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首页> 美国政府科技报告 >Prediction of Far-Field Subsurface Radionuclide Dispersion Coefficients from Hydraulic Conductivity Measurements: A Multidimensional Stochastic Theory with Application to Fractured Rocks.
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Prediction of Far-Field Subsurface Radionuclide Dispersion Coefficients from Hydraulic Conductivity Measurements: A Multidimensional Stochastic Theory with Application to Fractured Rocks.

机译：水力传导率测量预测远场地下放射性核素扩散系数：多维随机理论及其在裂隙岩体中的应用。

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摘要

Radionuclides released to the subsurface environment from a radioactive waste repository will be transported and spread through the host rock by groundwater. The average distance traveled by such radionuclides in a given time is determined by the groundwater seepage velocity. The degree to which a plume of radionuclides spreads about its center of gravity is controlled by the dispersion coefficient of the flow field, which in turn depends on the seepage velocity as well as the dispersivity of the host rock. Most existing subsurface transport models are based on the Fickian adection-dispersion equation. The method of predicting the dispersivity parameter is based on a stochastic theory akin to that developed by others for turbulent diffusion. The formulae developed in this study have been applied to fractured granitic rocks near Oracle, southern Arizona. The authors believe that the same formulae should also be applicable to other fractured rocks. The U.S. Nuclear Regulatory Commission may be asked to approve applications for licensing subsurface high-level nuclear waste repositories in low-permeability fractured rocks.

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