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In the context of the big data era, wastewater treatment plants (WWTPs) have accumulated a huge amount of time-series data, which are particularly important for the study of the water quality change law of WWTPs, so given the trending, comprehensive, and mineable nature of WWTPs effluent quality time series data, the flowing behavior of a Wastewater Treatment Plant (WWTP) in the southwest region was analyzed. The overall effluent water quality situation of this WWTP in 2022 is lower than that in 2021, with exceedance rates of chemical oxygen demand, total phosphorus, total nitrogen ammonia, nitrogen, and pH all within two-thousandths of a percent, and the plant is in stable operating condition. According to the main problems existing in the operation of the WWTP, the proposed distribution fitting significance level test and self-organized neural network clustering method will classify the operating conditions of WWTPs, which will help to diagnose the abnormality of WWTPs, assess the status, and optimize the guidance.

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Pollutant Discharge Behavior and Impacts of Wastewater Treatment Plants in a Time Perspective

  • 会议论文

  • 发表日期：

    2025年

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  • Yang Jiang,
  • Peng Zhang,
  • Cong Li,
  • Gui-Liang Zhong,
  • Xiang-Dong Qiu,
  • Ying-Qi Xiang,
  • Xue-Jun Xu,
  • Yong-Jun Ou

摘要

In the context of the big data era, wastewater treatment plants (WWTPs) have accumulated a huge amount of time-series data, which are particularly important for the study of the water quality change law of WWTPs, so given the trending, comprehensive, and mineable nature of WWTPs effluent quality time series data, the flowing behavior of a Wastewater Treatment Plant (WWTP) in the southwest region was analyzed. The overall effluent water quality situation of this WWTP in 2022 is lower than that in 2021, with exceedance rates of chemical oxygen demand, total phosphorus, total nitrogen ammonia, nitrogen, and pH all within two-thousandths of a percent, and the plant is in stable operating condition. According to the main problems existing in the operation of the WWTP, the proposed distribution fitting significance level test and self-organized neural network clustering method will classify the operating conditions of WWTPs, which will help to diagnose the abnormality of WWTPs, assess the status, and optimize the guidance.