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Yun, Sung-Wook,Baveye, Philippe C.,Kim, Dong-Hyeon,Kang, Dong-Hyeon,Lee, Si-Young,Kong, Min-Jae,Park, Chan-Gi,Kim, Hae-Do,Son, Jinkwan,Yu, Chan Elsevier 2018 Environmental pollution Vol.238 No.-
<P><B>Abstract</B></P> <P>Soil contamination due to atmospheric deposition of metals originating from smelters is a global environmental problem. A common problem associated with this contamination is the discrimination between anthropic and natural contributions to soil metal concentrations: In this context, we investigated the characteristics of soil contamination in the surrounding area of a world class smelter. We attempted to combine several approaches in order to identify sources of metals in soils and to examine contamination characteristics, such as pollution level, range, and spatial distribution. Soil samples were collected at 100 sites during a field survey and total concentrations of As, Cd, Cr, Cu, Fe, Hg, Ni, Pb, and Zn were analyzed. We conducted a multivariate statistical analysis, and also examined the spatial distribution by 1) identifying the horizontal variation of metals according to particular wind directions and distance from the smelter and 2) drawing a distribution map by means of a GIS tool. As, Cd, Cu, Hg, Pb, and Zn in the soil were found to originate from smelter emissions, and As also originated from other sources such as abandoned mines and waste landfill. Among anthropogenic metals, the horizontal distribution of Cd, Hg, Pb, and Zn according to the downwind direction and distance from the smelter showed a typical feature of atmospheric deposition (regression model: <I>y</I> = <I>y</I> <SUB>0</SUB> + αe<SUP>−<I>βx</I> </SUP>). Lithogenic Fe was used as an indicator, and it revealed the continuous input and accumulation of these four elements in the surrounding soils. Our approach was effective in clearly identifying the sources of metals and analyzing their contamination characteristics. We believe this study will provide useful information to future studies on soil pollution by metals around smelters.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Several approaches were combined to identify metal(loid) contamination in soil. </LI> <LI> As, Cd, Cu, Hg, Pb, and Zn in soils were derived from the Zn smelter. </LI> <LI> As originated from multiple anthropogenic sources as well as from the Zn smelter. </LI> <LI> Lithogenic Fe can be an indicator for continuous input of anthropogenic metals. </LI> <LI> Soil contamination can be effectively investigated with our proposed approach. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
유찬 ( Yu Chan ),장병욱 ( Chang Pyung Wuck ),( Baveye Philippe ) 한국농공학회 2001 한국농공학회 학술대회초록집 Vol.2001 No.-
The fractal theory is an interesting tool for measuring the soil properties which are irregular and dynamical. A simple example is shown in this paper that (statistical) fractal dimension can be evaluated from the traditional Particle-size distribution(PSD) curve. The results of Wu et al.(993) and Bittelli et al.(999) were referred to demonstrate the fractal analysis.
유찬,안성율,이창노,Yu, Chan,Ahn, Sung-Yul,Lee, Chang-No,Baveye, Philippe C. 한국지반공학회 2002 한국지반공학회논문집 Vol.18 No.6
전통적인 흙의 입도분포 곡선상에서 흙의 구성 성분에 따른 프랙탈 차원의 변화에 대해서 Wu등(1993)과Bittelli 등(1999)의 연구결과를 중심으로 Buchan 등(1993)의 실험결과를 이용하여 고찰하였다. 자료분석시에는 실트와 모래의 경계값의 변화에 따른 프랙탈 차원의 변화를 알아보기 위하여 20$\mu{m}$, 63$\mu{m}$ 그리고 125$\mu{m}$에 대한 프랙탈 차원을 산정하여 전체 범위에서 구한 프랙탈 차원과 비교하였다. 분석결과에서는 전통적인 입도분포곡선상에서 프랙탈 차원의 산정은 가능한 것으로 나타났으며, 실트와 모래성분의 경계값은 Wu 등(1993)이 제시한 것 보다 Bittelli 등(1999)이 제시한 경계값이 더 적절함을 알 수 있었다. 또한 Bittelli 등(1999)이 제시한 실험식을 이용해서 실트영역의 프랙탈 차원을 비교적 정확하게 산정할 수 있었다. The fractal dimension that was evaluated with soil components from the traditional particle-size distribution(PSD) curve was analyzed using the results of Wu et al.(1993) and Bittelli et al.(1999). In order to find the change of the variation of fractal dimension with the upper and lower limit, three limit values(200$\mu{m}$, 63$\mu{m}$, and 125$\mu{m}$) were chosen, and these results of fractal dimension analysis were compared to the result that was evaluated in the whole range of the soils. The results showed that it is possible to evaluate fractal dimension from the traditional PSD curve with the soil contents, and it showed that Bittelli et at.(1999)'s upper and lower limit value was more reasonable than Wu et al.(1993). Equations that were presented by Bittelli et at.(1999) also showed a good agreement with the analytical results in the silt domain.