Discipline: Ecology Environmental and Earth Sciences
Subcategory: Geosciences and Earth Sciences
Kennedy Smith - University of Arkansas at Pine Bluff
Co-Author(s): Smith, Victoria1; Scurlock, Daja2; Butler, Chauntilena3; Hollins, Eddie2; Smith, Kennedy4; Spearman, Tim5; Dickson, John6; Kaplan, Daniel I.6; Smith, Garriet7; 1 Delaware State University; 2 LeMoyne-Owen College; 3Savannah State University; 4University of Arkansas at Pine Bluff; 5 Xavier University of Louisiana; 6 Savannah River National Laboratory; 7 University of South Carolina Aiken
The hypothesis of this study was predicated on how a better understanding of geological facies would reduce uncertainty associated with predicting contaminant sorption. Facies are expected to have similar assemblages of minerals, particle size distributions, origins of organic matter, and similar microbial population structures. These are all important factors affecting contaminant sorption. The approach of this study was to collect 42 composite soil samples from a 5 m by 1.5 m grid outcrop in Graniteville, South Carolina and five end-member facies samples. The fraction of each of the five facies comprising the 42 composite soil samples were estimated. Particle size distribution (gravel, sand, silt, and clay fractions), pH, organic matter (OM), iron coating content, and microbial colony forming units were determined for each composite soil and the five end-member facies soils. Also, hexavalent chromium (Cr) was used as a model contaminant to provide a measure of contaminant sorption. Chromium distribution coefficients (Kd = Crsoil/Crwater) were measured. Significant correlations were identified between several soil chemical and microbial properties. A significant correlation (r = 0.423; p ? 0.05, d.f. = 47) was also determined between measured Kd values and Kd values calculated based on knowledge of facies Kd values. Importantly, the calculated values were characterized by large amount of inherent error. Additional work is needed to determine the applicability of this approach for remediation of contaminated sites and how best to identify appropriate facies for this novel application.
Funder Acknowledgement(s): NSF
Faculty Advisor: Grant Wangila, email@example.com
Role: I worked in the field to recover soil samples, once returned to the lab I ran various tests on a portion of the samples. I was responsible for determining the influence of extractable Iron and particle size distribution, and their effect on the Chromium sorption.