Multi-dimensional dynamic fuzzy monitoring model for the effect of water pollution treatment

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The rapid development of the economy in China resulted in increasingly serious water pollution problem. A lot of water pollution treatment projects have been launched to improve the water environment quality. Water pollution treatment is a complex and long-term task. Considering the concept of water pollution with fuzziness and the factors affecting the effect of water pollution treatment (EWPT), this study constructs a multi-dimensional dynamic fuzzy comprehensive monitoring model. The model considers the vague boundaries in the representation of water pollution and various factors affecting the treatment effect, such as monitoring time, monitoring index, and monitoring location. In detail, firstly, existing methods for evaluating the EWPT are analyzed and reviewed. Then a multi-dimensional dynamic model is developed for monitoring the EWPT. Finally, the Yueya Lake of Henan Province in China is taken as an example to demonstrate the effectiveness and practicability of the proposed method. From the analysis of the results, to maintain the cleanliness of the water, efforts should still be made to eliminate and completely block the pollutants on the shore in order to fundamentally solve the problem.

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The authors acknowledge with gratitude the National Key R&D Program of China(No.2018YFC0406905), MOE (Ministry of Education in China) Project of Humanities and Social Sciences (No.19YJC630078) ,Youth Talents Teachers Scheme of Henan Province Universities (No.2018GGJS080), the National Natural Science Foundation of China (No.71302191), the Foundation for Distinguished Young Talents in Higher Education of Henan (Humanities & Social Sciences), China (No.2017-cxrc-023), 2018 Henan Province Water Conservancy Science and Technology Project (GG201828). This study would not have been possible without their financial support.

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Correspondence to Limin Su.

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Table 3 The monitoring grade of three locations at eighteen times

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Li, H., Cao, Y. & Su, L. Multi-dimensional dynamic fuzzy monitoring model for the effect of water pollution treatment. Environ Monit Assess 191, 352 (2019) doi:10.1007/s10661-019-7502-4

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  • Water pollution
  • Dynamic monitoring
  • Multi-dimensional
  • Fuzzy set
  • The effect of water pollution treatment