Aiming at the inherent endpoint effect of Empirical Mode Decomposition(EMD) of blasting seismic wave signal,an EMD endpoint effect suppression method based on Boundary Local Characteristic Scale and Adaptive Matching Extension(BLCS-AME) is proposed.In this method,the internal relationship between the global time parameters of the original signal and the local variation trend of the amplitude parameters of the signal at the endpoint are considered together to obtain the extended Boundary Local Characteristic Scale(BLCS).Then,taking BLCS as the research object,a set of time series with the highest matching degree with the BLCS are found in the original signal.Finally,the time series are translated to the endpoint of the original signal for EMD,and the BLCS-AME based EMD endpoint effect suppression processing can be realized.Through the comparative analysis of EMD endpoint effect suppression of simulated signals by various methods,it can be concluded that compared with conventional endpoint effect suppression methods,the BLCS-AME method has better inhibition ability to suppress EMD endpoint effect,and inherent mode function(IMF) with higher accuracy can be obtained,which can better reflect the internal attributes of signals.Finally,the method is applied to the actual blasting seismic wave signal EMD,it can be found that the method can effectively suppress the endpoint effect generated in the process of blasting seismic wave signal EMD,and it is beneficial to extract the detail characteristic parameters of blasting seismic wave signal and obtain the characteristic parameters reflecting the inherent properties of blasting seismic wave signal,which has important practical significance for blasting seismic hazard control.