Analysis of Ionospheric Perturbations during the Significant Earthquake using GNSS Data

Shiva Kumar Nimmakayala, V. S. I. Srilatha Indira Dutt
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Abstract

Natural disasters like earthquakes are most unpredictable and unstoppable. Precise signatures are recognized in Total Electron Content (TEC) before the occurrence of the earthquake. Observations along with analysis of such signatures will benefit the authentic detection and forecast of the earthquakes before their occurrence. In this paper, the Earthquake which occurred at Calatagan, Philippines, on 24-12-2020 is considered. The locality of the Philippines is an Global Navigation Satellite System (GNSS) station named PIMO at Manila. A study and investigation is carried out on the Slant Total Electron Content (STEC) data for two days before the Earthquake.
利用GNSS数据分析大地震期间电离层扰动
像地震这样的自然灾害是最不可预测和不可阻挡的。在地震发生前,总电子含量(TEC)可以识别出精确的特征。对这些特征的观测和分析将有利于地震发生前的真实探测和预报。本文以2020年12月24日发生在菲律宾Calatagan的地震为研究对象。菲律宾的位置是位于马尼拉的全球导航卫星系统(GNSS)站,名为PIMO。对地震前两天的斜总电子含量(STEC)资料进行了研究和调查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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