RESEARCH AND APPLICATION OF GEOLOGICAL HAZARDS PROCESS RECONSTRUCTION BASED ON SEISMIC SIGNAL ANALYSIS

Geological hazards usually resulted in varying degrees of damage to vegetation and infrastructure. Despite important research efforts such as physical modeling and numerical simulation, the mechanisms that govern the hazard process in a natural environment are still unclear due to a lack of instant on-site monitoring. Nonetheless, on-site monitoring instruments and equipment are still vulnerable to hazards and experienced destruction during the large hazard event, making it difficult for data collection and subsequent validation of numerical models. Therefore, it is urgent to find an effective method to reconstruct the hazards process. With the development of seismology, it is now possible to use the long-period seismic signals recorded by the seismic stations to provide a specific diagnostic of geological hazards. This study explores a set of new methods for the reconstruction of geological hazards based on the seismic signals and subsequent analyzing methods such as Band-Pass filter(BP-filter), Empirical mode decomposition(EMD), fast Fourier transform(FFT), short-time Fourier Transform(STFT), and power spectral density(PSD). The basic dynamic characteristics of geological hazards can then be revealed by comparing and analyzing the field survey results, together with the numerical simulations. Several case studies and analyses of dammed lakes, landslides, debris flows, and other hazards are then illustrated for validating the method. Results suggest the method may be a new way for the fast reconstruction of the evolution process of geological hazards for hazards warning and mitigation.