Monte Carlo analysis of field water flow comparing uni- and bimodal effective hydraulic parameters for structured soil

• Published in: Journal of contaminant hydrology 2009-02, Vol.104 (1), p.153-165
• Main Authors: Coppola, A., Basile, A., Comegna, A., Lamaddalena, N.
• Format: Article
• Language: English
• Subjects: Computer Simulation; Ensemble parameters; Monte Carlo analysis; Monte Carlo Method; Pressure; Soil; Soil structure; Unimodal and Bimodal hydraulic functions; Water Movements
• ISSN: 0169-7722; 1873-6009
• DOI: 10.1016/j.jconhyd.2008.09.007

Soil structure critically affects the hydrological behaviour of soils. In this paper, we examined the impact of areal heterogeneity of hydraulic properties of a structured soil on soil ensemble behaviour for various soil water flow processes with different top boundary conditions (redistribution and drainage plus evaporation and infiltration). Using a numerical solution of the Richards' equation in a stochastic framework, the ensemble characteristics and flow dynamics were studied for drying and wetting processes observed during a time interval of ten days when a series of relatively intense rainfall events occurred. The effects of using unimodal and bimodal interpretative models of hydraulic properties on the ensemble hydrological behaviour of the soil were illustrated by comparing predictions to mean water contents measured over time in several sites at field scale. Although the differences between unimodal and bimodal fitting are not significant in terms of goodness of fit, the differences in process predictions are considerable with the bimodal soil simulating water content measurements much better than unimodal soil. We also investigated the relative contribution of the soil variability of each parameter on the variance of the water contents obtained as the main output of the stochastic simulations. The variability of the structural parameter, weighting the two pore space fractions in the bimodal interpretative model, has the largest contribution to water content variance. The contribution of each parameter depends only partly on the coefficient of variation, much more on the sensitivity of the model to the parameters and on the flow process being observed. We observed that the contribution of the retention parameters to uncertainty increases during drainage processes; the opposite occurs with the hydraulic conductivity parameters.