Ij. Vanwesenbeeck et Rg. Kachanoski, PREDICTING FIELD-SCALE SOLUTE TRANSPORT USING IN-SITU MEASUREMENTS OFSOIL HYDRAULIC-PROPERTIES, Soil Science Society of America journal, 59(3), 1995, pp. 734-742
Predicting unsaturated solute transport using measured hydraulic param
eters has been difficult due to the inherent variability of soil prope
rties, and the difficulty in obtaining accurate estimates of hydraulic
properties in situ. The objective of this study was to determine if i
n situ measurement of soil hydraulic conductivity, the alpha soil para
meter, and the water content (theta) vs. pressure head (h) relationshi
p could be used to predict field-scale solute transport. A series of s
teady-state solute transport experiments were conducted on a Fox sand
(fine-loamy over sandy or sandy-skeletal, mixed, mesic Typic Hapludalf
) soil in Ontario, Canada. The transport of Cl- under steady-state wat
er Bur was monitored in three separate experiments using solution samp
lers. Steady-state water flux densities applied at the soil surface we
re 9.72 x 10(-6), 1.53 x 10(-5), and 8.68 x 10(-8) m s(-1), respective
ly, for the three sites. After completion of the transport experiments
at Site II, measurements of soil hydraulic conductivity and the alpha
parameter were made using the Guelph pressure infiltrometer (GPI) bes
ide each location and depth where solute breakthrough curves (BTCs) we
re measured, as well as at the soil surface. Undisturbed soil cores we
re taken at each location where GPI measurements were made for estimat
ing the parameters in the theta(h) using van Genuchten's equations. Th
e GPI- and core-measured hydraulic parameters obtained at Site II were
used to predict the field-scale solute travel time probability densit
y function (PDF) at the same site, and at Sites I and III using a stoc
hastic-convective model. Observed solute travel time PDFs were predict
ed quite wed at high surface water fluxes, which were close to the fie
ld saturated hydraulic conductivity, K-fs by both the GPI and core met
hods. Both methods underpredicted the variability of the observed trav
el time PDF.