The accuracy of seepage calculations in rock mass is directly influenced by the confidence level of the corresponding discontinuities network models. For the purpose of more efficient application of the stochastic discontinuities model, improvements of efficiency, both in-situ measurements and subsequent statistical analyses with respect to the discontinuities parameters are needed. New digital techniques, e.g. GPS (Global Positioning System) and GIS (Geographical Information System), are applied to the in-situ measurements and data processing of discontinuities parameters. Confidence level of the new model is significantly augmented compared with the accuracy and sampling quantity of the less efficient and more labor-intensive traditional in-situ measurements. Over 10,000 discontinuities were measured using GPS in Chinese high-level radioactive waste repository candidate site in Beishan. The three-dimensional stochastic discontinuities network model is established based upon the statistical analyses of the digitalized samples. The accuracy of the model is graphically and numerically validated. Results suggest that higher accuracy of the stochastic model is obtained based on the proposed digital techniques, and the requirement of engineering application is better fulfilled.

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