Gaussian or non-Gaussian logconductivity distribution at the MADE site: What is its impact on the breakthrough curve?

The impact of the logconductivity ( Y = ln K ) distribution f Y on transport at the MADE site is analyzed. Our principal interest is in non-Gaussian f Y characterized by heavier tails than the Gaussian. Both the logconductivity moments and f Y itself are inferred, taking advantage of the detailed measurements of Bohling et al. (2012). The resulting logconductivity distribution displays heavier tails than the Gaussian, although the departure from Gaussianity is not significant. The effect of the logconductivity distribution on the breakthrough curve (BTC) is studied through an analytical, physically based model. It is found that the non-Gaussianity of the MADE logconductivity distribution does not strongly affect the BTC. Counterintuitively, assuming heavier tailed distributions for Y , with same variance, leads to BTCs which are more symmetrical than those for the Gaussian f Y , with less pronounced preferential flow. Results indicate that the impact of strongly non-Gaussian, heavy tailed distributions on solute transport in heterogeneous porous formations can be significant, especially in the presence of high heterogeneity, resulting in reduced preferential flow and retarded peak arrivals. [ABSTRACT FROM AUTHOR]