Abstract
Physically-based models are used extensively to simulate the infiltration process at the field scale. In general, the models predict outputs considering the deterministic nature of soil hydraulic conductivity and many other input parameters. A prime difficulty with these predictions is likely to be the lack of accountability for spatial variations of many input parameters involved. This paper presents an approach to include the spatial variability of hydraulic conductivity in field-scale infiltration modelling. A model describing the spatial structure of hydraulic conductivity has been developed to generate spatial hydraulic conductivity data which have been incorporated into a Green-Ampt and Mein-Larson infiltration model. The model has a been evaluated to a plot-scale situation under simulated rainfall conditions. The field experiments were conducted with the Guelph Rainfall Simulator at Agriculture Canada facilities in Ottawa, Ontario (Canada). The analysis of the results reveals that the GAML model, combined with a spatial structure for hydraulic conductivity, is capable of simulating the rainfall infiltration process for a spatially variable field soil.
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