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文章摘要
BP人工神经网络模型在西鞍山铁矿地下水水质评价中的应用
Application of BP Artificial Neural Network Model in Groundwater Quality Evaluation of West Anshan Iron Mine
  
DOI:
中文关键词: 人工神经网络  地下水  水质评价  西鞍山铁矿
英文关键词: Artificial neural network  Groundwater  Water quality assessment  West Anshan Iron Mine
基金项目:国家自然科学基金资助项目(41072190);环保公益性行业科研重大专项基金资助项目(201009009)
作者单位
岳丹丹 沈阳建筑大学市政与环境工程学院 
梁海涛 沈阳建筑大学市政与环境工程学院 
王天慧 沈阳建筑大学市政与环境工程学院 
徐韬 沈阳建筑大学市政与环境工程学院 
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中文摘要:
      以西鞍山铁矿为例,采用BP人工神经网络模型对区内12个监测点的水质进行评价。以枯水期水质监测的主成分总硬度、溶解性总固体、硫酸盐、氯化物、铁和锰、硝酸盐、氟化物指标作为评价因子,建立地下水评价指标体系,并将评价结果与模糊综合评价法及综合质量评价法的评价结果比较。结果表明,8、9、10、11号监测点属于Ⅰ类水,1、2、3、4、6、7、12号监测点属于Ⅱ类水,5号监测点属于Ⅲ类水,西鞍山铁矿的开采未对地下水造成影响;该方法与模糊综合评价法及综合质量评价法的评价结果基本一致,可以客观、合理性地评价水质。
英文摘要:
      Taking West Anshan Iron Mine for example,the BP artificial neural network model was used to evaluate the water quality of 12 monitoring points in the area. The established model took principal components such as total hardness, dissolved total solids, sulfate, chloride, iron and manganese, nitrate, and fluoride as evaluation factors. Comparing with the evaluation results by fuzzy comprehensive evaluation method and comprehensive quality evaluation method, results showed that the water quality in site No.8, 9, 10 and 11 were up to standard of class Ⅰ, in site No.1, 2, 3, 4, 6, 7 and 12, up to class Ⅱ, and site No.5, class Ⅲ, indicating the West Anshan Iron Mine had no impacts on the groundwater quality. The results evaluated by the established method were in accordance with the results by the two methods mentioned above. Therefore, objective and reasonable evaluation results can be made by the established method.
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