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Relationships between heavy metal content and magnetic susceptibility in road side loess profiles: A possible way to detect pollution

机译:黄土剖面重金属含量与磁化率之间的关系:一种检测污染的可能方法

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The vertical and horizontal contamination profile of the loess sediments located in the vicinity of the highway Novi Sad-Belgrade, with the intense frequency of vehicles, has been assessed. The heavy metal content (As, Cd, Co, Cr, Cu, Mn, Ni, Pb, and Zn) and hydrocarbon content were determined for the samples collected from two loess profiles in broad ranges of depth (0.15-4.50 m at 0.15 m intervals) and horizontally deeper in the sediment (0.01, 0.05 and 0.10 m). For all loess samples the contents of heavy metals were lower than the remediation intervention values. Hydrocarbon content in all analyzed sediment samples was below limit of quantification of 50 mg/kg. Magnetic susceptibility of the samples revealed the occurrence of one weak paleosol in one loess profile as well as the anthropogenic loess like deposits in the upper part of the second profile. The polynomial regression was successfully applied to estimate relationship between magnetic susceptibility of the loess and heavy metal content, total organic carbon and grain-size distribution. The developed second order equations are a responsive method with the calculated multiple R higher than 94%. The proposed statistical approach greatly simplifies the analysis of loess profile as a record of pollution, and it may serve to estimate the extremely high values of magnetic susceptibility influenced by small increase in heavy metal content, total organic carbon and grain size distribution. (C) 2018 Elsevier Ltd and INQUA. All rights reserved.
机译:随着车辆的频繁行驶,对位于诺维萨德-贝尔格莱德高速公路附近的黄土沉积物的垂直和水平污染状况进行了评估。确定了从两个黄土剖面收集的样品的重金属含量(As,Cd,Co,Cr,Cu,Mn,Ni,Pb和Zn)和重金属含量(0.15-0.50 m,0.15 m)间隔)并在沉积物中水平更深(0.01、0.05和0.10 m)。对于所有黄土样品,重金属含量均低于修复干预值。所有分析的沉积物样品中的烃含量均低于50 mg / kg的定量极限。样品的磁化率表明,在一个黄土剖面中出现了一种弱古土壤,在第二个剖面的上部出现了人为的黄土状沉积物。多项式回归已成功地用于估算黄土磁化率与重金属含量,总有机碳和粒度分布之间的关系。所开发的二阶方程是一种响应方法,其计算的多个R高于94%。提出的统计方法极大地简化了黄土剖面作为污染记录的分析,它可能有助于估算受重金属含量,总有机碳和粒度分布的少量增加影响的极高的磁化率。 (C)2018爱思唯尔有限公司和INQUA。版权所有。

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