한국물환경학회지 (Journal of Korean Society on Water Environment)

  • 제38권6호
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  • Pages.306-315
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  • 2022
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  • 2289-0971(pISSN)
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  • 2289-098X(eISSN)
한국물환경학회 (Korean Society on Water Environment)
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LOADEST 모형을 활용한 수질 경향성 분석: 영산강 수계를 중심으로

Analysis of Water Quality Trends Using the LOADEST Model: Focusing on the Youngsan River Basin

  • 이기순 (국립환경과학원 영산강물환경연구소) ;
  • 백종훈 (국립환경과학원 영산강물환경연구소) ;
  • 최지연 (국립환경과학원 영산강물환경연구소) ;
  • 이영재 (국립환경과학원 영산강물환경연구소) ;
  • 신동석 (국립환경과학원 영산강물환경연구소) ;
  • 하돈우 (국립환경과학원 영산강물환경연구소)
  • Gi-Soon, Lee (Dept. of Yeongsanriver Environment Research Laboratory, National Institute of Environmental Research) ;
  • Jonghun, Baek (Dept. of Yeongsanriver Environment Research Laboratory, National Institute of Environmental Research) ;
  • Ji Yeon, Choi (Dept. of Yeongsanriver Environment Research Laboratory, National Institute of Environmental Research) ;
  • Youngjea, Lee (Dept. of Yeongsanriver Environment Research Laboratory, National Institute of Environmental Research) ;
  • Dong Seok, Shin (Dept. of Yeongsanriver Environment Research Laboratory, National Institute of Environmental Research) ;
  • Don-Woo, Ha (Dept. of Yeongsanriver Environment Research Laboratory, National Institute of Environmental Research)
  • 투고 : 2022.08.10
  • 심사 : 2022.11.16
  • 발행 : 2022.11.30
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초록

In this study, long-term measurement data were applied to the LOADEST model and used as an analysis tool to identify and interpret trends in pollution load. The LOADEST model is a regression equation-based pollution load estimation program developed by the United States Geological Survey (USGS) to estimate the change in the pollution load of rivers according to flow rate and time and provides 11 regression equations for pollution load evaluation. As a result of simulating the Gwangjuchen2, Pungyeongjeongchen, and Pyeongdongchen in the Yeongbon B unit basin in the middle and upper reaches of the Yeongsan River with the LOADEST model using water quality and flow measurement data, lower values were observed for the Gwangjuchen2 and Pyeongdongchen, whereas the Pungyeongjeongchen had higher values. This was judged to be due to the characteristics of the LOADEST model related to data continuity. According to the parameters estimated by the LOADEST model, pollutant trends were affected by increases in the flow. In addition, variability increased with time, and BOD and T-P were affected by the season. Thus, the LOADEST model can contribute to water quality management as an analytical tool for long-term data monitoring.

키워드

과제정보

본 연구는 영산강·섬진강 수계관리위원회 "소유역 하천모니터링 사업"의 연구비지원에 의해 수행되었습니다. (No. 1345-402-260-01).

참고문헌

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