现代地震观测积累了大量、种类繁多的地震前兆数据和震后数据，但数据中隐含的地震规律及趋势无法用经典的算例、数学公式、物理公式进行定量解释、分析和预测，需要探索新方法、新技术。案例表明，大数据分析具有预测事物发展趋势、改变传统观念和发现新事物的功能，有助于从错误信息中挖掘有价值信息。本文由此提出基于大数据技术处理地震数据的新思路，对地震监测预报新思路进行探索；通过在大数据平台上基于地震目录的余震预测研究，给出大数据技术在地震数据处理方面的一个应用实例，验证该思路的可行性。
Modern seismic observation has accumulated a great variety of precursor data and post earthquake data, but laws and trends hidden in data can hardly be explained, analyzed and predicted by the classic example, mathematical formula and physical formula, which need people to explore new methods, new technologies. The cases show that big data analysis can make a prediction of developing trend, and change traditional ideas and discover something new, and help us mining valuable information from error information. Therefore, a new idea of seismic data processing based on big data technology is put forward in this paper. It is also an exploration of earthquake monitoring and prediction. The aftershock prediction research based on earthquake catalogue on big data platform gives an application example on the big data technology in the seismic data processing, and verifes the feasibility of the idea.
2017,38(3): 191-195 收稿日期：2016-12-17
DOI：10.3969/j.issn.1003-3246.2017.03.033
基金项目：中央高校创新项目"大数据环境下的面向行业服务数据处理研究"（项目编号：ZY20160106）；国家自然科学基金项目（模拟地震监测波形记录矢量化关键算法研究与系统开发，项目编号：41504037）
作者简介：张翔(1979-),女,硕士,讲师,主要从事信息学科与地震学应用研究工作.
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