改进的模糊综合评价法对洺关水质的评价研究
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摘要
为了探明洺关试验场的水质状况,针对河北工程大学洺关试验场水质污染情况,以2016年10、11月份洺关试验场8个监测点位的水质监测资料为基础数据,选取总氮、总磷、溶解氧、化学需氧量等6个指标,采用改进模糊综合评价法,结合MATLAB编程对该研究区域水质进行评价。评价结果显示,Ⅰ类水占评价总体的4%,Ⅱ类水占评价总体的14%,Ⅲ类水占评价总体的20%,Ⅳ类水占评价总体的59%,Ⅴ类水占评价总体的3%。评价结果与水体实际情况相符,为河北工程大学洺关试验场水质评价工作提供理论参考。
The fuzzy comprehensive evaluation method is widely used in the evaluation of water quality. And it can commendably reflect the fuzzy characteristics of the water. In this paper,we improve the traditional fuzzy comprehensive evaluation method in two aspects,the weight assignment and fuzzy evaluation. for the water quality pollution test in the Mingguan laboratory in the university of engineering in Hebei,we select six indexes,such as total nitrogen,total phosphorus,dissolved oxygen,chemical oxygen demand and etc,and evaluated the water quality by using the improved fuzzy comprehensive evaluation method combining to MATLAB programming,based on the water quality monitoring data of 8 monitoring sites monitored at October and September in 2016. The evaluation results showed that Class Ⅰ water accounts for 4% of the total,Class Ⅱ water accounted for14% of the total,Class Ⅲ water accounts for 20% of the total,the Ⅳ water accounted for 59% of the total and Class Ⅴ water accounted for 3% of the total. It is corresponds to the actual situation of the water body. And it can provide theoretical reference to the water quality pollution test in the Mingguan laboratory in the university of engineering in HeBei.
The fuzzy comprehensive evaluation method is widely used in the evaluation of water quality. And it can commendably reflect the fuzzy characteristics of the water. In this paper,we improve the traditional fuzzy comprehensive evaluation method in two aspects,the weight assignment and fuzzy evaluation. for the water quality pollution test in the Mingguan laboratory in the university of engineering in Hebei,we select six indexes,such as total nitrogen,total phosphorus,dissolved oxygen,chemical oxygen demand and etc,and evaluated the water quality by using the improved fuzzy comprehensive evaluation method combining to MATLAB programming,based on the water quality monitoring data of 8 monitoring sites monitored at October and September in 2016. The evaluation results showed that Class Ⅰ water accounts for 4% of the total,Class Ⅱ water accounted for14% of the total,Class Ⅲ water accounts for 20% of the total,the Ⅳ water accounted for 59% of the total and Class Ⅴ water accounted for 3% of the total. It is corresponds to the actual situation of the water body. And it can provide theoretical reference to the water quality pollution test in the Mingguan laboratory in the university of engineering in HeBei.
引文
[1]王维,纪枚,苏亚楠.水质评价研究进展及水质评价方法综述[J].科技情报开发与经济,2012(13):129-131.
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[5]卢文喜,李迪,张蕾,等.基于层次分析法的模糊综合评价在水质评价中的应用[J].节水灌溉,2011(3):43-46.
[6]王涛,魏亚妮,钱会.权重对水质模糊综合评价的影响[J].南水北调与水利科技,2010(2):87-90.
[7]杨静.改进的模糊综合评价法在水质评价中的应用[D].重庆:重庆大学,2014.
[2]刘菲菲,赵方乐.地下水水质评价方法的综述[J].绿色科技,2013(6):204-207.
[3]单利平,田卫,魏强.模糊综合评判方法在查干湖水质评价中的应用[J].湿地科学,2015(1):124-128.
[4]席文娟,金婧,钱会.改进模糊综合评价法在水质评价中的应用[J].水资源与水工程学报,2012(3):25-29.
[5]卢文喜,李迪,张蕾,等.基于层次分析法的模糊综合评价在水质评价中的应用[J].节水灌溉,2011(3):43-46.
[6]王涛,魏亚妮,钱会.权重对水质模糊综合评价的影响[J].南水北调与水利科技,2010(2):87-90.
[7]杨静.改进的模糊综合评价法在水质评价中的应用[D].重庆:重庆大学,2014.