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Ionosperic anomaly due to seismic activities - Part 1: Calibration of the VLF signal of VTX 18.2 KHz station from Kolkata and deviation during seismic events

机译:地震活动引起的电镜异常-第1部分:来自加尔各答的VTX 18.2 KHz站的VLF信号校准和地震事件发生时的偏差

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摘要

VLF signals are long thought to give away important information about the lithosphere-ionosphere coupling. In order to establish co-relations, if any, between the ionospheric activities and the earthquakes, we need to understand what the reference signals are, throughout the year. The best opportunity to do this is during the period of solar minimum where the number of flares and sunspots are negligible and the data would be primarily affected by the sun and variation would be due to normal sunset and sunrise effects. In this paper, we present the result of the sunrise and sunset terminators as a function of the day of the year for a period of four years, viz, 2005-2008 when the solar activity was very low. The terminators are for the 18.2 KHz VTX signal of the Indian Navy as observed from Indian Centre for Space Physics receiving station located in Kolkata. A total of 624 days of data have been used to obtain the mean plot. Any deviation of observations from this so-called the standardized calibration curve would point to influences by terrestrial (such as earthquakes) and extra-terrestrial events (such as solar activities). We present examples of deviations which occur in a period of 16 months and show that the correlation with seismic events is significant and typically the highest deviation takes place up to a couple of days prior to the seismic event. Simultaneous observations of such deviations from more than one station could improve the predictability of earthquakes.
机译:长期以来,人们一直认为VLF信号会提供有关岩石圈-电离层耦合的重要信息。为了建立电离层活动与地震之间的关联(如果有),我们需要了解全年的参考信号是什么。做到这一点的最佳机会是在日照最小的时期,在此期间耀斑和黑子的数量可以忽略不计,数据将主要受到太阳的影响,并且变化将归因于正常的日落和日出效应。在本文中,我们介绍了日出终止和日落终止的结果与四年中一年中一天的函数的关系,即2005-2008年,当时太阳活动非常低。从位于加尔各答的印度空间物理中心接收站观察到,这些终结器用于印度海军的18.2 KHz VTX信号。总共624天的数据已用于获取平均图。观测值与该所谓的标准校准曲线的任何偏差都将表明受地面(例如地震)和地球外事件(例如太阳活动)的影响。我们提供了在16个月内发生的偏差的示例,并表明与地震事件的相关性很显着,通常最大偏差发生在地震事件发生前的几天。同时观测多个站的这种偏离可以提高地震的可预测性。

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