SUMMARY The linear Gauss–Markov model for waveform-based moment tensor inversion often relies on the overdetermined least-squares method. It needs a proper stochastic of observables accurate and precise estimates unknown parameters. Furthermore, estimating level distribution random errors in observed waveforms is challenging due to assessing minimum-variance unbiased estimator (MVUE). Hence, ac...

The moment tensor inversion is a commonly-used method to interpret source mechanisms of microseismicity. In the for real data (e.g. microseismicity recorded during hydraulic fracturing), waveforms by sensors can be mixtures signals and noise, or superposition generated multiple sources. Then traditional approach may result in inaccurate solutions. this article, we developed new based on correla...

Using a regional time-domain waveform inversion for the complete moment tensor we calculate the deviatoric and isotropic source components for several explosions at the Nevada Test Site (NTS) as well as earthquakes, and collapses in the surrounding region of the western U.S. The events separate into specific populations according to their deviation from a pure double-couple and ratio of isotrop...

-The fault parameters of the Guam earthquake of August 8, 1993 are estimated from seismological analyses, and the possibility of identifying the actual fault plane from tsunami waveforms is tested. The Centroid Moment Tensor solution of long-period surface waves shows one nodal plane shallowly dipping to the north and the other nodal plane steeply dipping to the south. The seismic moment is 3.5...