Determination of anthropogenic boundary depth in industrially polluted soil and semi-quantification of heavy metal loads using magnetic susceptibility
Determination of anthropogenic boundary depth in industrially polluted soil and semi-quantification of heavy metal loads using magnetic susceptibility
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DOI：
10.1016/j.envpol.2008.02.013
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发表时间：
2008-11-01
影响因子：
8.9
通讯作者：
Stanjek, H.
中科院分区：
文献类型：
--
作者：
Blaha, U.;Appel, E.;Stanjek, H.
本研究的重点是磁化率处理和分析，以快速和成本效益的歧视和半定量的人为土壤中的重金属负荷。磁化率的空间变异性进行了研究套土壤芯从“污染”和“污染较少”的森林土壤接近一个钢厂附近Leoben，奥地利。类似于10 m（2）的试验场地代表“场地规模”尺寸。磁性数据的统计分析提供了一个边界深度，表明从“污染”到更深的过渡，在受污染的天然土壤区。块体主曲线的引入简化了单个曲线的复杂变化，并代表了“现场尺度”的磁化率。为了将块体主曲线与重金属联系起来，我们只需要一个土芯的磁化率数据和同一土芯两个子样品的重金属数据。我们优化的磁化率数据处理方案提供了一个适用的工具，半定量的人为重金属在土壤中的负载。(C)2008爱思唯尔有限公司保留所有权利。
This study focuses on magnetic susceptibility processing and analysis towards fast and cost-efficient discrimination and semi-quantification of anthropogenic heavy metal loads in soil. Spatial variability of magnetic susceptibility was investigated on sets of soil cores from both "polluted" and "less polluted" forest soil close to a steel mill near Leoben, Austria. Test sites of similar to 10 m(2) represent "site scale" dimensions. Statistical analysis of magnetic data provides a boundary depth indicating the transition from the "polluted" to the deeper, zone in contaminated natural soil. Introduction of a block master curve simplifies the complex variations of individual curves, and represents magnetic susceptibility at "site scale". For linking the block master curve to heavy metals we only require magnetic susceptibility data from one soil core and heavy metal data from two sub-samples from the same core. Our optimized magnetic susceptibility data processing scheme provides an applicable tool to semi-quantify anthropogenic heavy metal loads in soil. (C) 2008 Elsevier Ltd. All rights reserved.