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引用本文:弓晓峰,陈春丽,赵晋,刘春英.鄱阳湖乐安河流域水质监测优化布点.湖泊科学,2006,18(5):545-549. DOI:10.18307/2006.0518
GONG Xiaofeng,CHEN Chunli,ZHAO Jin,LIU Chunying.Optimized points selection of the water quality monitoring in the Le'an River Basin of Lpke Poyang. J. Lake Sci.2006,18(5):545-549. DOI:10.18307/2006.0518
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鄱阳湖乐安河流域水质监测优化布点
弓晓峰1,2, 陈春丽2, 赵晋3, 刘春英4
1.南昌大学教育部鄱阳湖湖泊生态与生物资源利用实验室, 南昌330047;2.南昌大学环境科学与工程学院, 南昌330029;3.南昌有色冶金设计研究院, 南昌330002;4.江西财经大学环境与资源学院, 南昌330013
摘要:
采用鄱阳湖乐安河流域13个监测断面1995-2002年8年的污染指标的监测平均值作为原始数据,应用物元分析法对各监测断面进行优化.在确定最佳和最次理想点的基础上,建立标准物元矩阵和节域物元矩阵,并结合综合关联函数,选出优化点位.同时应用相关分析中的距离分析和K-均值聚类法确定各监测点所属类别.综合这三种优化结果,最终确定乐安河流域可以由传统的13个监测点位优化为9个监测点位.
关键词:  乐安河  优化布点  物元分析  相关分析  聚类法
DOI:10.18307/2006.0518
分类号:
基金项目:教育部科学技术研究重点项目(204076);江西省教育厅科学技术项目联合资助
Optimized points selection of the water quality monitoring in the Le'an River Basin of Lpke Poyang
GONG Xiaofeng1,2, CHEN Chunli2, ZHAO Jin3, LIU Chunying4
1.Key Laboratory of Lake Poyang Ecology and Bio-resource Utilization of MOE, Nanchang University, Nanchang 330047, P. R. China;2.School of Environmental Science and Engineering of Nanchang University, Nanchang 330029, P. R. China;3.Nanchang Engineering and Reserch institute of Nonferrous Metals, Nanchang 330002, P. R. China;4.School of Environmental and Resource of Jiangxi Financial University, Nanchang 330013, P. R. China
Abstract:
The matter element analysis has been used to optimize points selection of water quality monitoring in the Lekn River basin of Lake Poyang, taking the average monitoring data in 8 years which is from 1995 to 2002 as the original data. Matter element matrix of standard and partial unit can be established on condition that optimum and second optimum points are chosen, connected with integrative and correlative function, the optimized points are chosen. Meanwhile, the distances methpd which is belonged to the correlation and the Means Cluster process are used to the classification of monitoring points. Integrating three methods above, the 13 traditional monitoring points in the Le, an River basin of Lake Poyang can be optimized to 9 monitoring sites.
Key words:  Le’an River  optimized points selection  matter element analysis  correlation  AT-Means Cluster
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