Correlative and Regressive Methods for Mapping of Metallurgical Production Wastes

Mapping of metal dispersion in soils near industrial enterprises and other areas is a labour-consuming and expensive process especially for rare and dispersed elements. In the case of the approximate semi-quantative estimation of precious metals, correlative and regressive method are suitable. During the last decade it was successfully applied to test ore deposits for concomitant metals presence. On the basis of archive and current data of the metallurgical plant by the coefficient correlation (r− coefficient. −ratio) the dependence between the content of non-ferrous metals and that of precious metals was found with the next coming creation of the banks of regressive equations of the g/ton BM = f (%uM) type. These equations were checked by the Student's criterion; many massifs of analytic chemical information give formulas of rather high reliability though functional dependence is often absent. Banks of regressive equations were tested on synthetic samples. Direct analytical monitoring showed 5% Ni and 25 g/ton Pd content in the sample. Reliability of the regressive equation: Pd = 4 * % Ni was checked which showed the result within the analytic palladium detection of ± 10% Regressive formulas appear to be the only proper method for mapping of wastes and fields of dispersion of chemical elements when a researcher has no multichannel analyser for quick operation.