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1RBF在露天矿矿区地下水水质的评价与预测

     

摘要

This paper is to Solving environmental problems of Mining water pollution,Mainly applies RBF artificial neural network to assessing and predicting the ground water quality of Haizhou open-cut mining in Fuxin.The matlab software support are Use,the network models are built,the normalized standard matrix was taken as training sample,Then,training the established network and using the monitoring data as test samples to obtain the evaluation result.By result,the ground water of this mining was seriously polluted,class of its pollution is Ⅳ-Ⅴ,and the main factor is inorganic salt.The prediction result shows that with the growing years,ground water pollution is becoming more and more heavier.%矿山开采造成水污染是矿山普遍存在的环境问题,论文对阜新露天矿矿区地下水水质进行了评价与预测。首先构建了网络模型,以归一化后的标准矩阵为训练样本,利用matlab软件辅助,进行网络训练,最后把实测数据作为测试样本输入对矿区地下水进行评价与预测,评价结果表明:由该矿区地下水的污染较为严重,总体为Ⅳ~Ⅴ类水质,主要污染因子为无机盐类。预测结果表明,随着年限的增加,该区地下水的污染情况会越来越重。

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