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along TDR probes, corresponding with a scale of cubic centimeters (10 6 m with the shuffled complex evolution Metropolis algorithm (SCEM- is relatively simple to implement and can be used for UA). This combined approach allows for the estimation of the 40 parameters in the transmission line model using a series of simple all known TDR probes (Heimovaara and Bouten, 1990; calibrationmeasurements.Theproofofconceptisgivenwithmeasure- Baker and Allmaras, 1990; Jones et al., 2002; Robinson ments in a layered system consisting of air and water. Finally, TDR et al., 2003). However, in the presence of layered soils waveforms from layered soil samples were analyzed to estimate the and porous media with a relatively high electrical con- distributionof thewater contentalong thelength ofthe probe.Results ductivity, the method exhibits difficulties with the cor- show that the proposed method provides much more reproducible rect interpretation of the waveforms, often leading to results than obtained with the traditional travel time method. Because erroneous water content estimates (i.e., Schaap et al., the proposed method can be fully automated, it increases the applica- 2003). Coating the wave-guides with an insulating mate- bility of the TDR method, especially in applications where detailed rial can solve some of the problems related to high (real-time) data are required on heterogeneous infiltration. electrical conductivity (Ferreet al., 1996). Nevertheless, the intrinsic uncertainty of this method requires a sub- stantial commitment of human resources to find and K

Obtaining the Spatial Distribution of Water Content along a TDR Probe Using the SCEM-UA Bayesian Inverse Modeling Scheme