Kalman filter and Neural Network methods for detecting irregular variations of TEC around the time of powerful Mexico (Mw=۸.۲) earthquake of September ۰۸, ۲۰۱۷

سال انتشار: 1397
محل انتشار: مجله فیزیک زمین و فضا، دوره: 44، شماره: 4
کد COI اختصاصی: JR_JESPHYS-44-4_008
زبان مقاله: انگلیسی
تعداد مشاهده: 158

نویسندگان

Assistant Professor, Department of Remote Sensing, School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Iran

چکیده

In ۹۸ km SW of Tres Picos in Mexico (۱۵.۰۲۲°N, ۹۳.۸۹۹°W, ۴۷.۴۰ km depth) a powerful earthquake of Mw=۸.۲ took place at ۰۴:۴۹:۱۹ UTC (LT=UTC-۰۵:۰۰) on September ۸, ۲۰۱۷. In this study, using three standard, classical and intelligent methods including median, Kalman filter, and Neural Network, respectively, the GPS Total Electron Content (TEC) measurements of three months were surveyed to detect the potential unusual variations around the time and location of Mexico earthquake. Every three implemented methods indicated a striking irregular variation of TEC at the earthquake time. However, on the earthquake day, the geomagnetic indices Dst and Ap have exceeded the allowed ranges and even reached maximum values during the studied time period. Besides, the solar index of F۱۰.۷ showed high activity around the earthquake day. Therefore, it is difficult to acknowledge the seismicity nature of the detected TEC unusual variations on earthquake day. Therefore, in this case, we encounter a mixed and complex behavior of ionosphere.

کلیدواژه ها

Earthquake Precursor, Ionosphere, Geomagnetic activity, GPS, Mexico earthquake, TEC

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