Use of passive capillary sampler to measure in-situ percolation fluxes of water and solutes in a soil. Uncertainty nalysis, expermimental methodology and first results

Passive capillary samplers, which sample water from the vadose zone via a hanging water column in a fiberglass wick, have shown potential to provide better estimates of actual soil percolation fluxes than alternative field methods. Unsaturated and saturated flows (water and solutes) are extracted continuously and without external vacuum generator from a nondisturbed soil volume, through a significant area (typically 600cm2). In order to achieve a minimal disturbance of the native flow regime, the wick type (hydraulic conductivity and section), length and number and the contact area have to be dimensioned to match as close as possible the expected soil pressure/flow conditions. First, the Hydrus 2D code (Simunek et al., 1999) solving the Richards equation for simulating two dimensional unsaturated flow was used to evaluate the uncertainties in flux estimation by such passive capillary samplers. Two sources of uncertainties were examined. Those associated with the theoretical assumptions of the dimensioning of the wick and those associated to experimental uncertainties. A numerical experimentation was conducted on two reference soils submitted to a 11 days actual hyetograph. Results showed that an analytical dimensioning method proposed in the literature is relevant. But significant errors on the observed fluxes occur when the soil and wick properties do not exactly match, which is the common case since the range of available characteristics of fiberglass wicks is limited. Also, uncertainties in the hydraulic conductivity properties of the soil, in wick length appear to have an important influence on the representativity of the wick fluxes against the actual soil drainage fluxes. Elsewhere, eight such samplers have been installed for an in situ long term experimentation ,initiated this year in the Ardière Watershed (France). The objective is to measure water and pesticides percolation fluxes, at a 50cm depth under a grassed strip receiving contaminated runoff. Flow rate and pesticide concentration in surface runoff water are also measured so as to determine the soil boundary condition above each sampler. Soil water content and soil matric potential are measured at three different depth very close to each instrumented profile in order to explain the volumes extracted by each sampler. We present here the experimental methodology and first results obtained with simulated runoff events.