Evaluation and Prediction of Water Quality in Haihe River Basin

LI Yan-nan; SUN Bao-sheng; ZHANG Yan

doi:10.13961/j.cnki.stbctb.2014.02.038

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Evaluation and Prediction of Water Quality in Haihe River Basin

- Evaluation and Prediction of Water Quality in Haihe River Basin
- Bulletin of Soiland Water Conservation Vol. 33, Issue 2, Pages: 177-181(2014)
- 作者机构：
  
  天津大学环境科学与工程学院,天津,300072
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2014.02.038
  CLC：
- Published：2014
- 稿件说明：
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LI Yan-nan, SUN Bao-sheng, ZHANG Yan. Evaluation and Prediction of Water Quality in Haihe River Basin[J]. Bulletin of Soiland Water Conservation, 2014, 33(2): 177-181.
DOI：

LI Yan-nan, SUN Bao-sheng, ZHANG Yan. Evaluation and Prediction of Water Quality in Haihe River Basin[J]. Bulletin of Soiland Water Conservation, 2014, 33(2): 177-181. DOI： 10.13961/j.cnki.stbctb.2014.02.038.

摘要

以海河流域为例

选择灰色关联分析法对其水质进行了评价。由于传统的灰色关联分析存在一定缺陷

故选择两种改进的灰色关联分析法进行水质评价

并比较了这两种方法的优缺点。采用对应分析法

将采样点与变量有机地结合起来进行了分析。最后使用灰色预测模型对海河流域水质情况进行了预测。结果表明:(1)将基于改进AHP法权重的灰色关联分析法与对应分析法联用可以全面认识流域水质状况

给出科学合理的评价结果; (2)海河流域污染来源主要为农业面源污染与生活污水污染。

Abstract

This paper used gray correlation analysis method to evaluate the water quality of Haihe River basin. However

the traditional grey correlation analysis has drawbacks due to subjectivity in calculating relatedness. To overcome this defect

this paper chosen two kinds of improved gray correlation analysis methods for the water quality evaluation

and compared the advantages and disadvantages of the two methods. The combined application of improved gray correlation analysis method and correspondence analysis method can reach to scientific and reasonable evaluation conclusions.Meanwhile

this paper predicted water quality using grey prediction model. The results showed that: (1) Combination of the improved AHP weights of gray relational analysis and correspondence analysis can provide a nice way to understand basin water quality and reach to a rational evaluation result; (2) The main sources of pollution in the Haihe River basin is agricultural non-point source pollution and sewage pollution.

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references

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