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Geochemical Evaluation of Soil Background Metals and Their Relation to Soil Minerals(Abstract)

机译：地球化学评价土壤背景金属及其与土壤矿物质的关系（摘要）

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摘要

In 2002, soil background levels for metals were established for the 106,000 acre Avon Park Air Force Range (APAFR) based on approximately 20 soil samples. These levels were calculated as the lesser of two times the mean or the maximum detected value. However, subsequent sampling at sites at APAFR indicates frequent exceedances of the established background levels for metals in locations with no related waste disposal sources. Therefore, more detailed evaluations were undertaken to determine the likely source of the metals. As part of the evaluations, the relations between reference metals (e.g., aluminum or iron) and trace metals (e.g., arsenic or chromium) were determined using regression plots. Also, other indicators, such as the spatial and vertical distribution of metals, were evaluated. The regression plots indicate that the metals often occur in constant proportions that would be expected based on soil weathering processes. At locations with known contamination, the pattern of constant proportions does not occur. To use the regression evaluation for background determination, a reference data set was needed. Therefore, background sampling was undertaken to obtain data representa- tive of the multiple soil types and conditions that occur at APAFR. This study included collection of 120 soil samples, representing surface and subsurface soil in 60 locations from wetland and upland locations. The samples were distributed based on vegetation type as a surrogate for soil classifications. Results were evaluated using simple descrip- tive statistics and using regression analysis.
机译：2002年，基于大约20种土壤样品，为106,000英亩AVON Park空气力范围（APAFR）建立了金属的土壤背景水平。这些水平被计算为较小的两倍或最大检测值的较小。然而，随后在APAFR的位置采样，在没有相关废物处理来源的位置频繁地超出了所建立的背景水平的基础水平。因此，开展了更详细的评估以确定金属的可能源。作为评价的一部分，使用回归图测定参考金属（例如，铝或铁）和痕量金属（例如，砷或铬）之间的关系。此外，评估其他指标，例如金属的空间和垂直分布。回归曲线表明金属通常以恒定比例发生，这些比例基于土壤风化过程预期。在具有已知污染的位置，不会发生恒定比例的图案。要使用回归评估来确定背景确定，需要参考数据集。因此，进行了背景采样以获得数据代表的数据代表APAFR的多种土壤类型和条件。本研究包括收集120种土壤样品，在湿地和高地地点的60个地点中代表表面和地下土壤。基于植被类型作为土壤分类的替代品分布。使用简单的描述统计和使用回归分析来评估结果。

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