發(fā)布時間：2018-07-12 16:10

  本文選題：GPS數(shù)據(jù)異常分析 + 短臨預(yù)測�。� 參考：《武漢大學(xué)學(xué)報(信息科學(xué)版)》2017年09期

【摘要】：提出了面應(yīng)變綜合預(yù)測指標(biāo)法,目的是將全球衛(wèi)星定位系統(tǒng)(global position system,GPS)觀測結(jié)果應(yīng)用于地震短臨預(yù)測�；谠颇鲜PS連續(xù)觀測資料,利用GPS高精度數(shù)據(jù)處理軟件(GAMIT/GLOBK)處理后獲得位移場。對位移場進(jìn)行網(wǎng)格化插值獲得均勻分布于56個網(wǎng)格的位移場,基于每個網(wǎng)格位移場時間序列求取其面應(yīng)變時間序列,并對每個網(wǎng)格面應(yīng)變時間序列的映震能力進(jìn)行評價、綜合,提取出適合于云南地區(qū)的地震短臨異常識別指標(biāo)。實踐表明,綜合預(yù)測指標(biāo)對云南地區(qū)2011年以來發(fā)生的20次5級以上地震進(jìn)行3個月短臨預(yù)測,其中準(zhǔn)確預(yù)測次數(shù)為19次,漏報數(shù)為1次,虛報5次,認(rèn)為該指標(biāo)對地震發(fā)震時間、震中均具有較好的指示意義,可用于云南地區(qū)未來的地震短臨預(yù)測實踐。
[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，

本文編號：2117707