基于BP神经网络和模糊聚类分析的露天煤矿地下水质量评价  

Evaluation of groundwater quality in open coal mine based on BP neural network and fuzzy clustering analysis

作　　者：王锦力[1] 

机构地区：[1]辽宁工程技术大学建筑工程学院,辽宁阜新123000

出　　处：《水资源与水工程学报》2013年第3期138-141,共4页Journal of Water Resources and Water Engineering

基　　金：辽宁省教育厅科研项目(L2012111);中国煤炭工业协会科学技术研究指导性计划项目(MTKJ2012-319)

摘　　要：针对阜新新邱露天煤矿排土场淋溶水对附近于家沟地区地下水环境质量的影响所存在的问题,对研究区内的17眼水井分别采样,进行水质分析,采用模糊聚类分析方法对影响区地下水质量进行了评价,再利用BP神经网络对数据进行训练的和预测,研究了隐层节点对预测精度的影响,根据研究结论可确定出该区域地下水污染范围,具有一定的工程应用参考价值。Aimed at the problems of influence of Fuxin Xinqiu surface mine dump leaching water on groundwater environmental quality near Yujiagou, 17 wells in the study area were sampled for water quali- ty analysis. Fuzzy clustering analysis method was used to evaluate the groundwater quality of the area. Then BP neural network was used to train accuracy was also studied. The conclusion and forecast. The influence of hidden layer node on prediction can determine the scope of groundwater pollution in the regionand has a certain reference value of engineering application.

关 键 词：模糊聚类分析 环境质量评价 地下水 BP神经网络 

分 类 号：X523[环境科学与工程—环境工程]