Cross-correlation analysis method on explosion seismic waves data

In this paper, we propose a novel data pre-processing method for conducting explosion, which is to resolve the complex, aperiodic, and stochastic seismic waves generated by underground explosion. The method can estimate the level of similarity and data effectiveness. Based on the theoretical analysis on cross-correlation influence factors, three critical parameters, i.e. the proportionality coefficient mean, the proportionality coefficient deviation weighted mean, and the proportionality coefficient deviation weighted variance, were put forward to establish the relationship between cross-correlation coefficient and data similarity. The verification results show that the cross-correlation coefficient can well represent the level of similarity and effectively figure out the similarity on explosion seismic waves, and develop necessary technical support with the following seismic effect analysis. © 2020, International Association of Engineers. All rights reserved.