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Fuzzy synthetic evaluation of water quality of Naoli River using parameter correlation analysis

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Abstract

In order to improve the effectiveness of Fuzzy Synthetic Evaluation (FSE) models, a Parameter Correlation Analysis (PCA) was introduced into the FSE and a case study was carried out in the Naoli River in the Sanjiang Plain, Northeast China. The basic principle of the PCA is that the pairs of parameters which are highly correlated and linear with each other would contribute the same information to an assessment and one of them should be eliminated. The method of the PCA is that a correlation relationship among candidate parameters is examined before the FSE. If there is an apparent nonlinear or curvilinear relationship between two parameters, then both will be retained; if the correlation is significant (p<0.01), and the scatter plot suggests a linear relationship, then one of them will be deleted. However, which one will be deleted? For solving this problem, a sensitivity test was conducted and the higher sensitivity parameters remained. The results indicate that the original data should be preprocessed through the PCA for redundancy and variability. The study shows that introducing the PCA into the FSE can simplify the FSE calculation process greatly, while the results have not been changed much.

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Authors and Affiliations

  1. Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130012, China

    Jianhua Wang, Xianguo Lu & Ming Jiang

  2. Hebei Cangzhou Teacher’s College, Cangzhou, 061001, China

    Jianhua Wang & Jinghan Tian

  3. Graduate University of the Chinese Academy of Sciences, Beijing, 100049, China

    Jianhua Wang

Authors
  1. Jianhua Wang
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  2. Xianguo Lu
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  3. Jinghan Tian
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  4. Ming Jiang
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Corresponding author

Correspondence to Xianguo Lu.

Additional information

Foundation item: Under the auspices of National Natural Science Foundation of China (No. 40830535), Knowledge Innovation Program of Chinese Academy of Sciences (No.KSCX2-YW-N-46-06)

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Wang, J., Lu, X., Tian, J. et al. Fuzzy synthetic evaluation of water quality of Naoli River using parameter correlation analysis. Chin. Geogr. Sci. 18, 361–368 (2008). https://doi.org/10.1007/s11769-008-0361-5

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  • DOI: https://doi.org/10.1007/s11769-008-0361-5

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