Title: MEMS-based seismic intensity instrument for earthquake early warning

Authors: Wei Ding; Chengwang Liao; Hao Wang

Addresses: Key Laboratory of Earthquake Geodesy, Institute of Seismology, China Earthquake Administration, Wuhan 430071, China ' Key Laboratory of Earthquake Geodesy, Institute of Seismology, China Earthquake Administration, Wuhan 430071, China ' Key Laboratory of Earthquake Geodesy, Institute of Seismology, China Earthquake Administration, Wuhan 430071, China

Abstract: Micro-electro-mechanical systems (MEMS)-based tri-axial seismometer can be employed to design intensity instrument and construct early warning network. Using average period τ_c and peak amplitude of displacement P_d methods, the estimation relationships between seismometer and magnitude can be calculated. This work outlines the algorithm and first-hand experience using low-cost MEMS-based seismometer in seismic intensity instrument. τ_c and P_d methods are employed to calculate magnitude estimation and STA/LTA trigger algorithm is used to identify seismic event. A set of simulated earthquake wave experiments on a horizontal vibration table are used to testify the ability of P-wave identification. The results show that the accuracy of P-wave identification and seismic intensity judgement is over 95%, which proves the usability of improving implementations for the MEMS-based seismometer in the earthquake early warning application.

Keywords: seismic intensity instrument; early warning management; micro-electro-mechanical systems; MEMS; P-wave identification.

DOI: 10.1504/IJCSE.2017.085978

International Journal of Computational Science and Engineering, 2017 Vol.15 No.1/2, pp.41 - 48

Received: 05 Jan 2016
Accepted: 23 Feb 2016
Published online: 21 Aug 2017 *

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