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作 者:董颖 李兢 武宏梅 吴喜军 贾桂霞 Dong Ying;Li Jing;Wu Hongmei;Wu Xijun;Jia Guixia(School of Civil Engineering,Yulin University,Yulin 719000,China;Yulin Hydrology and Water Resources Survey Bureau of Yellow River Conservancy Commission,Yulin 719000,China;Yulin High-tech Industrial Park,Yulin 719000,China)
机构地区:[1]榆林学院建筑工程学院,陕西榆林719000 [2]黄河水利委员会榆林水文水资源勘测局,陕西榆林719000 [3]榆林高新区供排水有限责任公司,陕西榆林719000
出 处:《环境科学与管理》2019年第10期175-179,共5页Environmental Science and Management
基 金:国家自然科学基金资助项目(No.51969031);陕西省教育厅科技项目(No.18JK0905);榆林市水资源保护与高效利用重点实验室(No.50502);榆林学院博士科研启动基金项目(No.16GK07)
摘 要:以黄河干流6个监测断面2015年监测数据为基础,选取溶解氧、高锰酸盐指数和氨氮为评价指标,分别采用基于最大隶属度和级别特征值原则的灰色聚类法来评价水质级别,并将评价结果与单因子评价法相比较。结果显示:(1)3种方法评价的黄河干流6个监测断面水质均为Ⅰ类和Ⅱ类,整体水质状况较好。(2)仅有基于级别特征值的灰色聚类法可显示出黄河干流水质由好到差的顺序依次为:济南泺口、济源小浪底、忻州万家寨水库、兰州新城桥、石嘴山麻黄沟、包头画匠营子。(3)当各种方法评价结果为同一级别时,可以通过灰色聚类法比较级别特征值的大小区分水质状况的优劣,是一种科学合理的水质评价方法。Based on the 2015 monitoring data of six sections in Yellow River,this study selected the dissolved oxygen,permanganate index and ammonia-nitrogen as evaluation indexes,took the grey clustering method based on principle of maximum membership and level eigenvalue to evaluate the water quality respectively,and compared with the single factor method.The results showed that(1)the water quality of the Yellow River mainstream six monitoring sections,which were evaluated by the three methods,are Class I and Class II,so the water quality was relatively good.(2)Only grey clustering method that based on Level Eigenvalue can show the six monitoring sections water quality from good to bad were:Jinan Yukou,Jiyuan Xiaolangdi,Zhangzhou Wanjiazhai Reservoir,Lanzhou Xinchengqiao,Shizuishan Ephedra,Baotou Painter Yingzi.(3)When the evaluation results of various methods are the same level,the Gray Clustering method can be used to distinguish the water quality by comparing the Level Eigenvalue,it is a scientific and reasonable water quality evaluation method.
分 类 号:X824[环境科学与工程—环境工程]
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