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. Improving the knowledge of seismogenic faults requires the integration ofgeological, seismological, and geophysical information. Among severalanalyses, the definition of earthquake focal mechanisms plays an essentialrole in providing information about the geometry of individual faults andthe stress regime acting in a region. Fault plane solutions can be retrievedby several techniques operating in specific magnitude ranges, both in thetime and frequency domain and using different data. For earthquakes of low magnitude, the limited number of available data andtheir uncertainties can compromise the stability of fault plane solutions.In this work, we propose a useful methodology to evaluate how well a seismicnetwork, used to monitor natural and/or induced micro-seismicity, estimatesfocal mechanisms as a function of magnitude, location, and kinematics ofseismic source and consequently their reliability in defining seismotectonicmodels. To study the consistency of focal mechanism solutions, we use aBayesian approach that jointly inverts the P/S long-period spectral-levelratios and the P polarities to infer the fault plane solutions. We appliedthis methodology, by computing synthetic data, to the local seismic networkoperating in the Campania–Lucania Apennines (southern Italy) aimed tomonitor the complex normal fault system activated during the Ms 6.9, 1980earthquake. We demonstrate that the method we propose is effective and canbe adapted for other case studies with a double purpose. It can be a validtool to design or to test the performance of local seismic networks, and moregenerally it can be used to assign an absolute uncertainty to focalmechanism solutions fundamental for seismotectonic studies.

A functional tool to explore the reliability of micro-earthquake focal mechanism solutions for seismotectonic purposes