Parametric Inversion on Complex Resistivity Mathematic Model of Chrome-Contaminated Soil

In order to promote the application of the complex resistivity detection method in the field of chrome-contaminated soil detection,a soil complex resistivity model should be established,which involves the adoption of a suitable model and its parametric inversion.The Optimization Toolbox of Matlab,including the least-squares curve-fitting method based on Trust-Region methods,provides a more convenient way for the actual application of optimization.Based on data obtained from a great deal of tests,the parameters of ColeCole Model were inverted by Trust-Region methods combined with constraint parameters.The results show that precise complex resistivity parameters can be obtained with the least-squares curve-fitting method based on Trust-Region methods under the condition that the initial value is provided precisely.Compared with union inversion of amplitude and phase,similar results can be obtained with the single inversion of amplitude or phase.