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Analysis of Optical Properties of Organic Carbon for Real-time Monitoring

유기탄소 실시간 모니터링을 위한 분광학적 특성인자 분석

  • You, Youngmin (Department of Advanced Science and Technology Convergence, Kyungpook National University) ;
  • Park, Jongkwan (School of Civil, Environmental and Chemical Engineering, Changwon National University) ;
  • Lee, Byungjoon (Department of Civil Environmental Engineering, School of Disaster Prevention and Environmental Engineering, Kyungpook National University) ;
  • Lee, Sungyun (Department of Civil Environmental Engineering, School of Disaster Prevention and Environmental Engineering, Kyungpook National University)
  • 유영민 (경북대학교 미래과학기술융합학과) ;
  • 박종관 (창원대학교 토목환경화공융합공학부) ;
  • 이병준 (경북대학교 방재공학부 건설환경공학과) ;
  • 이승윤 (경북대학교 방재공학부 건설환경공학과)
  • Received : 2021.08.27
  • Accepted : 2021.09.27
  • Published : 2021.09.30

Abstract

Optical methods such as UV and fluorescence spectrophotometers can be applied not only in the qualitative analysis of dissolved organic matter (DOM), but also in real-time quantitative DOM monitoring for wastewater and natural water. In this study, we measure the UV254 and fluorescence excitation emission spectra for a sewage treatment plant influent and effluent, and river water before and after sewage effluent flows into the river to examine the composition and origin of DOM. In addition, a correlation analysis between quantified DOM characteristics and dissolved organic carbon (DOC) was conducted. Based on the fluorescence excitation emission spectra analysis, it was confirmed that the protein-type tryptophan-like DOM was the dominant substance in the influent, and that the organic matter exhibited relatively more humic properties after biological treatment. However, DOM in river water showed the fluorescence characteristics of terrestrial humic-like and algal tyrosine-like (protein-like) organic matter. In addition, a correlation analysis was conducted between the DOC and optical indices such as UV254, the fluorescence intensity of protein-like and humic-like organic matter, then DOC prediction models were suggested for wastewater and river monitoring during non-rainfall and rainfall events. This study provides basic information that can improve the understanding of the contribution of DOC concentration by DOM components, and can be used for organic carbon concentration management in wastewater and natural water.

Keywords

Acknowledgement

본 연구는 2021년도 정부(교육부)의 재원으로 한국연구재단의 지원(과제번호: 2020R1I1 A3069197)과 경북대학교 4단계 BK21 사업(과제번호: 5199990214511)의 지원을 받아 수행된 연구입니다.

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