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Reliability of seismic signal analysis for earthquake epicenter location estimation using 1 Hz GPS kinematic solution

Sha'ameri, A. Z. and Wan Aris, W. A. and Sadiah, S. and Musa, T. A. (2021) Reliability of seismic signal analysis for earthquake epicenter location estimation using 1 Hz GPS kinematic solution. Measurement: Journal of the International Measurement Confederation, 182 . ISSN 0263-2241

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Official URL: http://dx.doi.org/10.1016/j.measurement.2021.10966...

Abstract

This paper proposed a reliable analysis method of Global Positioning System (GPS) derived seismic signal to locate the epicenter of a far-field regional earthquake. The surface wave of the seismic signal is utilized due to the attenuation in the body wave which is conventionally used in seismometer. The main contribution is the identification of time-frequency representation (TFR) as a signal analysis method to derive the time of arrival (TOA) for epicenter location estimation using multilateration technique. The comparison was made with other methods such as directly from the time representation, the instantaneous energy, and the power spectrum estimation. The data from the 2004 Sumatra Andaman earthquake captured from four GPS continuously operating reference stations (GPS CORS) were used in the analysis. To validate the accuracy of the proposed method, the estimated epicenter location was compared with the data released by the United States Geological Survey (USGS). The estimated location shows an error of about 0.0572 degrees (6.3 km) in latitude and 0.2848 degrees (31.33 km) in longitude. This is comparable to previous studies using seismometer with an average error of 25 km for far field earthquakes and 20 km for recent work on GPS derived seismic signals for near field earthquakes.

Item Type:Article
Uncontrolled Keywords:epicenter locating, GPS, multilateration, seismic signal
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:94800
Deposited By: Yanti Mohd Shah
Deposited On:29 Apr 2022 22:27
Last Modified:29 Apr 2022 22:27

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