Automatic Identification Method of Earthquake Event and Its Application in Nanling Portable Seismic Array
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摘要: 地震事件识别是地震层析成像的重要组成部分。然而,在处理宽频带流动台阵天然地震记录中识别地震事件过程中,利用传统的人工识别方法耗时巨大,效率十分低。本文首先运用STA/LTA对地震事件进行初步判断,并结合支持向量机信号检测算法和多台联合检验法来提高地震事件判别的准确度及抗干扰能力,达到天然地震事件的自动识别。南岭流动台阵数据的应用结果表明该综合识别算法可自动快速准确地判别地震事件,并可用于地震震相的拾取。Abstract: The identification of earthquake events is very important in seismic tomography. However, during searching earthquake event from the huge earthquake data base acquired by portable array, the traditional manual method of identifying earthquake events is very inefficient and time-consuming. This paper uses STA/LTA method to judge the existence of earthquake event preliminary, uses the Support Vector Machines and the multi-station joint inspection to improve the accuracy of earthquake event discrimination and anti-jamming capability, and then earthquake event can be identified from huge earthquake data bank. Finally, this technique is applied to the Nanling portable seismic array data, and the result shows that the method can determine earthquake events automatically, quickly and accurately, and then the event data can be used for phases identification further.
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