2003
DOI: 10.1029/2002wr001890
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Spatially resolved water content profiles from inverted time domain reflectometry signals

Abstract: [1] We present a method for extracting spatially resolved water content profiles q(x) from a two-wire time domain reflectometry (TDR) probe. The profile q(x) is represented in terms of the dielectric e r (x) and ohmic s(x) properties in the longitudinal direction of the TDR probe. We solve the inverse problem iteratively by combining a one-dimensional time domain solution of the transmission line equations and a genetic optimization method. The method is capable of finding the global optimum in a complicated e… Show more

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Cited by 34 publications
(55 citation statements)
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“…Ramo et al, 1984). Our approach for numerically modeling TDR probes is essentially based on Oswald et al (2003). A transmission line is described by capacitance C , conductance G , inductance L and resistance R , all per unit length, respectively.…”
Section: Methodsmentioning
confidence: 99%
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“…Ramo et al, 1984). Our approach for numerically modeling TDR probes is essentially based on Oswald et al (2003). A transmission line is described by capacitance C , conductance G , inductance L and resistance R , all per unit length, respectively.…”
Section: Methodsmentioning
confidence: 99%
“…With a variable water content θ (x) along the probe the parameters G and C vary accordingly; L is assumed to be constant, because the materials' magnetic permeability equals µ 0 ; resistance R , caused by skin effect, is neglected in the current study. For extracting dielectric and ohmic profiles from measured TDR traces we use an iterative, globally optimizing approach based on Oswald et al (2003) in order to solve the non-linear, inverse, electromagnetic problem. The global optimization method uses genetic algorithms (GA) from a publicly available library Levine (1996).…”
Section: Methodsmentioning
confidence: 99%
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