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On the basis of the heavy metal pollution datum tested in 162 months uninterruptedly of a tailings pond effluent, this paper studied the rules of heavy metal pollution by applying mathematic statistics method. And the artificial neural network based on the improved BP algorithm is applied to predict the heavy metal ions' concentration of tailings pond effluent so as to further disclose the pollution...
Heavy metal pollution in mining areas possesses the character of grey system, so grey model GM (1, 1) can be used to predict heavy metal pollution. On the basis of heavy metal monitoring data in a certain sulfide mining area from 2006 to 2008, prediction models of copper (Cu), manganese (Mn) and lead (Pb) in mining areas have been built with grey model GM (1, 1) to predict heavy metal pollution contents...
Studies of heavy metal pollution in mining areas mainly focus on non-dynamic and investigative aspects, but the forecasting of heavy metal migration and conversion is seldom considered in the contexts of both time structure and space structure. In this paper, with the concept of rescaled-range (R/S) analysis of fractal theory, the data of heavy metal copper (Cu) pollution in a certain iron sulfide...
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