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综合水质标识指数法在青山湖水质评价中的应用
引用本文:谷建强,张文,朱凡,陈峰,苏光云,祁亨年.综合水质标识指数法在青山湖水质评价中的应用[J].浙江农林大学学报,2016,33(5):890-898.
作者姓名:谷建强  张文  朱凡  陈峰  苏光云  祁亨年
作者单位:1.浙江农林大学 浙江省林业智能监测与信息技术研究重点实验室, 浙江 临安 3113002.浙江省临安市环境监测站, 浙江 临安 3113003.浙江省临安市教育局, 浙江 临安 3113004.湖州师范学院 信息工程学院, 浙江 湖州 313000
基金项目:浙江省自然科学基金资助项目Y14C130046浙江农林大学科研发展基金人才启动基金资助项目2013FR035浙江省临安市环境保护局资助项目2014-2
摘    要:浙江省临安市青山湖主要用于旅游业、农业灌溉及饮用水源等多种用途,而周边旅游业、工业等方面的发展可能使得它存在受污染的风险,通过水质评价来了解青山湖水环境质量状况具有重要的意义。以2009-2013年临安市青山湖水质采样数据为基础,采用传统的综合水质标识指数法对青山湖水质进行综合评价,并结合3种赋权法对指标权重进一步优化处理,通过污染成因分析初步得出各支流对青山湖水库水质污染贡献情况。结果表明:青山湖化学需氧量、氨氮的单因子水质标识指数平均达到Ⅱ类水质标准,符合青山湖水质功能区划分等级要求;总氮、总磷、叶绿素a的单因子水质标识指数平均大于Ⅲ类水质,为主要污染物;基于主成分分析赋权的综合水质标识指数法和传统的综合水质标识指数法的计算结果一致,2009-2013年青山湖水质都达到Ⅳ类,且2009年青山湖水质最差,综合水质标示指数为4.331,2013年最好,为4.131,呈U型变化趋势;锦溪的总氮、叶绿素a污染贡献最高,南苕溪次之,灵溪的总磷污染贡献最高。

关 键 词:综合水质标识指数法    赋权    青山湖    水质评价
收稿时间:2015-10-10

WQI for water quality evaluation in Qingshan Lake
GU Jianqiang,ZHANG Wen,ZHU Fan,CHEN Feng,SU Guangyun,QI Hengnian.WQI for water quality evaluation in Qingshan Lake[J].Journal of Zhejiang A&F University,2016,33(5):890-898.
Authors:GU Jianqiang  ZHANG Wen  ZHU Fan  CHEN Feng  SU Guangyun  QI Hengnian
Institution:1.Zhejiang Provincial Key Laboratory of Forestry Intelligent Monitoring and Information Technology Research, Zhejiang A & F University, Lin'an 311300, Zhejiang, China2.Environmental Monitoring Station of Lin'an City, Lin'an 311300, Zhejiang, China3.Bureau of Education of Lin'an City, Lin'an 311300, Zhejiang, China4.School of Information Engineering, Huzhou University, Huzhou 313000, Zhejiang, China
Abstract:Qingshan Lake used mainly for tourism, agricultural irrigation, and drinking water and other purposes and development of tourism, industry may make the existence of the risks contamination. So this study was conducted to help understand the lake's water quality by using a water quality assessment. Based on sampled water quality data from Qingshan Lake in Lin'an from 2009 to 2013, water quality was evaluated using the water quality index method with a Principal Component Analysis along with a coefficient of variation for standard multiple weight and average weight. The water pollution contribution of each into the reservoir was obtained by analyzing the causes of pollution. Results showed that the single factor chemical oxygen demand index and NH3-N in Qingshan Lake reached level Ⅱ, in accordance with function grade of Qingshan Lake. Single factor labeling indexes revealed that total phosphorus, total nitrogen, and chlorophyll-a were the main pollutant. The comprehensive water quality identification index method based on the principal component analysis and the average weight, confirmed these results. From 2009 to 2013 the lake's water quality reached level Ⅳ. The maximum WQI was 4.331 in 2009, and the minimum was 4.131 in 2013 with a U-shaped pattern. The pollution contribution from the Jinxi Stream was highest for TN and Chl-a. The South Tiaoxi Stream took the second place. The pollution contribution from Linxi Stream was highest for TP. These results will help provide a scientific basis for management and protection of Qingshan Lake.
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