There has been renewed interest in the application of functional models to
the transport of nonpoint source pollutants at polypedon (i.e., farm) and w
atershed scales because of the ease of their coupling to a geographic infor
mation system and to the accepted organizational hierarchy of pedogenetic m
odeling approaches. However, very little work has been done to evaluate the
performance of a functional transient-state model for the transport of a r
eactive solute over an extensive study period. Subsequently, the functional
model TETrans (Trace Element Transport) was evaluated for model performanc
e with boron (B) transport data collected from a meso-scale soil lysimeter
column over a 1000-day study period (i.e., 40 irrigations). Because the abi
lity to simulate water now has been evaluated previously for TETrans, the f
ocus of this evaluation centered around the performance of various function
al models of B adsorption used as subroutines within the TETrans model, inc
luding the (1) Freundlich, (2) kinetic Freundlich, (3) Langmuir, (4) temper
ature-dependent Langmuir, and (5) pH-dependent Keren adsorption isotherm eq
uations. Model performance was evaluated with statistical functions, specif
ically the Average Absolute Prediction Error, the Root Mean Square Error, t
he Reduced Error Estimate and the Coefficient of Residual Mass, and graphic
displays of observed and predicted B concentration profiles. Even though n
o single adsorption isotherm equation, when coupled to TETrans, could be co
nsidered poor in its performance, results indicated that the order of model
performance was the pH-dependent Keren equation first, followed by the tem
perature-dependent Langmuir and kinetic Freundlich equations, the Freundlic
h equation, and, finally, the Langmuir equation. Overall, the TETrans model
was able to simulate the transport of B with deviations because no functio
nal adsorption equation incorporated all the influences of pH, ionic streng
th, temperature, and kinetic effects into a single equation. The inability
to correctly predict one of the measured peaks in B concentration near the
soil surface suggests that problems with the timing of the sample collectio
n may have occurred for the shallowest sampling depth.