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基于时序模式斜率反正切定量分析地形变数据
引用本文:李万能,李正媛,陈志遥,刘代芹,陈涛.基于时序模式斜率反正切定量分析地形变数据[J].内陆地震,2010,24(2):137-143.
作者姓名:李万能  李正媛  陈志遥  刘代芹  陈涛
作者单位:1. 中国地震局地震研究所,湖北,武汉,430071
2. 中国地震台网中心,北京,100086
3. 新疆维吾尔自治区地震局,新疆,乌鲁木齐,830011
基金项目:国家质检公益性行业科研专项 
摘    要:主要介绍时序模式基本算法与原理,通过对地形变数据进行反正切矢量化,求出整时值(每小时记录一个数据)的反正切值。其后推算出每个月的反正切值,对其每个月的相似误差进行拟合与分析,得出偏离1.2倍中误差的月份。通过对大姚2次6级以上的地震对应性分析得出,震前1~5个月有明显的异常现象,以此说明该方法在地形变数据处理中具有很好的实用性。

关 键 词:数据挖掘  时序模式  地形变

SLOPE ARC-TANGENT QUANTITATIVE ANALYSIS OF CRUSTAL DEFORMATION DATA BASED ON TIME-SERIES PATTERN
LI Wan-neng,LI Zheng-yuan,CHEN Zhi-yao,LIU Dai-qin,Chen Tao.SLOPE ARC-TANGENT QUANTITATIVE ANALYSIS OF CRUSTAL DEFORMATION DATA BASED ON TIME-SERIES PATTERN[J].Inland Earthquake,2010,24(2):137-143.
Authors:LI Wan-neng  LI Zheng-yuan  CHEN Zhi-yao  LIU Dai-qin  Chen Tao
Institution:1. Institution of seismology China Earthquake Administration, Wuhan 430071, China; 2. China Earthquake Network Center, Beijing 100045, China; 3. Earthquake Administration of Xinjiang Uygur Autonomous Region, Urumqi 830011, China)
Abstract:The author mainly introduces the basic principles and algorithms of time-series model. By processing the crustal deformation data to arctangent vector, the hour data of the arctangent is calculated (one data per hour), and then the arctangent data of each month is extrapolated. Through fitting and analyzing the similar error of every month, the author obtain the months failing away from the 1.2 times medium error threshold. The corresponding analysis of Dayao 6.0 double earthquakes shows an abnormal phenomenon in one to five months before the earthquakes, which illuminates that this method can be practical in the crustal deformation data processing.
Keywords:Data mining  Time-series pattern  Crustal deformation
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