Papers presented at the International Conference on Acid Rock Drainage (ICARD2000), May 21-24, 2000, Denver, Colorado. Papers are in the Proceedings from the Fifth International Conference on Acid Rock Drainage published by the Society for Mining, Metallurgy, and Exploration Inc., Littleton, Colorado.
Sampling Strategy for the Rapid Screening of Mine-Waste Dumps on Abandoned Mine Lands (Vol. II, p. 1453-1461) (PDF file, 195 KB) by Kathleen S. Smith, Charles A. Ramsey, and Philip L. Hageman. Statistically based sampling strategy for sampling the surface material of mine-waste dumps for use in screening and prioritizing historical dumps on abandoned mine lands. The sampling strategy involves the collection of a representative composite sample from an individual mine-waste dump.
A Simple Field Leach Test for Rapid Screening and Qualitative Characterization of Mine Waste Dump Material on Abandoned Mine Lands (Vol. II, p. 1463-1475) (PDF file, 2.3 MB) by Philip L. Hageman and Paul H. Briggs. Details the development of a simple field leach test for use in on-site screening of historical mine-waste materials. The leach test was developed to be an effective indicator of waste pile geochemistry and can be used to establish the relative geochemical fingerprint for a given pile, such as the potential chemical composition of precipitation runoff from the weathered surface of these piles.
Geoelectrical Methods for Investigating Mine Dumps (Vol. II, p. 1513-1523) (PDF file, 251 KB) by David L. Campbell and David V. Fitterman. Details the use of geophysical (geoelectrical) methods to study mine dumps. The methods discussed are direct current resistivity (DC), electromagnetic (EM), induced polarization (IP), and ground-penetrating radar (GPR).
An Investigation of the Partitioning of Metals in Mine Wastes Using Sequential Extractions (Vol. II, p. 1489-1499) (PDF file, 425 KB) by Reinhard W. Leinz, Stephen J. Sutley, George A. Desborough, and Paul Briggs. Sequential extractions are utilized to investigate the mode of occurrence of metals in mine wastes.
The Role of Weathering in Trace Metal Redistributions in the May Day Mine Dump near Silverton, Colorado (Vol. II, p. 1501-1509) (PDF file, 182 KB) by Mark R. Stanton. Geochemical and mineralogical analysis of mine waste pile drill core samples were conducted to examine the metal mobility and geochemistry at different depths in an abandoned mine dump.
Multidimensional Spatial Modeling of the May Day Mine Waste Pile, Silverton, Colorado (Vol. I, p. 297-301) (PDF file, 202 KB) by Douglas B. Yager and Mark R. Stanton. 2-D and 3-D models for the May Day mine dump were created by integrating and synthesizing mine-site topography, geophysical data, and geochemical data. The spatial-modeling application was developed to be a visually intuitive tool to aid in mine-waste reclamation.
Imaging Spectroscopy: A New Screening Tool for Mapping Acidic Mine Waste (Vol. II, p. 1531-1539) by Gregg A. Swayze, Kathleen S. Smith, Roger N. Clark, and Stephen J. Sutley Imaging spectroscopy, a remote sensing tool, provides a rapid method to screen entire mining districts for potential sources of surface acid drainage. Imaging spectroscopy is utilized to determine surface mineralogy by airborne sensors, as the surface mineralogy is an indicator of potential acid drainage. Click Here for Related Paper.
Evaluating the Effects of Fluvial Tailings Deposits on Water Quality in the Upper Arkansas River Basin, Colorado: Observational Scale Considerations (Vol. II, p. 1415-1424) (PDF file, 311 KB) by Kathleen S. Smith, Katherine Walton-Day, and James F. Ranville. The potential effects of a fluvial tailings deposit were evaluated using leach tests on surficial and core samples, and by monitoring water quality on both the shallow ground water beneath the tailings deposit and the adjacent Arkansas River.
Natural Versus Mining-Related Water Quality Degradation to Tributaries Draining Mount Moly, Silverton, Colorado (PDF file, 431 KB) by Douglas B. Yager, M. Alisa Mast, Philip L. Verplanck, Dana J. Bove, Winfield G. Wright, and Philip L. Hageman. Geological, hydrological, and geochemical information from the Mineral Creek watershed were synthesized with GIS and analyzed to distinguish between natural and mining-related sources of metals to surface waters.