Abstract：In order to build a relatively accurate near-surface velocity model,we put forward in this paper a new method based on multi-discipline information fusion.First we calculate corresponding variogram functions and weights for the interpolation with Cokriging interpolation based on velocity correlation and change trend between first break tomography inversion and near-surface survey.Then we use covariance to estimate spatial velocity variables,and obtain a final velocity model in which lateral velocity variation trend is consistent with both first break tomography inversion and near-surface survey velocity.So this method improves velocity model accuracy.Good results have been achieved in rugged surface area,Western China,which verifies the effectiveness of the proposed method.
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