Modeling of geochemical processes Reactive-Transport Models J. Faimon Modeling of geochemical processes Dynamic models Modeling of geochemical processes Dynamic models Mass flux The flux j[i] into the volume element V. The flux j[i] relates to an increment of content m[i] in the volume element V: Modeling of geochemical processes Dynamic models The increment of concentration dc[i] in the volume element dV in time dt equals to gradient of flux j[i]^D in direction x: Modeling of geochemical processes Dynamic models Modeling of geochemical processes Dynamic models The complete diffusion equation is: Modeling of geochemical processes Dynamic models Modeling of geochemical processes Dynamic models Modeling of geochemical processes Dynamic models Modeling of geochemical processes Dynamic models The change in concentration due to (1) transport, (2) dispersion (diffusion) and (3) reaction Modeling of geochemical processes Dynamic models Diffusion and reaction Modeling of geochemical processes Dynamic models Diffusion of aqueous Fe through alkaline solution in pore environment Modeling of geochemical processes Dynamic models Modeling of geochemical processes Dynamic models Modeling of geochemical processes Dynamic models The analytical solution The Gaussian function where s is referred to as the spread or standard deviation and A is a constant The function can be normalized yielding the normalized Gaussian: The Error function The relation between the normalized Gaussian distribution and the error function equals: A series approximation for small value of x is given by: Modeling of geochemical processes Dynamic models An approximate expression for large values of x can be obtained from: The Complementary Error function The complementary error function equals one minus the error function yielding: which, combined with the series expansion of the error function listed above, provides approximate expressions for small and large values of x: Modeling of geochemical processes Dynamic models Numeric solution of diffusion equation The Method of Finite Differential Creation of a uniform net by discretization of the variables x and t * Let Dx and Dt are discrete steps on variables x and t, respectively. The variables x and t are defined as x = i Dx and t = j Dt, respectively. * The index i or j relates to a step number. i and j are 0,1,2...n! * The concentration relates to a point in the two-dimensional net with coordinates x = iDx a t = jDt. Modeling of geochemical processes Dynamic models Differentiation with respect x (in the point j) can be replaced by finite difference: and Modeling of geochemical processes Dynamic models The complete diffusion equation is: