Journal of Korean Society on Water Environment (한국물환경학회지)

Korean Society on Water Environment (한국물환경학회)
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Prediction of Coagulation/Flocculation Treatment Efficiency of Dissolved Organic Matter (DOM) Using Multiple DOM Characteristics

다중 유기물 특성 지표를 활용한 용존 유기물질 응집/침전 제거효율 예측

  • Bo Young Kim (Department of Environment and Energy, Sejong University) ;
  • Ka-Young Jung (Department of Environment and Energy, Sejong University) ;
  • Jin Hur (Department of Environment and Energy, Sejong University)
  • 김보영 (세종대학교 환경에너지융합학과) ;
  • 정가영 (세종대학교 환경에너지융합학과) ;
  • 허진 (세종대학교 환경에너지융합학과)
  • Received : 2023.10.11
  • Accepted : 2023.11.23
  • Published : 2023.11.30
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Abstract

The chemical composition and molecular weight characteristics of dissolved organic matter (DOM) exert a profound influence on the efficiency of organic matter removal in water treatment systems, acting as efficiency predictive indicators. This research evaluated the primary chemical and molecular weight properties of DOM derived from diverse sources, including rivers, lakes, and biomasses, and assessed their relationship with the efficiency of coagulation/flocculation treatments. Dissolved organic carbon (DOC) removal efficiency through coagulation/flocculation exhibited significant correlations with DOM's hydrophobic distribution, the ratio of humic-like to protein-like fluorescence, and the molecular weight associated with humic substances (HS). These findings suggest that the DOC removal rate in coagulation/flocculation processes is enhanced by a higher presence of HS in DOM, an increased influence of externally sourced DOM, and more presence of high molecular weight compounds. The results of this study further posit that the efficacy of water treatment processes can be more accurately predicted when considering multiple DOM characteristics rather than relying on a singular trait. Based on major results from this study, a predictive model for DOC removal efficiency by coagulation/flocculation was formulated as: 24.3 - 7.83 × (fluorescence index) + 0.089 × (hydrophilic distribution) + 0.102 × (HS molecular weight). This proposed model, coupled with supplementary monitoring of influent organic matter, has the potential to enhance the design and predictive accuracy for coagulation/flocculation treatments targeting DOC removal in future applications.

Keywords

Acknowledgement

본 연구는 한국수자원공사(K-water)의 개방형 혁신 R&D(21-BW-005) 사업과 한국환경산업기술원의 수생태계 건강성 확보 기술개발사업(2020003030005)의 지원을 받아 연구되었습니다.

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