摘要
以夷陵矿区地表水为例,选取总磷、化学耗氧量、硫化物、氯化物和矿化度五个指标,运用灰色聚类法对夷陵矿区地表水水质进行综合评价。结果表明肖家河和店子河的水质等级为Ⅰ型,西岔河的水质等级为Ⅱ型。通过对比夷陵矿区地表水质评价结果和矿区地表水实际情况,运用灰色聚类法所得到的水质评价结果与矿区地表水实际情况相吻合。通过实例分析发现灰色聚类法的评价结果综合了所有参数对水质的影响,而且考虑了系统的灰色性和白化程度以及各污染因子的综合影响而进行聚类加权,其权重的确定方法比较合理,客观。
On the basis of the basic principles of gray clustering method,taking the Yiling mine surface water for example,five indicators of TP,COD,sulfide,chloride and salinity are selected and the Yiling mine surface water quality are comprehensively evaluated by using gray clustering method,and finally get the result that the water quality in Xiaojiahe and Dianzihe is class I type and water quality in Xichahe is classⅡtype.By contrast the evaluation results of the surface water quality in Yiling mining and the actual situation of surface water in mining areas,the results showed that the results of the water quality evaluation obtained by using gray clustering method is coincide with the actual situation of surface water in mining areas.Through the instance analysis,we found that the evaluation result of gray clustering method combined the influence of all parameters on water quality,but also considered the extent of gray and whitening system as well as the combined effects of various pollutants and cluster weights,the weight method for determining reasonable and objective.
出处
《衡阳师范学院学报》
2016年第3期63-66,共4页
Journal of Hengyang Normal University
基金
北京市自然科学基金项目(4142015)
关键词
灰色聚类法
模糊综合评价法
地表水
水质评价
grey clustering method
fuzzy comprehensive assessment method
water of surface
water quality assessment
