Estimating unsaturated hydraulic conductivity often relies on using water r
etention characteristics. Because the water retention curves do not provide
information about the pore connectivity, an empirical correction is used i
n capillary bundle models that are fitted to unsaturated hydraulic conducti
vity data. The majority of authors have applied the macroscopic correction
expressed as a function of water content, A microscopic correction term exp
ressed as a power function of a pore radius was proposed in the literature
but was not tested with a large representative soil data set. The purpose o
f this work was to apply the "hydraulic conductivity-water retention" model
with the microscopic connectivity correction to a large data set to see wh
at accuracy can be achieved and whether it is possible to relate the connec
tivity parameters to some readily available soil properties. Data for 147 s
oil horizons were extracted from the unsaturated soil hydraulic database UN
SODA. Water retention and hydraulic conductivity data were in the range of
capillary pressures >5 kPa and from 5 to 200 kPa, respectively. The model p
rovided an accurate approximation, and root mean square error (RMSE) in est
imated log(10)k was 0.21. Two parameters of the model appeared to be correl
ated closely so that using only one connectivity parameter was sufficient.
Reducing the number of parameters from two to one and refitting the one-par
ametric model to data decreased the accuracy of the estimates, The RMSE inc
reased from 0.21 to 0.31. That only one empirical parameter was needed to d
escribe the unsaturated hydraulic conductivity helps to reduce the number o
f measurements of this hydraulic property because a single parameter can be
estimated from a limited number of observations.