Abstract. Traditional models employed to predict the soil water retention curve (SWRC)
from the particle size distribution (PSD) always underestimate the water
content in the dry range of the SWRC. Using the measured physical parameters
of 48 soil samples from the UNSODA unsaturated soil hydraulic property
database, these errors were proven to originate from an inaccurate estimation
of the pore size distribution. A method was therefore proposed to improve the
estimation of the water content at high suction heads using a pore model
comprising a circle-shaped central pore connected to slit-shaped spaces. In
this model, the pore volume fraction of the minimum pore diameter range and
the corresponding water content were accordingly increased. The predicted
SWRCs using the improved method reasonably approximated the measured SWRCs,
which were more accurate than those obtained using the traditional method and
the scaling approach in the dry range of the SWRC.