| This paper mainly focused on the detection of chromium-contaminated sites based on complexresistivity method. According to the large number of experiments of chromium-contaminated soilcomplex resistivity, we made a conclusion that complex resistivity spectrum fits for the Cole-Colemodel. On the basis of in-depth analysis on characteristics of the Cole-Cole model complexresistivity spectrum and the equivalent of measurements in frequency and time domain, a newdetection technology jointed frequency and time domain for complex resistivity method wasproposed which overcomes the uncertainty in the inversion. Based on Bayesian inversion algorithm,a inversion method jointed frequency and domain data for Cole-Cole complex resistivity modelparameters was proposed. Based on the Archie’s empirical formula and electrochemical theory, theexpression relationship between the DC resistivity and soil physical parameters was obtained.According to the Poisson’s equation and the theory of the double-electric layer, the expressionrelationship between the Cole-Cole model parameters and soil physical parameters was gotten. Fora specific soil chromium-contaminated site, the coefficient of the expression relating the Cole-Colemodel parameters and soil physical parameters was fitted by the method of least squares inversion,and the chromium content and moisture content of chromium-contaminated soil were obtained byNewton’s iterative method.A simulated chromium-pollution site was established, and themeasurement data were inversed and interpreted. The results show that the complex resistivitymethod jointed time and frequency domain can zone the distribution of chromium content andmoisture content in chromium-contaminated sites commendably. It filled the domestic blank in thisfield and met the urgent demand for rapid detection of chromium-contamination sites. |