AI Summary & Key Takeaways
AI InsightMoment tensor analyzes depict that reliable source mechanism solutions can be obtained using a small number of station records.
📌 3 Key Takeaways
Abstract
The Monitoring of the Ganos Fault data presents significant opportunities and challenges for earthquake detection, location and magnitude calculations, source mechanism solutions, and discovery of fault zone waves. This study indicates mostly of preliminary data analysis and seismological evaluations. While narrow distance aperture installation has an opportunity to detect microearthquakes, it also causes significant difficulties in determining the source parameters of micro-earthquakes. Extracting microearthquakes from continuous data shows that special strategies need to be used. MONGAN data revealed the presence of many earthquakes with magnitude M<1.0 in the study region. These earthquakes are mostly out of network earthquakes and it is very difficult to obtain reliable solutions due to the insufficient azimuthal distribution of the stations. It is obvious that different network techniques and wave particle motion analyzes are contributed to the location and source parameters. Although the fault zone structure consists of two different lithologies that make significant differences in seismic wave phase arrival times and wave amplitudes, we observe fault zone head waves on both sides along the Ganos fault. Moment tensor analyzes depict that reliable source mechanism solutions can be obtained using a small number of station records.