云南地区形变观测资料短临异常指标提取

发布时间：2018-07-12 16:10

  本文选题：GPS数据异常分析 + 短临预测　； 参考：《武汉大学学报(信息科学版)》2017年09期

【摘要】：提出了面应变综合预测指标法,目的是将全球卫星定位系统(global position system,GPS)观测结果应用于地震短临预测。基于云南省GPS连续观测资料,利用GPS高精度数据处理软件(GAMIT/GLOBK)处理后获得位移场。对位移场进行网格化插值获得均匀分布于56个网格的位移场,基于每个网格位移场时间序列求取其面应变时间序列,并对每个网格面应变时间序列的映震能力进行评价、综合,提取出适合于云南地区的地震短临异常识别指标。实践表明,综合预测指标对云南地区2011年以来发生的20次5级以上地震进行3个月短临预测,其中准确预测次数为19次,漏报数为1次,虚报5次,认为该指标对地震发震时间、震中均具有较好的指示意义,可用于云南地区未来的地震短临预测实践。
[Abstract]:In this paper, a comprehensive prediction index method for surface strain is proposed, which aims to apply the global positioning system (global position) observation results to the short-term and impending earthquake prediction. Based on the continuous GPS observation data of Yunnan Province, the displacement field is obtained by using GPS high-precision data processing software (GAMIT / GLOBK). The displacement field distributed uniformly on 56 meshes is obtained by gridding interpolation. Based on the time series of each grid displacement field, the surface strain time series is obtained, and the seismic response ability of each grid plane strain time series is evaluated and synthesized. The identification index of earthquake short- impending anomaly suitable for Yunnan area is extracted. The practice shows that 20 earthquakes with M 鈮，

本文编号：2117707