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利用全噪声增强优化模型估算地震震级。

Earthquake Magnitude Estimation Using a Total Noise Enhanced Optimization Model.

机构信息

Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea.

出版信息

Sensors (Basel). 2019 Mar 25;19(6):1454. doi: 10.3390/s19061454.

Abstract

In this paper, a heterodyne laser interferometer, which is used as a sensor for high-precision displacement measurement, is introduced to measure ground vibration and seismic waves as a seismometer. The seismic wave is measured precisely through the displacement variation obtained by the heterodyne laser interferometer. The earthquake magnitude is estimated using only the P-wave magnitudes for the first 3 s through the total noise enhanced optimization (TNEO) model. We use data from southern California to investigate the relationship between peak acceleration amplitude ( P d ) and the earthquake magnitude ( M g ). For precise prediction of the earthquake magnitude using only the P d value, the TNEO model derives the relation equation between P d and the magnitude, considering the noise present in each measured seismic data. The optimal solution is obtained from the TNEO model based objective function. We proved the performance of the proposed method through simulation and experimental results.

摘要

本文介绍了一种外差激光干涉仪,它作为一种传感器,用于高精度位移测量,也可作为地震仪测量地面振动和地震波。通过外差激光干涉仪获得的位移变化,可以精确地测量地震波。通过总噪声增强优化(TNEO)模型,仅使用前 3 秒的 P 波幅度来估计地震震级。我们使用来自南加州的数据来研究峰值加速度幅度(Pd)与地震震级(Mg)之间的关系。为了仅使用 Pd 值进行地震震级的精确预测,TNEO 模型考虑了每个测量地震数据中的噪声,推导出 Pd 与震级之间的关系方程。最优解是从 TNEO 模型基于目标函数中得到的。我们通过仿真和实验结果验证了所提出方法的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ad9/6471916/c4110a33e344/sensors-19-01454-g004.jpg

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