摘要
采集沙河水库、马坊、鲁疃闸和辛堡闸等4个监测断面的溶解氧DO、氨氮NH3-N、化学需氧量COD等3个监测指标的数据,结合变异系数法和非决策性模糊集理论确定指标权重,并采用属性识别理论中的灰色接近度来计算监测指标数值与理想监测数值(水质标准)的灰色接近度,通过灰色接近度评价温榆河的水质。结果显示,温榆河各断面水质Ⅴ类情况居多,偶尔出现Ⅳ类水情况。
In this study,we collected data of three monitoring index,i.e.,dissolved oxygen(DO),ammonia nitrogen(HN3-N),chemical oxygen demand(COD),in four main monitoring sections of Wenyu river.We determined the index weight by combining with the method of variation coefficient and the Nondecision Fuzzy Set Theory,and calculated the gray proximity of index value relative to the idealmonitoring data(water standard)by using the grey proximity of Attribute Recognition Theory,therebyevaluating the Wenyu river water quality through the gray proximity.The results showed that the classⅤof water quality occurred most in Wenyu river,while the classⅣoccasionally did.
作者
蔡常鑫
门宝辉
刘灿均
CAI Changxin;MEN Baohui;LIU Canjun(North China Electric Power University, Beijing 102206, China)
出处
《北京水务》
2019年第3期26-30,共5页
Beijing Water
基金
华北电力大学大学生创新创业项目(2016YFC0401406):温榆河水环境指标分析及水质改性方法调查研究
关键词
属性识别
灰色接近度
温榆河
Attribute Recognition Method
grey proximity
Wenyu river
