Journal of Soil and Groundwater Environment (한국지하수토양환경학회지:지하수토양환경)

Korean Society of Soil and Groundwater Environment (한국지하수토양환경학회)
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Estimating Partition Coefficients of Partitioning Tracers between Water and BTEX Mixtures

BTEX 혼합물질과 액상 간 분배성 추적자의 분배계수 예측

  • Rhee, Sung-Su (School of Civil, Urban & Geosystem Engineering, Seoul National University) ;
  • Cho, Sang-Youn (School of Civil, Urban & Geosystem Engineering, Seoul National University) ;
  • Oh, Myoung-Hak (Coastal Engineering Research Department, Korea Ocean Research & Development Institute) ;
  • Park, Jun-Boum (School of Civil, Urban & Geosystem Engineering, Seoul National University)
  • 이성수 (서울대학교 공과대학 건설환경공학부) ;
  • 조상연 (서울대학교 공과대학 건설환경공학부) ;
  • 오명학 (한국해양연구원 연안개발연구본부) ;
  • 박준범 (서울대학교 공과대학 건설환경공학부)
  • Published : 2007.04.30
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Abstract

The partitioning tracer method has been studied as an alternative method for detecting and characterizing the distribution of nonaqueous phase liquids (NAPLs) contaminants in subsurface. The reliability of the partitioning tracer method depends on accurate measurements of partition coefficients of the partitioning tracers between water and NAPLs. In this study, partition coefficients of several alcohol tracers between water and benzene, toluene, ethylbenzene, xylene, and BTEX mixtures are estimated using the modified approach of equivalent alkane carbon number (EACN). Agreements between the measured and estimated partition coefficients were generally observed in experiments. Based on these results, it is confirmed that the partition coefficients of tracers are readily obtained without experiments if the EACN values for the tracers and LNAPLs are known.

분배성 추적자 시험은 NAPLs(Nonaqueous Phase Liquids)로 오염된 대수층 및 토양 내 오염물질의 양을 예측하는 새로운 모니터링 방법으로 최근 많이 연구되고 있다. 분배성 추적자 시험은 액상과 NAPL 간에 분배되는 분배성 추적자의 분배계수를 정확히 구해야 높은 신뢰도를 가진 결과를 얻을 수 있다. 본 연구에서는 등가 알칸 탄소수(Equivalent Alkane Carbon Number; EACN) 접근법을 이용하여 액상과 벤젠, 톨루엔, 에틸벤젠, 자일렌 그리고 BTEX 혼합물질간에 분배되는 알코올 계열 추적자의 분배계수를 예측해보았다. 이 예측식을 이용한 예측값과 실험값은 BTEX 뿐만 아니라 BTEX 혼합물에서도 비교적 잘 일치하였으며, 이를 통해 추적자와 오염물질의 EACN 값을 알고 있을 경우 직접적인 분배계수 실험을 하지 않고도 간단하게 예측할 수 있음을 확인하였다.

Keywords

References

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