A Path Dispersion Curve Picking Method Based on Clustering Algorithm
The multichannel analysis of surface waves(MASW)method is an effective tool to deter-mine the near-surface shear wave velocity,but its reversion resolution is poor because the inverted one-dimensional shear wave velocity model only reflects the shear wave velocity change in the vertical direc-tion of the receiver array midpoint.In comparison to the MASW method,surface wave tomography holds significant potential for enhancing the lateral resolution of near-surface features.In the surface wave tomography inversion method,it takes a lot of time and cost to manually pick up the dispersion curve from the average dispersion energy spectrum between a large number of receiver pairs(paths).Therefore,the clustering algorithm is carried out to automatically pick up the phase velocity dispersion curve from the path average dispersion energy spectrum to solve this problem.The experimental results of both synthetic data and actual surface wave data have verified the correctness of the method proposed in this paper.