Pedotransfer functions (PTFs) have gained recognition in recent years as an
approach to translate simple soil characteristics found in soil surveys in
to more complicated model input parameters. However, existing pedotransfer
functions have not Set incorporated critical soil structural information. T
his study showed that soil hydraulic properties could be estimated from mor
phological features determined in situ (including texture, initial moisture
state, pedality, macroporosity, and root density) through a morphology qua
ntification system. Comparison between the class and continuous PTFs develo
ped in this study indicated that the use of quantified morphological proper
ties yielded predictive power similar to that of physical properties in est
imating hydraulic conductivity at zero potential; water now rates in macro-
, meso-, and micropores: and a soil structure and texture parameter alpha(m
acro). The results confirmed that soil structure was crucial in characteriz
ing hydraulic behavior in macropore now region; whereas texture had major i
mpact on those hydraulic properties controlled by micropores. Depending on
the flow domain to be included, estimation of hydraulic properties required
the use of different combinations of morphometric indices or physical prop
erties. The PTFs established mag be used as starting points for estimating
model input parameters.