T299 Novel Approaches to Mine Remediation: Addressing the Legacy of Hardrock Mining through Innovative and Practical Methods
Wednesday, 25 October 2017
8:00 AM - 12:00 PM
Room 618/619/620
USING FACTOR ANALYSIS TO IDENTIFY SOIL CONTAMINANTS FROM THE PALMERTON, PA, ZINC SMELTERS
Paper number: T299-6
Program: Technical Sessions
Time: 9:15 AM – 9:30 AM
Authors
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Alyssa SoucyUniversity of Massachusetts, Lowell, MA
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Samuel FontaineUniversity of Massachusetts, Lowell, MA
Abstract
One group of soil samples was from Lehigh Gap, close to the smelters, and the other group was from a mountaintop traverse along an east-west trending ridge line just south of the smelters. Plots of element concentrations versus distance from the smelters showed that As, Sb, Se, Cd, Hg, Zn, Fe, Cr, Co, and Sc co-varied. Factor analysis was applied to the data set and two factors explained 81% of the variance. The first factor accounted for 45% of the variance and consisted of As, Sb, Se, Cd, and Hg. Based on the ore mineral chemistry, this factor reflects the contributions of the sulfide ore minerals, sphalerite and galena. The second factor accounted for 36% of the variance and consisted of As, Fe, Cr, Co, and Sc. This factor was related to the oxide ore minerals, franklinite and zincite. The samples collected in Lehigh Gap, the remediated area proximal to the smelters, exhibited differences in elemental patterns when compared to those collected along the mountaintop traverse. We hypothesize that these remediated samples are largely influenced by the mineral component franklinite which has relatively high amounts of Fe and strong positive correlations with Sc and Cr; whereas the mountaintop samples are largely influenced by the sulfide minerals which exhibit strong positive correlations between Hg, Sb, and Se.
The combination of standard element-element plots and factor analysis is a powerful approach for identifying the source(s) of contaminants. Given an adequate data set, this approach can be used not only for soil contamination, but also for air and water contamination. The derived information should prove useful in developing remediation strategies and identifying pollution sources.
Geological Society of America Abstracts with Programs. Vol. 49, No. 6
doi: 10.1130/abs/2017AM-299320
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