RECENT ADVANCES IN EXPLOSION SOURCE MONITORING USING SYNTHETIC AND EMPIRICAL DATA (Invited Presentation)

In this presentation, we brief on the recent geophysical advances in explosion monitoring that use the well calibrated end-to-end simulation approaches towards detection, location and identification of source type for small events in the area of global interest. To this end, we discuss the moment-tensor modeling efforts, the importance of short-period waves in determining the source complexity of small explosions whose recordings are often influenced by non-isotropic sources. We will illustrate how routine algorithms are challenged as the magnitude of the event decreases and stations recording the events are located at large distances. This presentation will summarize our continued efforts illustrating the importance of geological framework model together with the non-linearity of the source region and stochastic perturbation of model parameters in modeling waveforms from the source-physics experiment (SPE) explosions. We will discuss how the knowledge gained therein can be extended to modeling waveforms of seismograms of relatively longer-period full waveforms. We present result illustrating how to introduce stochastic model parametrization in large 1D/2D/3D models including attenuation for the regional waveform modeling. We will review our on-going efforts in finding reliable locations of shallow events of interest occurring in a mountain topography and strategies on how to calibrate of P and S travel times when an essential new station become available for explosion monitoring. Finally, we will discuss the integration of AI/Ml algorithms into the modern day explosion source monitoring for event identification and source parameter estimation.