院报 ›› 2016, Vol. 33 ›› Issue (5): 6-10.DOI: 10.11988/ckyyb.20150157

• 水资源与环境 • 上一篇    下一篇

基于优化集对分析模型的水质综合评价方法

黄瑞1,2, 张防修1   

  1. 1.河海大学 环境科学学院,南京 210000;
    2.扬州市职业大学 资源与环境工程学院,江苏 扬州 225000
  • 收稿日期:2014-03-05 出版日期:2016-05-01 发布日期:2016-05-10
  • 作者简介:黄 瑞(1980-),男,江苏南通人,副教授,博士,主要从事水环境保护研究, (电话)13773521819(电子信箱)1546028308@qq.com。
  • 基金资助:
    水利部公益性行业科研专项(201101031)

Method of Comprehensively Evaluating Water Quality Based on Optimal Set Pair Analysis

HUANG Rui1,2, ZHANG Fang-xiu1   

  1. 1.College of Environmental Science, Hohai University, Nanjing 210000, China;
    2.College of Resources and Environmental Engineering, Yangzhou Polytechnic College, Yangzhou 225000, China
  • Received:2014-03-05 Online:2016-05-01 Published:2016-05-10

摘要: 针对标准集对分析存在同异反评语细化问题,对传统模型进行改进。在水质权重确定过程中,因单一采用主观确权法或客观确权法均存在缺陷,提出综合确定权值的思路。选用改进后的AHP法主观确权和熵权系数法客观确权,然后依据最小鉴别信息原理进行综合确权,提高了权重确定的科学性。将新方法运用在大伙房水库水质评价中,将评价结果与基于模糊评价法、BP神经网络法的评价结果进行比较。结果表明新方法能更贴近实际,反映水质特征,具有良好的应用前景。

关键词: 水质评价, 集对分析, 组合权重, AHP法, 大伙房水库

Abstract: This paper proposed an improved set pair analysis model to solve the problem of subtle differentiation between uniform. In view of the defects of using subjective analysis separately, or objective analysis alone, we put forward a new idea of comprehensively determine the weight coefficients. Weight coefficients are calculated by the aid of optimized analytic hierarchy process for subjective weights and entropic coefficients method for objective weights, and then the objective weights and subjective ones are combined according to the minimum discrimination information principle, which improves the veracity of the weight. This method was used to evaluate the water quality of the Dahuofang reservoir, and the result is compared with those from fuzzy set method and BP neural network method. The results show that the new method has good application prospect as it reflects the actual situation and water quality much better.

Key words: water quality assessment, set pair analysis, combinational weight, AHP, Dahuofang Reservoir

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