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萍水河水质监测点的优化
引用本文:郭效琛,杜鹏飞,赵冬泉,马洪涛.萍水河水质监测点的优化[J].中国环境监测,2018,34(1):86-92.
作者姓名:郭效琛  杜鹏飞  赵冬泉  马洪涛
作者单位:清华大学环境学院, 北京 100084,清华大学环境学院, 北京 100084,清控人居环境研究院有限公司, 北京 100083,清控人居环境研究院有限公司, 北京 100083
基金项目:国家水体污染控制与治理科技重大专项(2012ZX07302002)
摘    要:城市内河流水质监测点位的优化,是全面掌握河流水质状况的关键。文章采用贴近度法对萍乡市萍水河2005—2015年水质及监测点位变化进行分析评价,并提出优化建议。根据萍水河水质污染特征,选择化学需氧量、五日生化需氧量、氨氮、总磷、总氮和高锰酸钾盐指数作为评价指标,结果表明:2005—2015年,萍水河水环境质量整体情况较好,但在2010年后呈下降趋势;监测点布设方案的调整有一定合理性,也有欠妥之处;对目前监测点位进行删减,得到了水质优化监测布点方案。

关 键 词:贴近度法  水环境质量评价  监测点布设  萍水河
收稿时间:2016/7/4 0:00:00
修稿时间:2016/12/12 0:00:00

Study on the Optimization of Monitoring Spots in the Pingshui River
GUO Xiaochen,DU Pengfei,ZHAO Dongquan and MA Hongtao.Study on the Optimization of Monitoring Spots in the Pingshui River[J].Environmental Monitoring in China,2018,34(1):86-92.
Authors:GUO Xiaochen  DU Pengfei  ZHAO Dongquan and MA Hongtao
Institution:Department of Environment, Tsinghua University, Beijing 100084, China,Department of Environment, Tsinghua University, Beijing 100084, China,Tsinghua Holdings Human Settlements Environment Institute, Beijing 100083, China and Tsinghua Holdings Human Settlements Environment Institute, Beijing 100083, China
Abstract:The optimization of monitoring spots for river inside the city is an important point to fully learn about the water quality situation of the river. Similarity method was used to evaluate water quality and optimize the monitoring spots in the Pingshui River, Pingxiang City, from 2005 to 2015. According to water pollution characteristics of the Pingshui River, COD, BOD, NH3-N, TP, TN and OC were chosen as the evaluation indicators. The results showed that the water quality generally was great, but had a certain drop since 2010. The adjustment of layout scheme is reasonable in some ways, but there are also some loopholes. The existing water quality monitoring spots are laid out unreasonably, and a scheme to optimize selection of water quality monitoring is obtained.
Keywords:similarity method  water environment quality evaluation  layout of monitoring spot  the Pingshui River
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