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作 者:徐长银[1] 单晓琳 张嘉敏[1] 李姗姗[1] 邓明文 刘青山 段绍鑫 XU Chang-yin;SHAN Xiao-lin;ZHANG Jia-min;LI Shan-shan;DENG Ming-wen;LIU Qing-shan;DUAN Shao-xin(Korla Seismic Station of Earthquake Agency of Xinjiang Uygur Autonomous Region,Korla 841000,Xinjiang,China)
机构地区:[1]新疆维吾尔自治区地震局库尔勒地震监测中心站,新疆库尔勒841000
出 处:《内陆地震》2022年第3期282-288,共7页Inland Earthquake
摘 要:本文中就库尔勒新43泉动水位异常,结合基础资料和背景资料与动水位异常跟踪调查核实,排除了观测环境、仪器稳定性、人为因素、气象因素等影响,利用小波分析方法从多种周期变化中提取与地震有关的周期性异常信息。分析结果表明:新43泉测点300 km范围内中强地震前动水位出现异常,并且异常结束3~8个月内发生地震,真实反映了监测区域地下水变化与地震活动的关联性。结合震例研究表明,小波分析是地震地下水观测资料消除干扰,识别地震中短期异常的一种有效方法,有助于日常震情跟踪和地震危险性预测研究。Based on the dynamic water level anomaly of new 43 spring in Korla,combined with the basic data and background data of new 43 spring and the tracking investigation and verification of dynamic water level anomaly,the effects of observation environment,instrument stability,human factors,meteorological factors and other factors are excluded,and the wavelet analysis method is used to extract the periodic anomaly information related to earthquakes from a variety of periodic changes.The analysis results show that the dynamic water level before the moderately strong earthquake within 300 km of New 43 spring measuring point is abnormal,and earthquakes occurs within 3~8 months after anomaly ends,which truly reflects the correlation between groundwater changes and seismic activities in the monitoring area.Combined with the study of earthquake cases,it shows that wavelet analysis is an effective method to eliminate the interference of seismic groundwater observation data and identify the medium and short-term anomalies of earthquakes,which is helpful for daily earthquake situation tracking and earthquake risk prediction research.
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