• Research with Statistical Model to Analyze Efficiency of Heavy Metal Soil Washing
  • Oh, Sangyoung;Yoo, Jongchan;Baek, Kitae;Kim, Hanseung;Park, Jaewoo;
  • Department of Civil and Environmental Engineering, Hanyang University;Korea Institute of Geoscience and Mineral Resources (KIGAM);Department of Environmental Engineering, Chonbuk National University;Department of Environmental Engineering, Konkuk University;Department of Civil and Environmental Engineering, Hanyang University;
  • 통계학적 모델을 이용한 중금속 토양 세척의 효율 분석에 관한 연구
  • 오상영;유종찬;백기태;김한승;박재우;
  • 한양대학교 건설환경공학과;한국지질자원연구원;전북대학교 환경공학과;건국대학교 환경공학과;한양대학교 건설환경공학과;
Abstract
In soil washing, there are many variables including types of reagent and contaminant, washing time, soil-liquid ratio, washing cycles, washing agent concentrations, and etc. To identify the most influencing factors on soil washing process, regression analysis was performed for eight single variables and five combined variables. A quantitative model that employs W/H (molar ratio of washing agent to heavy metal) as a major variable was established based on the regression. The validity of the model was demonstrated by conducting lab experiments with Cu, Pb, Zn, Ni and As-contaminated soils, and various washing reagents including acetic acid, citric acid, malic acid, oxalic acid, ethylenediamine tetraacetic acid (EDTA) and nitriloacetic acid (NTA). The washing efficiencies were compared with the EDTA washing data reported in the literature. The correlation between W/H and removal efficiency was analyzed after dividing data into two groups according to the heavy metal mobility.

Keywords: Soil washing;Heavy metal;Regression analysis;Statistical model;

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