Applying LDF such an Innovative method on time series of soil temperature in earthquake prediction

Abstract

Rise in temperature occurred after soil temperature was measured in different time series. In this article, LDF (logarithmic derivative filter) innovative method is applied to detect anomalies. This method tests soil temperature time series for 12 earthquakes in Iran with magnitudes of either five or greater than five. Results from this method were collected. Based on the results of LDF method and consequently applying of statistical indicators, average and standard deviation before all the great event of case study, from day one up to the month before the main quake, anomalous behaviors were revealed. A correlation between anomalies and earthquakes was observed.

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