상하수도학회지 (Journal of Korean Society of Water and Wastewater)

  • 제37권2호
  • /
  • Pages.61-75
  • /
  • 2023
  • /
  • 1225-7672(pISSN)
  • /
  • 2287-822X(eISSN)
대한상하수도학회 (The Korean Society of Water and Wastewater)
권호 표지
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정수처리장 내 미량오염물질 제어를 위한 산화제 주입량 결정에 관한 총설

Determination of oxidant dose for control of micropollutants in drinking water treatment plant: A review

  • 김민식 (전북대학교 환경공학과, 토양환경연구소) ;
  • 임정현 (전북대학교 환경공학과, 토양환경연구소)
  • Min Sik Kim (Department of Environmental Engineering, Soil Environment Research Center, Jeonbuk National University) ;
  • Junghyun Lim (Department of Environmental Engineering, Soil Environment Research Center, Jeonbuk National University)
  • 투고 : 2023.03.03
  • 심사 : 2023.04.03
  • 발행 : 2023.04.15
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초록

The emergence of micropollutants in natural water sources due to the overuse of anthropogenic chemicals in industry and households has threatened the production of clean and safe tap water in drinking water treatment plants. Conventional physicochemical processes such as coagulation/flocculation followed by sand filtration are not effective for the control of micropollutants, whereas chemical oxidation processes (applying chlorine, permanganate, ozone, etc.) are known to be promising alternatives. Determining the optimum oxidant dose is important issue related to the production of disinfection by-products as well as unnecessary operating cost, and is made possible by simulations of target-micropollutant abatement based on kinetic model equation consisting of second-order rate constant (between the oxidant and the target) and oxidant exposure. However, the difficulty in determining oxidant exposure as a function of complex water quality parameters limits the field application of kinetic model equation. With respect to representative oxidants used in drinking water treatment plants, this article reviews two main approaches for determining oxidant exposure: i) direct measurement in situ and ii) prediction by empirical models based on key water quality parameters. In addition, we discussed research requirements to improve the predictive accuracy of the empirical models for oxidant exposure and to develop a rational algorithm to determine optimal oxidant dose by considering the priority of the target pollutants to be treated.

키워드

과제정보

본 연구는 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행되었습니다(NRF-2021R1F1A1064564).

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