Determination of Possible Responses of Radon-222, Magnetic Effects, and Total Electron Content to Earthquakes on the North Anatolian Fault Zone, Turkiye: An ARIMA and Monte Carlo Simulation
Abstract:Around the world, earthquake forecasting studies have become very important nowadays due to the increase in number of fatal earthquakes annually. This paper proposes to achieve a possible relationship between soil radon gas concentration and atmospheric Total Electron Content (TEC) during earthquakes taking into account magnetic effects on the North Anatolian Fault Zone (NAFZ) in Turkiye. The ARIMA and Monte Carlo Simulation (MCS) are employed for determining radon gas concentrations by taking into account mag… Show more
“…The ARIMA model is an effective time series analysis method for earthquake studies. Some scholars have used the ARIMA model to analyze and identify the anomalies in geophysical data information before historical earthquakes [Han et al, 1986], such as the anomalies in the ionosphere [Saqib et al, 2021;Zhai et al, 2021;Zhai et al, 2019;Zhang et al, 2013], electromagnetism and geoacoustic [Saqib et al, 2022;Mohammed et al, 2021;Zhang et al, 2019] and geothermal [Zhai et al, 2020;, and then determine the abnormal standards and predict the earthquake origin times according to the time of anomalies occurrences. Normally, earthquakes will occur around the 15th day after the continuous appearances of the anomalies, so this kind of methods has high accuracies, yet it also has some limitations.…”
Based on earthquake catalog data from the Longmen Mountain fault zone over the past 10 years, we constructed series of earthquake origin time intervals by grouping according to the magnitude (M) and use the ARIMA model for analysis with a 9:1 ratio of fitting-training and prediction-verification data. We found that the series of both M ≥ 2.5 and M ≥ 3.0 showed the variation of nesting with short, medium and long periods. By further predictive verification and comparative analysis, the optimal prediction models for each series were obtained: ARIMA(10,2,1)×(0,1,1)20 direct prediction model for series of M ≥ 2.5, ARIMA(8,2,1)×(0,1,1)40 rolling prediction model for M ≥ 3.0, and ARIMA(1,2,3)×(0,1,1)3 rolling prediction model for M ≥ 4.5. The predicted results suggested that the seismicity of the Longmen Mountain fault zone has a recent gradually weakening trend. This analysis process provides an effective reference and method for studying the time regularities of tectonic earthquake occurrence.
“…The ARIMA model is an effective time series analysis method for earthquake studies. Some scholars have used the ARIMA model to analyze and identify the anomalies in geophysical data information before historical earthquakes [Han et al, 1986], such as the anomalies in the ionosphere [Saqib et al, 2021;Zhai et al, 2021;Zhai et al, 2019;Zhang et al, 2013], electromagnetism and geoacoustic [Saqib et al, 2022;Mohammed et al, 2021;Zhang et al, 2019] and geothermal [Zhai et al, 2020;, and then determine the abnormal standards and predict the earthquake origin times according to the time of anomalies occurrences. Normally, earthquakes will occur around the 15th day after the continuous appearances of the anomalies, so this kind of methods has high accuracies, yet it also has some limitations.…”
Based on earthquake catalog data from the Longmen Mountain fault zone over the past 10 years, we constructed series of earthquake origin time intervals by grouping according to the magnitude (M) and use the ARIMA model for analysis with a 9:1 ratio of fitting-training and prediction-verification data. We found that the series of both M ≥ 2.5 and M ≥ 3.0 showed the variation of nesting with short, medium and long periods. By further predictive verification and comparative analysis, the optimal prediction models for each series were obtained: ARIMA(10,2,1)×(0,1,1)20 direct prediction model for series of M ≥ 2.5, ARIMA(8,2,1)×(0,1,1)40 rolling prediction model for M ≥ 3.0, and ARIMA(1,2,3)×(0,1,1)3 rolling prediction model for M ≥ 4.5. The predicted results suggested that the seismicity of the Longmen Mountain fault zone has a recent gradually weakening trend. This analysis process provides an effective reference and method for studying the time regularities of tectonic earthquake occurrence.
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