Study on rules and its prediction of heavy metal pollution in tailings pond effluent

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 characteristics. The results show that: the concentration of heavy metal ions is correlated to time. And such kind of correlation can be expressed with power function and predicted precisely in neural network.