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2015年尼泊尔8.1级地震前后拉萨地电场观测数据变化分析
引用本文:席继楼,关华平,刘超,庄楠,关歆莹,杨晓明,张治国,次卓嘎,格桑卓玛,马爱明.2015年尼泊尔8.1级地震前后拉萨地电场观测数据变化分析[J].中国地震研究,2016(4):526-541.
作者姓名:席继楼  关华平  刘超  庄楠  关歆莹  杨晓明  张治国  次卓嘎  格桑卓玛  马爱明
作者单位:中国地震局地震预测研究所(地震预测重点实验室), 北京 100036,中国地震局地震预测研究所(地震预测重点实验室), 北京 100036,中国地震局地震预测研究所(地震预测重点实验室), 北京 100036,中国地震局地震预测研究所(地震预测重点实验室), 北京 100036,北京市第三建筑工程有限公司, 北京, 100044,中国地震局地震预测研究所(地震预测重点实验室), 北京 100036,西藏自治区地震局, 西藏拉萨 850000,西藏自治区地震局, 西藏拉萨 850000,西藏自治区地震局, 西藏拉萨 850000,北京陆洋科技开发公司, 北京 l00036
摘    要:2015年4月25日尼泊尔8.1级强烈地震前后,拉萨地磁台(以下简称“拉萨台”)地电场观测数据出现了长时间、大幅度异常变化。在对拉萨台地电场观测条件、观测系统以及观测结果进行初步讨论的基础上,利用“能量合成累加”和“MSA功率谱分析”等数据处理方法,从“时间域”和“频率域”两个方面,对该异常变化的主要特征和演化过程进行了分析。结果显示,尼泊尔8.1级地震前后,拉萨台的地电场观测数据异常变化,经历了“趋势变化一扰动变化一发震期一恢复期”等发展阶段,以及“低频变化一高频变化一平稳变化高频变化”等演化过程。综合分析认为,拉萨台地电场观测异常变化特征和演化过程,与相关现象和机理研究结果基本吻合,能够完整反映强烈地震孕育、发生和发展全过程,是具有一定客观性、典型性和代表性的珍贵资料。

关 键 词:地电场变化  尼泊尔8.1级地震  拉萨地磁台  能量合成累加  MSA功率谱
收稿时间:2015/12/2 0:00:00
修稿时间:2015/12/15 0:00:00

Analysis and Study on the Change of the Observed Geo-electric Field Data at Lhasa Geomagnetic Station before and after the Nepal MS8.1 Earthquake
Xi Jilou,Guan Huaping,Liu Chao,Zhuang Nan,Guan Xinying,Yang Xiaoming,Zhang Zhiguo,Ci Zhuog,Kelsang Drolma and Ma Aiming.Analysis and Study on the Change of the Observed Geo-electric Field Data at Lhasa Geomagnetic Station before and after the Nepal MS8.1 Earthquake[J].Earthquake Research in China,2016(4):526-541.
Authors:Xi Jilou  Guan Huaping  Liu Chao  Zhuang Nan  Guan Xinying  Yang Xiaoming  Zhang Zhiguo  Ci Zhuog  Kelsang Drolma and Ma Aiming
Institution:Key Laboratory of Earthquake Prediction, Institute of Earthquake Science, CEA, Beijing 100036, China,Key Laboratory of Earthquake Prediction, Institute of Earthquake Science, CEA, Beijing 100036, China,Key Laboratory of Earthquake Prediction, Institute of Earthquake Science, CEA, Beijing 100036, China,Key Laboratory of Earthquake Prediction, Institute of Earthquake Science, CEA, Beijing 100036, China,Beijing No.3 Construction Engineering Co. Ltd., Beijing 100044, China,Key Laboratory of Earthquake Prediction, Institute of Earthquake Science, CEA, Beijing 100036, China,Earthquake Administration of Tibet Autonomous Region, Lhasa 850000, China,Earthquake Administration of Tibet Autonomous Region, Lhasa 850000, China,Earthquake Administration of Tibet Autonomous Region, Lhasa 850000, China and Beijing Luyang Technical Developing Company, Beijing 100036, China
Abstract:In this paper, the main purpose is to analyze and research the characteristics of the geo-electric field observed data with a long time span and large amplitude abnormal change, at the Lhasa geomagnetic station (hereafter referred to as "Lhasa station"), before and after the Nepal MS8.1 strong earthquake, which occurred on April 25, 2015. Based on the observation conditions, the observation system, and the observed data of Lhasa station preliminary discussed, the main characteristics of the abnormal change and evolution process are analyzed and studied, using the following two methods; the "synthesis energy accumulation" and the "power as MSA spectrum" analysis, from the two aspects of the "Time Domain" and "Frequency Domain." The results show that the abnormal change of the geo-electric field observation of Lhasa station experienced a development stage following the process of "trend change-disturbance change-earthquake period-recovery period", and an evolution process of "low frequency change-high frequency change-smooth change-high frequency change", before and after the Nepal MS8.1 strong earthquake. Comprehensive analysis shows that the variation characteristics and evolution process of the geo-electric field at Lhasa station are basically consistent with the results of the relevant mechanism and phenomenon research. So far, this is valuable information with certain objectivity, which is typical and representative to reflect the whole process of the gestation, occurrence and complete development of such strong earthquakes.
Keywords:Geo-electric field  Nepal MS8  1 earthquake  Lhasa geomagnetic station  Abnormal change  Synthesis energy accumulation  Power as MSA spectrum
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