Efficiency of stepwise magnetic-chemical site assessment for fly ash derived heavy metal pollution
Efficiency of stepwise magnetic-chemical site assessment for fly ash derived heavy metal pollution
复制标题
飞灰重金属污染逐步磁化学现场评估的效率
DOI：
10.1093/gji/ggv318
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发表时间：
2015
影响因子：
2.8
通讯作者：
Magiera
中科院分区：
文献类型：
--
作者：
Rösler;Magiera
之前的工作揭示了磁化率（MS）和工业来源的重金属（HM）含量之间的密切关系。然而，尽管对磁测图的有用性进行了一般性陈述，但该程序对地球化学的好处尚未量化。我们对燃煤发电厂周围土壤中的飞灰污染进行了一项研究，并模拟了磁性预筛分的逐步方法以及随后进行化学分析的有针对性的取样。本研究的目的不是讨论 MS 和 HM 之间的相关性，而是表明组合逐步磁化学方法是概述 HM 污染的最有效方法。为了提供定量证据，我们仅基于磁化学数据和化学数据探索了空间 HM 分布的地图相似性。我们确定了由采样坐标处分类的 HM 值定义的 3-D 三角形平面，并计算法线向量的平均二面角作为相似性结果。研究表明，“目标”HM 图（基于磁预筛选的 30 个站点选择）与“真实”污染 HM 图（85 个站点）的相似度高于不使用磁预筛选信息的站点选择（30 个站点）产生的 HM 图。
Previous works revealed a close relationship between magnetic susceptibility (MS) and heavy metal (HM) contents originating from industrial sources. However, despite general statements on the usefulness of magnetic mapping, the benefit of this procedure for geochemistry was not quantified yet. We present a study on fly ash pollution in soil around a coal-burning power plant complex and simulate a stepwise approach of magnetic pre-screening and subsequent targeted sampling for chemical analysis. The aim of this study is not to discuss correlations between MS and HM, but to show that a combined stepwise magnetic-chemical approach is the most efficient way for outlining HM contamination. In order to provide quantitative evidence, we explored map similarities of spatial HM distributions based on magnetochemical data and chemical data only. We determined 3-D triangular planes defined by categorized HM values at the sampling coordinates and calculated the average dihedral angle of the normal vectors as a similarity result. The study shows that the ‘Targeted’ HM map (selection of 30 sites based magnetic pre-screening) has a higher similarity with the ‘True’ Pollution HM map (85 sites) than HM maps resulting from site selections (30 sites) without using magnetic pre-screening information.
地图相似度测量及其在佐渡河口的应用
DOI：
--
发表时间：
2012
期刊：
影响因子：
--
作者：
S. Caeiro;S. Sousa;M. Painho
通讯作者：
M. Painho
影响因子：
11.4
作者：
Yantasee, Wassana;Warner, Cynthia L.;Warner, Marvin G.
通讯作者：
Warner, Marvin G.
影响因子：
8.9
作者：
Blaha, U.;Appel, E.;Stanjek, H.
通讯作者：
Stanjek, H.