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국내 정수장의 Larson's ratio 특성에 관한 연구

Study on characteristic for Larson's ratio of water treatment plants

  • 민병대 (국립환경과학원 상하수도연구과) ;
  • 정현미 (국립환경과학원 상하수도연구과) ;
  • 안경희 (국립환경과학원 상하수도연구과) ;
  • 박주현 (국립환경과학원 상하수도연구과)
  • Min, Byung-dae (Water Supply and Sewerage Research Division, National Institute of Environmental Research Environmental Research Complex) ;
  • Chung, Hyen-mi (Water Supply and Sewerage Research Division, National Institute of Environmental Research Environmental Research Complex) ;
  • Ahn, Kyung-hee (Water Supply and Sewerage Research Division, National Institute of Environmental Research Environmental Research Complex) ;
  • Park, Ju-hyun (Water Supply and Sewerage Research Division, National Institute of Environmental Research Environmental Research Complex)
  • 투고 : 2016.07.22
  • 발행 : 2016.10.31

초록

In many countries in order to manage corrosion of water treatment process, it is currently using Langelier index (LI). However, management of the Larson's ratio (LR) to compare corrosion management and LI which can be generated by the water treatment process is required. In this study, in order to ensure data LR, factors associated with the actual corrosion resistance of water treatment plant was measured. Using the measured data, the model equation can be estimated alkalinity, and using the statutory water quality data, LR and alkalinity is estimated. At comparison of the measured value and estimated value of alkalinity, it appeared in $R^2$ = 0.629, using the statutory water quality data and estimated alkalinity model, LR and alkalinity (Whole water treatment plants : 472) is estimated. Concentration of estimated alkalinity is 0.5 mg/L to 107.5 mg/L (average : 23.2 mg/L), and LR is 0.1 to 10 (average : 1.3). At tendency to corrosion of investigated LR, "No metal tendency" (>0.5) is 39 water treatment plants, 8.26 %, and "corrosion metal tendency" is 433 water treatment plants, 91.74%.

키워드

참고문헌

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피인용 문헌

  1. Effect of corrosive water quality control and corrosion index monitoring in pilot scale pipeline simulator vol.32, pp.2, 2018, https://doi.org/10.11001/jksww.2018.32.2.183