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Combination of magnetic parameters: an efficient way to discriminate soil-contamination sources (south France)

机译:磁参数组合:区分土壤污染源的有效方法(法国南部)

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Biplots combining magnetic parameters allow to identification and differentiation different pollutant emission sources. A major problem in soil pollution is the characterization of the relative contributions of different anthropogenic particles sources. This paper demonstrates the efficiency of magnetic techniques to provide identification and differentiation of contaminating emission sources. About 100 soil samples were collected across a mixed agricultural and industrial area (Crau plain/Berre-Fos basin) in southern France. Nine soil profiles were realized. They are aligned along a transect, from the Mediterranean cost to the north. Measurements of initial magnetic susceptibility (x) and remanent magnetization (ARM, IRM) have been carried out at room temperature. Several ratios of magnetic parameters were calculated and tested. Bivariate analyses allow to characterize different pollution sources and graphic results suggest three dominant contributions originated from road traffic, airport and steel industry. Moreover, magnetic grain-size discrimination between surface-soil samples and bottom-soil samples is obtained. An increase of hard magnetic components from topsoil towards the bottom of the profiles is evidenced.
机译:结合磁参数的双曲线可以识别和区分不同的污染物排放源。土壤污染的一个主要问题是表征不同人为颗粒物来源的相对贡献。本文展示了磁性技术提供识别和区分污染排放源的效率。在法国南部的一个农业和工业混合地区(克劳平原/贝雷-福斯盆地)收集了大约100个土壤样品。实现了九种土壤剖面。它们沿着从地中海沿岸到北部的横断面对齐。初始磁化率(x)和剩余磁化强度(ARM,IRM)的测量已在室温下进行。计算和测试了几种磁参数比率。双变量分析可以表征不同的污染源,图形结果表明,三大主要贡献源于道路交通,机场和钢铁行业。此外,获得了表面土壤样品和底部土壤样品之间的磁性粒度区分。可以看出,硬磁性成分从表土向剖面底部的增加。

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