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岩性与土壤学对土壤磁化率的影响:磁污染制图中的考量

Lithological and pedological influences on the magnetic susceptibility of soil: their consideration in magnetic pollution mapping.

作者信息

Hanesch Monika, Rantitsch Gerd, Hemetsberger Sigrid, Scholger Robert

机构信息

Department of Applied Geosciences and Geophysics, University of Leoben, Peter Tunner Str. 25, 8700 Leoben, Austria.

出版信息

Sci Total Environ. 2007 Sep 1;382(2-3):351-63. doi: 10.1016/j.scitotenv.2007.04.007. Epub 2007 May 16.

Abstract

Magnetic susceptibility measurements are widely used to map and monitor the heavy metal pollution of soils. However, the magnetic properties of soils are influenced significantly by the bedrock lithology and soil-forming processes. Therefore, a main challenge in the data interpretation is to filter out the anthropogenic pollution signal. In this study we address this problem by analysing susceptibility values, heavy metal concentrations, as well as pedological parameters in a large soil data set from the eastern segment of Austria, covering a wide range of different lithologies and soil types. The statistic assessment demonstrates an influence of lithology and soil type on the magnetic susceptibility signal. Therefore anomalies are defined in sub sets of different soil types separately. Three different methods were applied to detect susceptibility anomalies: the median absolute deviation method, the boxplot method, and the population modelling method. These methods evaluate topsoil data only and can therefore also be applied to field measurements of magnetic susceptibility. The results were compared to the conventional method of calculating the difference of topsoil and subsoil susceptibility. All three approaches identify the main anomalies in the study area and are successful in circumventing the problem of erroneous anomaly definition due to pedological processes. However, knowledge of the lithological background is still necessary for a meaningful interpretation and can only be substituted by a large amount of data. The tested methods lead to thresholds of different height and therefore act as filters of different strength for the definition of anomalies.

摘要

磁化率测量被广泛用于绘制和监测土壤中的重金属污染情况。然而,土壤的磁性特性受到基岩岩性和土壤形成过程的显著影响。因此,数据解释中的一个主要挑战是滤除人为污染信号。在本研究中,我们通过分析奥地利东部一个大型土壤数据集的磁化率值、重金属浓度以及土壤学参数来解决这个问题,该数据集涵盖了广泛的不同岩性和土壤类型。统计评估表明岩性和土壤类型对磁化率信号有影响。因此,分别在不同土壤类型的子集中定义异常。应用了三种不同的方法来检测磁化率异常:中位数绝对偏差法、箱线图法和总体建模法。这些方法仅评估表层土壤数据,因此也可应用于磁化率的现场测量。将结果与计算表层土壤和下层土壤磁化率差异的传统方法进行了比较。所有三种方法都识别出了研究区域内的主要异常,并且成功地规避了由于土壤学过程导致的异常定义错误的问题。然而,对于有意义的解释来说,岩性背景知识仍然是必要的,并且只能被大量数据所替代。所测试的方法导致了不同高度的阈值,因此在定义异常时起到了不同强度的过滤器作用。

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