In the paper, some problems of using conventional inversion methods in geoenvironmental exploration are studied. The series expansion based inversion procedure is presented as a joint inversion method that performs reliable parameter estimation by decreasing efficiently the number of unknowns of the inverse problem. Quality improvement in parameter space is demonstrated by applying the series expansion based 1.5D and 2D CGI (Combined Geoelectric Inversion) inversion methods on DC geoelectrical data. The CGI inversion method was further developed by weighting individual data sets in order to improve inversion results. It is shown that the series expansion based inversion technique is able to resolve near-surface structures such as rapidly varying layer boundaries, laterally inhomogeneous formations and pinch-outs.


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