基于因子分析和季节趋势滤波方法的地球物理因子识别以唐山台跨断层数据为例

Abstract

Abstract: Based on factor analysis method, we can effectively find out the common factors in multiple variables and the hidden controlling factors. Furthermore, we can achieve the period components and trending change feature of the common factor sequence by the Seasonal-Trend Lowes (STL) method and confirm the geophysical meaning by connecting with other information. In this paper, we brought out the geophysical factor recognition method and applied it in the Tangshan short-baseline observation by combining with the two methods. We recognized three geophysical factors, which are far-field geological factor, stationary factor and near-field geological factor in the sequence.

Key words: Geophysical factor recognition, STL, Factor analysis, Tangshan short-baseline observation

CLC Number:

P315.7

LI Wen-jing. Geophysical Factor Recognition based on Factor Analysis and STL Example from Tangshan Short-baseline Data[J]. EARTHQUAKE, 2015, 35(2): 139-147.

References

[1] Matsumoto N. Regression analysis for anomalous changes of ground water level due to earthquake[J]. Geophys Res Lett, 1992, 19(12): 1193-1196.
[2] 陈绍绪, 王宝坤, 张跃刚. 华北地区地倾斜中短期地震前兆识别及预报方法研究[J]. 地壳形变与地震, 1999, 19(4): 8-14.
[3] 卢良玉, 徐心同, 马秉圭. 金县台短水准干扰因素的剖析及海城地震前形变异常可靠性的研究, 国家地震局科技监测司汇编: 地震监测与预报方法清理成果汇编大地形变分册[M]. 北京: 地震出版社, 1990, 86-92.
[4] 冯德益, 楼世博, 林命週, 等. 模糊数学方法与应用[M]. 北京: 地震出版社, 1983.
[5] 吴大铭, 韩大宇. 用多道维纳滤波方法处理唐山地震前后的大灰厂三种形变资料[J]. 地震学报, 1983, 5(1): 31-38.
[6] 刘澜波, 郑香媛. 地下水动态译文集[M]. 北京: 北京科学技术出版社, 1983.
[7] 游丽兰, 刘大杰, 黄加纳, 等. 跨断层测量资料的卡尔曼滤波数学模型[J]. 中国地震, 1992, 8(3): 44-52.
[8] Matsumoto N, Kitagawa G, Roeloffs E A. Hydrological response to earthquakes in the Haibara well, central Japan—I. groundwater level changes revealed using state space decomposition of atmospheric pressure, rainfall and tidal responses[J]. Geophys J Int, 2003(a), 155: 885-898.
[9] Matsumoto N, Roeloff E A. Hydrological response to earthquakes in the Haibara well, central Japan—II. possible mechanism inferred from time-varying hydraulic properties[J]. Geophys J Int, 2003(b), 155: 899-913.
[10] 黄建平, 石耀霖, 孙玉军, 等. 气温变化对唐山地震台跨断层形变观测的影响[J]. 中国地震, 2012, 28(2): 222-230.
[11] 冯迎春, 李永振. 多因子分析在辽宁地区地震预测中的应用[J]. 防灾减灾学报, 2010, 26(3): 36-41.
[12] 杨立明, 毛可, 韩友珍, 等. 用因子分析法识别地震孕震信息的研究[J]. 西北地震学报, 1996, 18(3): 60-65.
[13] 王玮, 林命週, 马钦忠, 等. 使用因子分析方法研究九江5.7级地震前的地震活动异常[J]. 地震, 2006, 26(3): 9-17.
[14] 谢中华编著. Matlab统计分析与应用: 40个案例分析[M]. 北京: 北京航空航天大学出版社, 2010.
[15] 黄建平, 李文静. 唐山台短基线、短水准数据的分段特征[J]. 地震, 2011, 31(2): 50-58.
[16] 李文静, 杨国华, 武艳强. 地震前后唐山地震台地形变数据频谱特征分析[J]. 地震, 2009, 2: 141-146.

Geophysical Factor Recognition based on Factor Analysis and STL Example from Tangshan Short-baseline Data

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 2

Recommended Articles

Metrics

Comments

[1]	HUANG Jian-ping, LI Wen-jing. Segmentary Characteristics of Short-baseline and Short-leveling Data at Tangshan Station [J]. EARTHQUAKE, 2011, 31(2): 50-58.
[2]	WANG Wei, LIN Ming-zhou, MA Qin-zhong, WU Geng-feng, ZHAO Li-fei, WU Shao-chun. Research on anomalous seismicity before Jiujiang Earth- quake with M_S5.7 by using factor analysis method [J]. EARTHQUAKE, 2006, 26(3): 9-16.