| Title |
Prediction of Coagulation/Flocculation Treatment Efficiency of Dissolved Organic Matter (DOM) U sing Multip le DOM Characteristics |
| Authors |
김보영 ( Bo Young Kim ) ; 정가영 ( Ka-young Jung ) ; 허진 ( Jin Hur ) |
| DOI |
https://doi.org/10.15681/KSWE.2023.39.6.465 |
| Keywords |
Coagulation/Flocculation; Dissolved Organic Matter(DOM); Fluorescence; Hydrophobic; Molecular Weight; Multiple regression equation |
| 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. |