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新疆地区6级以上地震前小震固体潮调制比异常演化特征
引用本文:李文君,曾宪伟,刘芳彤,高龙飞.新疆地区6级以上地震前小震固体潮调制比异常演化特征[J].地震地磁观测与研究,2021,42(4):29-35.
作者姓名:李文君  曾宪伟  刘芳彤  高龙飞
作者单位:1.中国银川 750001 宁夏回族自治区地震局;2.中国辽宁 118000 丹东地震监测中心站;3.中国山西 037000 大同地震监测中心站
基金项目:强震危险性研究创新团队项目(项目编号:CX2019-4);中国地震局地震科技星火计划(项目编号:XH18053Y);宁夏地震科研基金课题(项目编号:NX2020013)
摘    要:选取新疆地区2016年以来发生的3次MS 6.0以上浅源地震,对发震前震中区小震调制比变化进行系统对比分析,发现3次地震前均出现不同程度的固体潮调制比异常:①2016年12月8日呼图壁MS 6.2地震仅在震前2年于震中出现调制比高值异常;②2017年8月9日精河MS 6.6地震震中于发生前2年、1年、0.5年均落于调制比高值异常区域,受调制作用较明显;③2020年1月19日伽师MS 6.4地震于发生前2年、1年,在震中位置附近出现调制比异常。

关 键 词:新疆  固体潮  调制比  空间分布

Analysis of the modulation ratio of the solid tide before earthquakes with a magnitude over 6 in Xinjiang since 2016
LI Wenjun,ZENG Xianwei,LIU Fangtong,GAO Longfei.Analysis of the modulation ratio of the solid tide before earthquakes with a magnitude over 6 in Xinjiang since 2016[J].Seismological and Geomagnetic Observation and Research,2021,42(4):29-35.
Authors:LI Wenjun  ZENG Xianwei  LIU Fangtong  GAO Longfei
Institution:1.Earthquake Agency of Ningxia Hui Autonomous Region, Yinchuan 750001, China;2.Dandong Monitoring Center Station, Liaoning Province 118000, China;2.Datong Earthquake Monitoring Center Station, Shanxi Province 037000, China
Abstract:The characteristics of the spatial distribution of the earth tide modulation ratio before three shallow MS≥ 6.0 earthquakes in Xinjiang (73°— 96.5°E, 34°— 49.5°N) since 2016 are systematically studied. It was found that the three earthquakes were preceded by different degrees of anomalies in the modulation ratio of solid tides:① Only a high modulation ratio anomaly appeared in the epicentral area 2 years before the MS 6.2 earthquake that occurred on Dec. 8, 2016;②The epicenter of the MS 6.6 earthquake in Jinghe County on August 9, 2017, falls in high modulation ratio anomaly regions 2, 1 and 0.5 years before the occurrence, showing an obvious modulation effect;③The modulation ratio anomalies appeared near the epicenter of the Jiashi MS 6.4 earthquake that occurred on January 19, 2020, 2 and 1 years before the occurrence.
Keywords:Xinjiang  solid tide  modulation ratio  spatial distribution
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