Assessing the Reliability of Seismic Indicators for Earthquake Forecasting: A Correlation Analysis

This research investigates the reliability of seismic indicators in earthquake forecasting by employing correlation analysis. Leveraging seismic catalog data, eight distinct seismic indicators are computed to gauge their effectiveness in predicting impending seismic events. These indicators are derived from seismic characteristics such as temporal distribution, energy release, foreshock frequency, and the Gutenberg–Richter law. Correlation analysis is employed to scrutinize the relationship between these seismic indicators and the occurrence of earthquakes. The study scrutinizes the strength and nature of correlations between individual indicators and subsequent seismic events. Special attention is given to elucidating how these indicators interrelate and potentially enhance or diminish the accuracy of earthquake predictions. The research emphasizes the regional variations in seismic behaviors and geological properties, highlighting the necessity for a nuanced understanding of seismic indicator reliability across different geographic areas. By examining the correlations among these indicators and seismic events, this study seeks to establish the robustness and effectiveness of these indicators for earthquake forecasting in diverse regions. The outcomes of this investigation are anticipated to provide a deeper understanding of the interplay between seismic indicators and the occurrence of earthquakes. Ultimately, the findings aim to contribute to the refinement and validation of seismic forecasting models, thereby bolstering disaster preparedness and risk mitigation strategies.