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Database Analysis of State Surface Soil Regulatory Guidance Values

机译:国家表层土壤管理指导值的数据库分析

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A 2001 study of Cleveland, Ohio brownfield surface soil contamination led to the examination of state regulatory guidance values for soils. Surface soils were of particular interest since these generally pose the greatest risk to human health at brownfield sites. This investigation initially focused on heavy metals, common contaminants at Cleveland brownfields. However, the observation of significant variability in guidance values applied to Cd, Cr, Cu, Pb, Ni, and Zn led to questions about other state-regulated components and ultimately to research examining the origins, magnitudes, and explanations for regulatory guidance value variability. The results presented here are based on the compilation of an 18,776 state surface soil database assembled from regulatory guidance for organic, inorganic, and element contaminants. All values were captured electronically from internet sources. The structure of each guidance value dataset was then standardized in a database-compatible format. Chemical Service (CAS) registry numbers were added to each record if they were not already provided. Identification of all records by CAS number resolves the problem of chemical synonyms. All value datasets were then assembled into the ACCESS database S3GVD (State Surface Soil Guidance Value Database) Statistical analysis is presented to characterize the nature and extent of variability in state surface soil guidance values. The organics, inorganics, and elements most and least commonly regulated and the range of guidance values are discussed. Log-scale Ordered Column Diagrams (LOCDs) are used to explore the nature of individual chemical guidance value distributions
机译:2001年对俄亥俄州克利夫兰的棕地表土壤污染进行的一项研究导致对土壤的国家法规指导值进行了检验。地表土壤特别令人感兴趣,因为它们通常在棕地场所对人类健康构成最大的风险。这项调查最初集中在克利夫兰褐地的重金属和常见污染物。但是,观察到适用于Cd,Cr,Cu,Pb,Ni和Zn的指导值存在显着变化,这引发了对其他受国家管制的成分的疑问,最终导致研究检查指导性指导值变异性的起因,幅度和解释。此处给出的结果是基于对有机,无机和元素污染物的法规指导汇编的18776个州表面土壤数据库的汇编。所有价值都是从互联网上以电子方式获取的。然后,以数据库兼容格式将每个指导值数据集的结构标准化。如果尚未提供化学服务(CAS)注册表号,则将其添加到每个记录中。通过CAS号识别所有记录可解决化学同义词的问题。然后将所有值数据集组装到ACCESS数据库S3GVD(状态表面土壤指导值数据库)中,进行统计分析以表征状态表面土壤指导值的性质和变化程度。讨论了最受监管的有机物,无机物和元素,以及指导值的范围。对数刻度有序柱状图(LOCD)用于探索各个化学指导值分布的性质

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