發(fā)布時(shí)間：2018-06-24 13:20

  本文選題：地震活動參數(shù) + 主成分分析��； 參考：《地震學(xué)報(bào)》2016年06期

【摘要】：根據(jù)地震活動參數(shù)的數(shù)據(jù)特征,以2013年內(nèi)蒙古科爾沁M(jìn)S5.3地震為例,引入主成分分析和因子分析兩種數(shù)據(jù)挖掘方法,在信息損失盡可能少的條件下,實(shí)現(xiàn)對參數(shù)變量的約簡降維,并提取綜合指標(biāo)W.研究顯示,2013年科爾沁M(jìn)S5.3地震前兩年,W值變化顯著.在進(jìn)一步的單因子分析中,從綜合后的參數(shù)變量信息中重新提取了具有物理意義的多個(gè)單因子綜合指標(biāo),消除了大量信息重疊所造成的不一致,實(shí)現(xiàn)了對綜合指標(biāo)的細(xì)化分析.在此基礎(chǔ)上,對東北華北29次MS≥5.0地震的11個(gè)地震活動參數(shù)(頻次N,b值,η值,A(b)值,Mf值,AC值,C值,D值,E值,Rm值,響應(yīng)比Y)進(jìn)行主成分分析,其結(jié)果顯示,主成分綜合指標(biāo)W在震前1—2年均出現(xiàn)了明顯的異常變化,這充分說明綜合指標(biāo)W可以用作地震預(yù)報(bào)研究的綜合異常參考判據(jù).
[Abstract]:According to the data characteristics of seismic activity parameters, taking the 2013 Horqin MS 5.3 earthquake in Inner Mongolia as an example, two data mining methods, principal component analysis and factor analysis, are introduced to realize the reduced dimension of parameter variables under the condition that the information loss is as little as possible. And extract the comprehensive index W. The results show that two years before the 2013 Horqin MS 5.3 earthquake, the W value changed significantly. In the further single factor analysis, several single factor synthesis indexes with physical meaning are reextracted from the synthesized parameter variable information, which eliminates the inconsistency caused by a large amount of information overlapping, and realizes the detailed analysis of the synthesis index. On this basis, the principal component analysis (PCA) of 11 seismicity parameters (frequency nb value, 畏 value A (b) value Mf value, AC value C value, D value and E value R m, response ratio Y) of 29 earthquakes with MS 鈮，

本文編號：2061656