High-resolution source imaging based on time-reversal wave propagation simulations using assimilated dense seismic records

This paper describes an efficient approach to high-resolution time-reversal source imaging simulation. Dense seismograph network records are backpropagated from stations to the hypocentre through a 3-D subsurface structure model to estimate the initial source wavefield at the earthquake initiation time. By assimilating high-density observational data into the time-reversal wave propagation, a clearer source image can be determined, even for deep and distant earthquakes, than is achievable with conventional source imaging. The effectiveness of data-assimilation-based source imaging by a time-reversal wave propagation simulation with a 3-D heterogeneous structural model was demonstrated using recordings from a nationwide strong-motion seismograph network during the 2007 Off Niigata, Japan, M-w 6.6 earthquake, and the 2007 Off Ibaraki, Japan, M-w 6.8 earthquake. Such data-assimilated-based simulations are also effective for early forecasting of strong ground motions caused by large earthquakes through fast time-advancing simulations based on the current assimilated wavefield. We will discuss the feasibility of a disaster prevention system for the early forecasting of strong motion disasters due to large earthquakes, based on repeatedly estimating source parameters and forecasting strong motions in future time based on the current assimilated wavefields.

Automated summary

This paper introduces an efficient approach to high-resolution time-reversal source imaging simulation, which assimilates observational data to determine clearer source images, even for deep and distant earthquakes. This data-assimilated-based simulation method is effective for early forecasting of strong ground motions caused by large earthquakes.