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Variable Fuzzy Set Theory to Assess Water Quality of the Meiliang Bay in Taihu Lake Basin

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Listed:
  • Yuankun Wang
  • Dong Sheng
  • Dong Wang
  • Huiqun Ma
  • Jichun Wu
  • Feng Xu

Abstract

The water quality assessment is a fuzzy concept with multiple indicators and classes. Because of subjectivity in determining index weight and assessment standard as point forms in water quality assessment, evaluation results are often incompatible and independent, and sometimes with unreliable conclusions. An assessment model is developed, based on the variable fuzzy set and the information entropy theory. The model is applied to assess the water quality status of the Meiliang Bay of the Taihu Lake in China. Results show that the proposed model can determine the water quality level and provide an acceptable alternative based on optimized objectivity in determining water quality level. This study could provide a scientific basis for analyzing and evaluating the water quality for environment management. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Yuankun Wang & Dong Sheng & Dong Wang & Huiqun Ma & Jichun Wu & Feng Xu, 2014. "Variable Fuzzy Set Theory to Assess Water Quality of the Meiliang Bay in Taihu Lake Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(3), pages 867-880, February.
    • Handle: RePEc:spr:waterr:v:28:y:2014:i:3:p:867-880
    DOI: 10.1007/s11269-014-0521-6
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    References listed on IDEAS

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    Cited by:

    1. Meichen Wang & Herong Gui & Rongjie Hu & Honghai Zhao & Jun Li & Hao Yu & Hongxia Fang, 2019. "Hydrogeochemical Characteristics and Water Quality Evaluation of Carboniferous Taiyuan Formation Limestone Water in Sulin Mining Area in Northern Anhui, China," IJERPH, MDPI, vol. 16(14), pages 1-14, July.
    2. Wen-chuan Wang & Dong-mei Xu & Kwok-wing Chau & Guan-jun Lei, 2014. "Assessment of River Water Quality Based on Theory of Variable Fuzzy Sets and Fuzzy Binary Comparison Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(12), pages 4183-4200, September.
    3. Qian Bao & Zhu Yuxin & Wang Yuxiao & Yan Feng, 2020. "Can Entropy Weight Method Correctly Reflect the Distinction of Water Quality Indices?," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(11), pages 3667-3674, September.
    4. Yan Feng & Qian Bao & Liu Chenglin & Wei Bowen & You Zhang, 2018. "Introducing Biological Indicators into CCME WQI Using Variable Fuzzy Set Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(8), pages 2901-2915, June.
    5. Feng Yan & Ling Liu & You Zhang & Musong Chen & Ning Chen, 2016. "The Research of Dynamic Variable Fuzzy Set Assessment Model in Water Quality Evaluation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(1), pages 63-78, January.
    6. Min Li & Tianyuan Zheng & Jian Zhang & Yunhai Fang & Jiang Liu & Xilai Zheng & Hui Peng, 2019. "A New Risk Assessment System Based on Set Pair Analysis – Variable Fuzzy Sets for Underground Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(15), pages 4997-5014, December.
    7. Shiguo Xu & Tianxiang Wang & Suduan Hu, 2015. "Dynamic Assessment of Water Quality Based on a Variable Fuzzy Pattern Recognition Model," IJERPH, MDPI, vol. 12(2), pages 1-19, February.
    8. Yan Feng & Yi Fanghui & Chen Li, 2019. "Improved Entropy Weighting Model in Water Quality Evaluation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 2049-2056, April.

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