurrence with magnitude >= 7 and/or number of events >= 150 per day, within a time interval of +/- 10 days from each earthquake event. This study brings an innovation in the analysis of such time series and helps to better understand the extent of this relationship. (C) 2019 Institute of Seismology, China Earthquake Administration, etc. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd.
Název v anglickém jazyce
Anomalies identification of Earth's rotation rate time series (2012-2017) for possible correlation with strong earthquakes occurrence
Popis výsledku anglicky
The analysis of the Earth's rotation rate time series, from January 1,2012 till December 31,2017, is performed using two different time series analysis methods, both based on signal decomposition joined with forecasting approach. Anomalies in the time series are detected making the comparison between the raw signal and the forecasting one at the 95% confidence interval. The two methods show consistent results and the best is selected according to the evaluation of the prediction uncertainty. Both methods highlight correlations between detected anomalies in the Earth's rotation rate time series and the world's earthquakes occurrence with magnitude >= 7 and/or number of events >= 150 per day, within a time interval of +/- 10 days from each earthquake event. This study brings an innovation in the analysis of such time series and helps to better understand the extent of this relationship. (C) 2019 Institute of Seismology, China Earthquake Administration, etc. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
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OECD FORD obor
10308 - Astronomy (including astrophysics,space science)
Návaznosti výsledku
Projekt
<a href="/cs/project/EF16_019%2F0000778" target="_blank" >EF16_019/0000778: Centrum pokročilých aplikovaných přírodních věd</a><br>
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Geodesy and Geodynamics
ISSN
1674-9847
e-ISSN
—
Svazek periodika
10
Číslo periodika v rámci svazku
6
Stát vydavatele periodika
CN - Čínská lidová republika
Počet stran výsledku
5
Strana od-do
455-459
Kód UT WoS článku
000488249300005
EID výsledku v databázi Scopus
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