This note describes a procedure for evaluating the accuracy of numerical so
lute transport models in situations where exact closed-form solutions are d
ifficult or even impossible to obtain. The procedure attempts to match a sp
ecified closed-form "test solution" by adding forcing terms to the original
equation, which is solved numerically. The quality of the match provides v
aluable information about the performance of the numerical algorithm. We il
lustrate this "prescribed forcing method" with an example which simulates s
olute transport in a heterogeneous velocity field. The numerical solver con
sidered in the example is based on the Eulerian-Lagrangian method with line
ar velocity and concentration interpolation. Two test solutions of differen
t degrees of difficulty are considered. Differences between the exact and n
umerical test solutions for the example clearly reveal the influence of gri
d resolution on model accuracy. The example demonstrates that the prescribe
d forcing method can be used to assess numerical accuracy in practical situ
ations where model inputs are highly variable and the true solution is unkn
own.