Abstract

This study analyzes the possibility to use geophysical and geochemical parameters in an OEF (Operational Earthquake Forecasting) application correlated with short-term changes in seismicity rates using a magnitude–frequency relationship. Tectonic stress over the limits of rock elasticity generates earthquakes, but it is possible that the emission of gases increases as a result of the breaking process. The question is how reliable is the emission of radon-222 and Carbon Dioxide (CO2), with effects on air ionization and aerosol concentration, in an OEF application? The first step is to select the seismic area (in our study this is the Vrancea area characterized by deep earthquakes at the bend of the Carpathian Mountains), then determine the daily and seasonal evolution of the forecast parameters, their deviations from the normal level, the short-term changes in seismicity rates using a magnitude–frequency relationship and finally to correlate the data with recorded seismic events. The results of anomaly detection, effect evaluation and data analysis alert the beneficiaries specialized in emergency situations (Inspectorate for Emergency Situations, organizations involved in managing special events). Standard methods such as the standard deviation from the mean value, time gradient, cross correlation, and linear regression are customized for the geological specificity of the area under investigation. For detection we use the short-time-average through long-time-average trigger (STA/LTA) method on time-integral data and the daily–seasonal variation of parameters is correlated with atmospheric conditions to avoid false decisions. The probability and epistemic uncertainty of the gas emissions resulting from this study, in addition to other precursor factors such as air ionization, time between earthquakes, temperature in the borehole, telluric currents, and Gutenberg Richter “a-b” parameters, act as inputs into a logical decision tree, indicating the possibility of implementing an OEF application for the Vrancea area. This study is novel in its analysis of the Vrancea area and performs a seismic forecasting procedure in a new form compared to the known ones.

Highlights

  • Our study looks into the monitoring of gas emissions with the goal to develop an operational earthquake forecasting (OEF) application for the Vrancea area, which is characterized by deep earthquakes at the bend of the Carpathian Mountains

  • This study indicates the possibility of including the monitoring of gas emissions in a complex OEF system, with applications for the Vrancea seismic zone and the transmission of information in the existing seismic warning network

  • The Gutenberg Richter (GR) a-b parameters were included in the table because they represent the magnitude–frequency relationship used by OEF applications (Figure 13)

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Summary

Introduction

An OEF (Operational Earthquake Forecasting) application is based on the real-time monitoring of geophysical and geochemical parameters as well as the long-term data analysis In this context, the monitoring of gas emissions due to tectonic stress could be an important component in making decisions to reduce losses caused by a seismic event. This study indicates the possibility of including the monitoring of gas emissions (radon-222, CO2 ) in a complex OEF system, with applications for the Vrancea seismic zone and the transmission of information in the existing seismic warning network. Such a decision-making system could be useful in risk mitigation actions [26]. The statement “Clearly, any practical use of forecasting methods must be done in an appropriate policy framework, one that can weigh costs against benefits and potential gains against possible risks” [27] applies in our case

Monitoring Network
Data and Detection Methods
OEF Procedure
31 March 2020
Discussion and Conclusions
Full Text
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