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Water Bloom Precursor Analysis Based on Two Direction S-Rough Set

Author

Listed:
  • Huyong Yan

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Guoyin Wang

    (Chinese Academy of Sciences)

  • Di Wu

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Yu Huang

    (Chinese Academy of Sciences)

  • Mingsheng Shang

    (Chinese Academy of Sciences)

  • Jianjun Xu

    (Chinese Academy of Sciences)

  • Kun Shan

    (Chinese Academy of Sciences)

  • Xiaoyu Shi

    (Chinese Academy of Sciences)

  • Jianhua Dong

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Lei Feng

    (Chinese Academy of Sciences)

  • Botian Zhou

    (Chinese Academy of Sciences)

  • Ye Yuan

    (Chinese Academy of Sciences)

  • Yufei Zhao

    (Yubei Municipal Gardens Bureau)

Abstract

In the field of water quality management, it is vital to determine the main precursory anomalies from the precursor of intricate water bloom in the context of a given area. In this paper, a water bloom precursor analysis method, based on two direction singular rough set, was proposed. This approach was produced on the basis of the different sections and pre-water bloom of water bloom precursor anomalies and characteristic of elements transferred in singular rough set. For testing the validity of two direction singular rough set application in water bloom precursor analysis, Xiangxi River, which is one of the typical tributaries of Three Gorges Reservoir in China, was selected as study area. The result showed that compared with other indexes, pH and dissolved oxygen (DO) are the most valuable indicators of water bloom in the precursory anomalies. Furthermore, regarding with water bloom precursory anomalies in Xiangxi River, most of the nutrient loading and biological community are the key indicators. Hence, this method can determine the main precursory anomaly for water bloom in the study area, which provides powerful knowledge support to water quality specialists for them to comprehensively analyze precursory anomaly so as to find out its relationship with occurrence law of water bloom.

Suggested Citation

  • Huyong Yan & Guoyin Wang & Di Wu & Yu Huang & Mingsheng Shang & Jianjun Xu & Kun Shan & Xiaoyu Shi & Jianhua Dong & Lei Feng & Botian Zhou & Ye Yuan & Yufei Zhao, 2017. "Water Bloom Precursor Analysis Based on Two Direction S-Rough Set," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(5), pages 1435-1456, March.
    • Handle: RePEc:spr:waterr:v:31:y:2017:i:5:d:10.1007_s11269-017-1579-8
    DOI: 10.1007/s11269-017-1579-8
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    References listed on IDEAS

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    1. Ping-Feng Pai & Fong-Chuan Lee, 2010. "A Rough Set Based Model in Water Quality Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(11), pages 2405-2418, September.
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    Cited by:

    1. Zhang, Meng & Zhao, Yi & Chen, Lansun & Li, Zeyu, 2020. "State feedback impulsive modeling and dynamic analysis of ecological balance in aquaculture water with nutritional utilization rate," Applied Mathematics and Computation, Elsevier, vol. 373(C).

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