Scaling Laws and Dynamic Source Parameters of Mining-induced Seismicity: A Case Study of Dongtan Coal Mine, China

As deep mining continues， the interactions between goaf and geological structures further trigger the strata collapse or the fault reactivation， leading to seismic events. The present study utilised a high-precision seismic database to conduct a clustering analysis， and to analyse the seismic parameters of typical events based on statistical seismology. The results indicate that the scaling law between seismic moment and corner frequency in induced seismic events differs from the self-similar scaling observed in earthquakes. In the context of comparable moment conditions， the radiated seismic energy of induced seismic events is found to be lower than that of both natural earthquakes and injection-induced seismic events. By estimating the scaling exponent through non-parametric regression， it is determined that the stress drop of mining-induced seismicity does not satisfy the expectations of the constant stress drop model. Furthermore， based on Savage-Wood efficiency， it is found that the seismic efficiency of mining-induced seismicity is lower than that of natural earthquakes and injection-induced seismicity. Finally， the limitations encountered in estimating source parameters and scaling laws for small-to-medium-sized seismic events are discussed. The present study proposes a theoretical framework for a detailed comparison of mining-induced seismic events with scaling laws observed in other types of events.