Comprehensive precursor anomaly research based on earthquake corresponding relevancy spectrum

作     者：Haitao Wang Qiong Wang Lanlan Tang 

作者机构：Lanzhou Base of lnstitute of Earthquake Science China Earthquake Administration Lanzhou 730000 China Earthquake Administration of Xinjiang Uygur Autonomous Region Urumqi 830011 China 

出 版 物：《Earthquake Science》 (地震学报（英文版）)

年 卷 期：2009年第22卷第6期

页      面：675-681页

核心收录：

学科分类：0709[理学-地质学] 0819[工学-矿业工程] 07[理学] 08[工学] 070801[理学-固体地球物理学] 0707[理学-海洋科学] 0818[工学-地质资源与地质工程] 0708[理学-地球物理学] 080401[工学-精密仪器及机械] 081105[工学-导航、制导与控制] 0815[工学-水利工程] 0804[工学-仪器科学与技术] 0816[工学-测绘科学与技术] 0813[工学-建筑学] 0825[工学-航空宇航科学与技术] 0704[理学-天文学] 0814[工学-土木工程] 0811[工学-控制科学与工程] 

主　　题：earthquake corresponding relevancy spectrum(ECRS) sliding mean relevancy (SMR) multi-parameter sliding extreme-value relevancy(MSER) comprehensive precursor anomaly 

摘      要：With the aim to the quantification of anomaly identification and extraction for observed or analyzed records, we present two statistical methods of earthquake corresponding relevancy spectrum （ECRS） and sliding mean relevancy （SMR）. With ECRS method, we can obtain the abnormal confidence attribute of data in different value ranges. Based on the relevancy spectrum in different studied time-intervals, we convert the original time sequence into relevancy time sequence, and can obtain the SMR time series by using the multi-point cumulative sliding mean method. Then we can identify the seismic precursor anomaly. We test this method by taking the time sequence of r/-value in the northern Tianshan region as original data. The result shows that when the studied time-interval is 18 months, the precursor anomaly can be identified bet- ter from sliding mean relevancy. The anomaly corresponding rate is 83 percent, the earthquake corresponding rate is 86 per- cent, and the anomaly is characteristic of the middle term. To try the research on multi-parameter comprehensive application, we take the Kalpin tectonic block in Xinjiang as our studied region, and analyze the spatial and temporal abnormal characters of multi-parameter sliding extreme-value relevancy （MSER） before mid-strong earthquakes in the Kalpin block. The result indicates that ECRS and SMR sequence in different time-intervals can not only be used to identify the precursor anomaly of single-item data, but also offer the data of quantitative single-item anomaly for comprehensive earthquake analysis and prediction.