COMPARISON ON DETECTION METHODS WITH DISSOLVED ORGANIC MATTER IN RIVER WATER OF RAINY PRIMARY SEWAGE DISCHARGE FROM A COMBINED SEWAGE TREATMENT PLANT BASED ON CONFUSION MATRIX

DOI Web Site 1 Citations 6 References
  • YAMAGUCHI Takeshi
    京都大学大学院工学研究科附属 流域圏総合環境質研究センター
  • YAMASHITA Naoyuki
    愛媛大学大学院農学研究科 生物環境学専攻・地域環境工学コース
  • TANAKA Hiroaki
    京都大学大学院工学研究科附属 流域圏総合環境質研究センター

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Other Title
  • 混同行列に基づいた河川水中の溶存態有機物による雨天時下水処理場簡易処理放流発生の検出法の比較

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<p> We investigated changes in dissolved organic carbon (DOC) and the abundance of fluorescent dissolved organic matter (FDOM) components in a river before and after the occurrence of primary treatment discharge from a combined sewage treatment plant. We proposed DOC, the score value of the protein-like component (Comp. 2) of the FDOM, and FDOM/DOC as indicators detecting the change in river water quality due to the inclusion of untreated sewage during rainy events. Then, we evaluated the suitability of the three indicators by comparing their absolute values and their change rates with ratios of estimated primary treatment discharge to river flow. The suitability of the indicators was judged based on binary classification using machine learning, that is confusion matrix with accuracy, and F-value. As the results, it was found that the absolute values of DOC and FDOM were effective in detecting of the occurrence of primary treatment discharge at the downstream point of the receiving river because of the large accuracy rates and F values.</p>

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