Message Board

Respected readers, authors and reviewers, you can add comments to this page on any questions about the contribution, review, editing and publication of this journal. We will give you an answer as soon as possible. Thank you for your support!

Full name
E-mail
Phone number
Title
Message
Verification Code
ZHANG Ying, FU Dongyang, PAN Delu, WANG Difeng, LIU Dazhao, DING Youzhuan. The application of a stepwise discriminant analysis method in a marine water quality evaluation[J]. Haiyang Xuebao, 2013, 35(6): 204-209.
Citation: ZHANG Ying, FU Dongyang, PAN Delu, WANG Difeng, LIU Dazhao, DING Youzhuan. The application of a stepwise discriminant analysis method in a marine water quality evaluation[J]. Haiyang Xuebao, 2013, 35(6): 204-209.

The application of a stepwise discriminant analysis method in a marine water quality evaluation

  • Received Date: 2011-05-20
  • To evaluate the marine water quality of West Guangdong Prcvince, China, an assumptive random sample comprising 400 stations (at each station there are 13 water quality indicators) is established according to the National Water Quality Standards (GB 3097-1997).The 13 indexes are filtered with a stepwise discriminant analysis method in terms of their water quality discriminant ability. Five indicators with distinguishing discriminant ability are picked out. They are a chemical oxygen demand, oil, cadmium content, total phosphorus and total nitrogen. A discriminant function and a water quality classification plate are thereafter established with these five indicators. The method avoides introducing too many indicators to have adverse impact on the water quality evaluation model. The above water quality classification plate is applied to evaluating the marine water quality of 40 stations in West Guangdong Province in 2010. Compared with the result provided by Zhanjiang Oceanic and Fishery Environmental Monitoring Station, it is found that the matching rate of 40 stations in this area is 95%. It indicates that the plate has a good application effect. It can be used as an effective way to evaluate the marine water quality by using multi-indicators.
  • loading
  • Jacobs H L. Water quality criteria[J]. Joumal of Water Pollution Control Federation, 1965, 37 (5) : 292-300.
    刘翠梅, 温伟英, 何清溪.琼州海峡海洋环境现状调查与评价[J].海洋环境科学, 2002, 21 (4) :24-28.
    张秋丰, 张建乐, 丁家坤.洋河口海域海洋环境质量现状评价[J].海洋环境科学, 1997, 16 (4) :38-42.
    宋伦, 周遵春, 王年斌, 等.辽宁省近岸海洋环境质量状况与趋势评价[J].水产科学, 2007, 26 (11) :613-618.
    徐鸿楷.半集均方差水质评价模式[J].环境科学, 1985, 6 (4) :55-57.
    Walski T M, Parker F L. Consumers water quality index[J]. Journal of Environmental Engineering Division, 1974 (EE3) :593-601.
    申葆诚, 徐国义.希尔伯空间理论在环境污染综合评价中的应[J].环境科学, 1981, 2 (4) :57-60.
    Shannon E E, Broezonik P L. Eutrophication analysis: amultivariate approach[J]. Journal of the Sanitary Engineering Division, 1972, 98 (SA1) :37-57.
    柯丽娜, 王权明, 周惠成.多目标可变模糊评价模型在海水水质评价中的应用[J]. 海洋通报, 2012, 31 (4) :475-480.
    张静, 孙省利.海水环境质量模糊-灰色关联评价及应用[J].广东海洋大学学报, 2011, 31 (6) :68-72.
    曹宇峰, 林春梅, 孙霞.模糊数学法在海洋水质评价中的应用[J].海洋技术, 2011, 30 (2) :118-122.
    付会, 孙英兰, 孙磊, 等.灰色关联分析法在海洋环境质量评价中的应用[J].海洋湖沼通报, 2007, 5 (3) :127-131.
    秦昌波, 郑丙辉, 秦延文, 等.渤海湾天津段海岸带水环境质量灰色关联度评价[J].环境科学研究, 2006, 19 (6) :94-99.
    蔡如钰.基于人工神经网络的夜光藻密度预测模型[J].中国环境监测, 2001, 17 (3) :52-55.
    高惠璇.应用多元统计分析[M].北京:北京大学出版社, 2005.
    孙尚拱 潘恩沛.实用判别分析[M].北京:科学出版社, 1990.
    孟凡奇, 李广杰, 李明, 等.逐步判别分析法在筛选泥石流评价因子中的应用[J]. 岩土力学, 2010, 31 (9) :2925-2929.
    国家环境保护总局. GB 3097-1997海水水质标准[S].北京:中国环境科学出版社, 1998.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Article views (1394) PDF downloads(1335) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return