Near-Surface Sensing of Vegetative Heavy Metal Stress: Method Development for an Accelerated Assessment of Mine Tailing Waste and Remediation Efforts

Abstract:

The boom and bust history of mineral extraction in the American southwest is visible today in tens of thousands of abandoned and slowly decaying mine installations that scar the landscape. Mine tailing piles, mounds of crushed mineral ore, often contain significant quantities of heavy metal elements which may leach into surrounding soils, surface water and ground water. Chemical analysis of contaminated soils is a tedious and time-consuming process. Regional assessment of heavy metal contamination for treatment prioritization would be greatly accelerated by the development of near-surface imaging indices of heavy-metal vegetative stress in western grasslands. Further, the method would assist in measuring the ongoing effectiveness of phytoremedatian and phytostabilization efforts. To test feasibility we ground truthed nine phytoremediated and two control sites sites along the mine-impacted Kerber Creek watershed in Saguache County, Colorado. Total metal concentration was determined by XRF for both plant and soil samples. Leachable metals were extracted from soil samples following US EPA method 1312. Plants were identified, sorted into roots, shoots and leaves, and digested via microwave acid extraction. Metal concentrations were determined with high accuracy by ICP-OES analysis. Plants were found to contain significantly higher concentrations of heavy metals than surrounding soils, particularly for manganese (Mn), iron (Fe), copper (Cu), zinc (Zn), barium (Ba), and lead (Pb). Plant species accumulated and distributed metals differently, yet most showed translocation of metals from roots to above ground structures. Ground analysis was followed by near surface imaging using an unmanned aerial vehicle equipped with visible/near and shortwave infrared (0.7 to 1.5 µm) cameras. Images were assessed for spectral shifts indicative of plant stress and attempts made to correlate results with measured soil and plant metal concentrations.