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机构地区:[1]吉林大学环境与资源学院,吉林长春130026
出 处:《环境科学与技术》2008年第1期113-115,共3页Environmental Science & Technology
基 金:国家自然科学基金资助项目(40672157)
摘 要:应用判别分析方法对饮马河流域4个断面的水质进行了判别归类。经过变量的引入和剔除,依次选入溶解氧、硝酸盐、总磷、化学需氧量、高锰酸盐指数、氯离子6种因子为主要评价因子,并建立了地表水水质评价的数学模型,其判别函数可以成功地对地表水的水质进行判别。结果显示,饮马河和岔路河的水质较好,大部分属于II类水,少数为I类水;双阳河的水质较差,已达到V类水,少数为IV类水。研究表明,判别分析方法在水质评价中的应用具有一定的实际意义,筛选出的变量对判别水质有显著作用。Discriminant analysis method was used to differentiate and classify water quality of 4 cross sections in Yinma River basin. After the introduction and elimination of variables, dissolved oxygen, nitrate, total phosphorus, COD, potassium permanganate index and chloride were selected as 6 main assessment factors in turn. Numeric model for assessment of surface water quality was established, and its discriminant analysis function can be successfully used to differentiate surface water quality. Results showed that water quality of Yinma River and Chalu River was relatively good and satisfactory to Class Ⅰ and Ⅱ of water quality criteria while water quality of Shuangyang River was relatively poor. It is concluded that application of discriminant analysis method in water quality assessment has certain actual significance, and the selected variables have significant function for differentiating water quality.
分 类 号:X824[环境科学与工程—环境工程]
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