title: Evaluation of geochemical associations as a screening tool for identifying anthropogenic trace metal contamination.
abstract: Geochemical association plots are used as a screening tool for environmental site assessments and use empirical log-log relationships between total trace metal concentrations and concentrations of a major (i.e., reference) soil metal constituent, such as iron (Fe), to discern sites with naturally elevated trace metal levels from sites with anthropogenic contamination. Log-log relationships have been consistently observed between trace metal and reference metal concentrations and are often considered constant. Consequently, we used a regional geochemistry data set to evaluate background trace metal/Fe log-log associations across soils with highly diverse composition. Our results indicate that, although geochemical associations may be proportional, they significantly differ across predominant United States Department of Agriculture (USDA) soil orders. This suggests that highly complex interactions between soil-forming factors and variable secondary clay mineral composition affect the ratio of trace metals to Fe concentrations in soils. Also, intra-order variability in trace metal/Fe ratios generally ranged multiple orders of magnitude which suggest that the order level of the USDA soil taxonomic system is insufficient to reasonably classify background trace metal concentrations. Consequently, geochemical association plots are a useful screening tool for environmental site assessments, but ubiquitous application of generic background metal data sets could result in erroneous conclusions. Because significantly different ratios were observed across predominant USDA soil orders, an agglomerative clustering technique was used to elucidate hierarchical patterns of association. We present these results as a mechanism to aid environmental assessors in screening candidate background metal data sets for their applicability to site-specific soil composition; although site-specific background metal data should be utilized if ample pristine reference sites with similar (i.e., sub-order) soil composition can be identified and sampled.
authors: National Center for Environmental Assessment, Office of Research and Development, United States Environmental Protection Agency, 26 West Martin Luther King (MS A-110), Cincinnati, OH 45268, USA. anderson.hunter@epa.gov
authors: Richard Hunter
authors: RH
authors: Anderson
authors: Michael J
authors: MJ
authors: Kravitz
mesh_terms: D004784:Environmental Monitoring / Q000379:methods*; D004787:Environmental Pollution / Q000009:adverse effects; D012989:Soil Pollutants / Q000032:analysis; D014131:Trace Elements / Q000032:analysis*
chemical_list: D012989:Soil Pollutants; D014131:Trace Elements