Abstract

The soil sorptivity, S, and saturated hydraulic conductivity, Ks, can be estimated from the inverse analysis of a cumulative infiltration curve using the quasi-exact implicit (QEI) formulation or its corresponding 4-Terms (4T) approximation. Although these models consider the soil as homogeneous media, there is no information about how heterogeneous profiles can affect the inferred soil properties. This work analyzes the influence of layered soils on Ks and S estimates using QEI and 4T models, and designs a new procedure for treating infiltration curves measured on layered soil profiles. The Sequential Infiltration Analysis (SIA) method considers a sequence of increasing time series from the cumulative infiltration data to estimate Ks and S, and its corresponding RMSE as a function of the number of samples used. A procedure to estimate the thickness of the upper uniform soil layer from the estimated wetting front advance (WFA) is also reported. The SIA method was applied on: (i) synthetic homogeneous profiles of loam soil and six layered profiles involving a 1, 2 and 3 cm thickness loam layer over silty or sandy loam soils, respectively, (ii) stratified laboratory soil columns, and (iii) 20 experimental infiltrations performed in a semiarid region of North-Eastern Spain. Similar results were found between QEI and 4T models for all cases. Erroneous estimates of Ks and S were observed when the total infiltration time series was considered for the analysis, regardless of the presence of soil layering. In opposite, estimates improved when the SIA method was applied to the layered systems. The SIA method exploits the fact that the RMSE increases when the wetting front reaches the interface between the soil layers. Such increase allows: (i) detection of the soil heterogeneity, (ii) determination of the infiltration time, to, required for the wetting front to reach the lower layer, and, (iii) accurate estimates of the upper layer Ks and S along with its thickness. Laboratory experiments on layered soils and field measurements demonstrated that the SIA method could be satisfactorily applied on different curves with contrasting shapes and magnitudes. Although soil layering encountered on most field samplings restricted the treatment of the observed infiltrations to short-medium times, the SIA method allowed robust estimates of Ks and S. These results indicate that the proposed method is a promising tool for characterizing the hydraulic properties of layered and heterogeneous soil profiles.

Highlights

  • Measurements of the soil surface hydraulic properties is crucial to solve many hydrological engineering and environmental issues linked to soil water storage and transport in the vadose zone

  • The initial divergences could be attributed to the large tension difference at the beginning of the experiment, which changes from -10-3 to -107 cm, and affects the numerical stability of the simulated cumulative infiltrations

  • This work presents a procedure to analyze the infiltration curves measured on layered soil profiles

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Summary

Introduction

Measurements of the soil surface hydraulic properties is crucial to solve many hydrological engineering and environmental issues linked to soil water storage and transport in the vadose zone. The tension disc infiltrometer (Perroux and White, 1988) has become a popular infiltration method because of the portable and its easy in-situ applicability (Angulo-Jaramillo et al, 2000) This instrument consists of a disc base attached to a water-supply reservoir and a bubbling tower to impose a negative pressure head (h) at the disc base (Perroux and White, 1988). The soil hydraulic properties, sorptivity (S) and hydraulic conductivity (Ks), are commonly calculated from the cumulative water-infiltration curve measured with the disc infiltrometer. To this end, methods based on the transient state data analysis can be employed. The main advantage of the transient methods, compared to water steady-state based procedures (Ankeny et al, 1991; Lassabatere et al, 2006), is that they allow shorter experiments, which involves smaller sampled soil volumes, and a more homogeneous soil and initial water content profile (Angulo-Jaramillo et al, 2000)

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