Solute transport in soils can be described in terms of solute travel t
ime probability density functions (pdfs). In the past, parameterized f
unctional forms for the travel time pdf have been derived based on mod
els of physical transport processes and the properties of the soil, or
have been obtained from observed transport behavior. Alternatively, a
nonparametric pdf for a particular soil can be measured experimentall
y. In general, this measurement requires deconvoluting the pdf, which
is mathematically an ill-posed problem. In this paper we perform the d
econvolution using a constrained regularization approach. The regulari
zation method uses a basis function representation of the travel time
pdf which eliminates numerical problems associated with the standard r
egularization approach. The method is tested using synthetic and exper
imental data. Regularized solutions are evaluated using Provencher's (
Provencher, 1982a) F test statistic along with a visual inspection of
their fit to the data. We analyze data from previously published field
experiments and the results suggest multimodal travel time pdfs may b
e appropriate for modeling transport in soils. (C) 1998 Elsevier Scien
ce B.V. All rights reserved.