1. What is the basis of short-term earthquake forecasting?
The basis of short-term earthquake forecasting is creating a network of stations that register changes in geophysical, geochemical, hydro-geological, and other parameters of the geological medium before strong earthquakes near potential sources. This network helps in detecting deterministic processes and precursors that indicate an imminent seismic event. Statistical methods are also applied to assess the possibility of earthquakes within medium-term time intervals, ranging from months to years, and even up to several hours before the onset of impending seismic events.
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2. What are the effects of cracks on the electrical conductivity of rocks in earthquake prediction?
The study of the influence of cracks on various physical properties of rocks is crucial for earthquake prediction. The conductivity of natural media is determined by the transfer of electric charges through the movement of electrons, ions, and holes. In the epicenter of an earthquake, the number and length of elementary cracks increase, while some cracks close, and a main crack may appear. These changes in the rock's structure lead to a significant alteration in its electrical resistance. As the soil level and density change, the specific electrical conductivity of rocks can vary by several orders of magnitude compared to their initial value. This variation in conductivity affects the characteristics of the magnetic field. By utilizing the INTERMAGNET international network to monitor the Earth's magnetic field, a technique can be developed to predict seismic processes in various regions of the world in near real-time.
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3. What deterministic phenomena were analyzed in the earthquake study?
The study analyzed deterministic phenomena associated with the 'final preparation' of the earthquake, which occurred on June 25, 2021, near Yayladere, Turkey. The researchers identified 'graphic precursors' in the form of repeating phenomena of channel and sliding boundary emergence. These phenomena were investigated to understand their properties and potential for predicting future earthquakes. The authors suggest further research to determine the time, coordinates, and magnitude of future earthquakes using the proposed methodology.
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