矿区地下水质量评价及预测  

Groundwater quality evaluation and prediction in a mining area

作　　者：苗鑫淼[1] 王飞[2] 公亮[1] 

机构地区：[1]中国矿业大学资源学院,江苏省徐州市221116 [2]四川省地质工程勘察院,四川省成都市610000

出　　处：《中国煤炭》2015年第2期120-123,共4页China Coal

基　　金：国家重点基础研究发展规划(973计划)资助项目(2013CB227901)

摘　　要：为了保证矿区合理、安全利用地下水资源,科学选取水源井位置,实验选取西部某矿区21个水样点,分别利用模糊模式识别法、熵权模糊综合评判法等方法,对矿区地下水水质等级进行了评价,并预测了矿区水质演化趋势。结果表明,模糊模式识别法对矿区地下水水质的评价更为合理,其评价结果为今后矿区水源井位置的选取提供了参考和依据。In order to ensure reasonable and safe using groundwater resources, and ensure scientificselecting the location of water well, the authors selected western mining area 21 water samples and as-sessed the mining area groundwater quality level by using fuzzy pattern recognition method and entropyfuzzy comprehensive review method, and then predicted the evolutionary trend of coal mine water quali-ty. The results showed that the fuzzy pattern recognition method was more reasonable, and it provided areference and basis for the selection of water well location in the future.

关 键 词：模糊模式识别模型 相对隶属度 地下水质量 水质演化预测 

分 类 号：TD-993[矿业工程]