토양 재활용을 위한 통계적 분석의 PAHs 농도 예측
Prediction of PAHs Concentration using Statistical Analysis for Soil Recycling
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초록
요 약본 연구에서는 토양내 BaA 농도로부터 BaP, DahA와 ΣPAH의 농도 예측식 개발과 토양 재활용을 위하여 통계적 접근을 시도하였다. 회귀분석 결과 높은 상관성(R 2 > 0.90)과 BaA와 BaP(또는 DahA) 농도 사이에 밀접한 연관성을 보였다. 또한 개발된 회귀식을 다른 검증 연구에 적용한 결과 유사한 예측값을 얻었다. 통계적 분석에서 BaA가 BaP 예측에 높은 상관성을 보였으며 PAHs 예측에 중요한 인자로 여겨진다. 이들 예측식을 적용 할 경우 BaA 농도만을 이용하여 평균적인 BaP, DahA나 ΣPAH 농도를 빨리 계산 할 수 있다.
Abstract
This study investigated the feasibility of a statistical approach for soil recycling through the prediction of BaP, DahA and total PAH (ΣPAH) concentrations from BaA concentration. As results of regression, excellent linear correlations (R 2 > 0.90) were observed between BaA and BaP (or DahA) concentrations. When a developed prediction equation was applied to other investigations as a validation study, good prediction results were obtained. The predictive model showed very good correlation between the measured and calculated BaP. From this equation, BaA was an apparently important hydrocarbon for the prediction of PAHs. This model might provide a potentially useful tool for the calculation of average BaP, DahA and ΣPAH without additional tests.
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