E3S Web Conf.
Volume 18, 2017Mineral Engineering Conference MEC2017
|Number of page(s)||8|
|Published online||04 October 2017|
Physical chemical characterization of historical mining waste and ARD prediction tests
1 Research and Development National Institute for Metals and Radioactive Resource, 70, Carol I, Bvd, Bucharest, Romania
2 Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Porsön, University area, Luleå Sweden
3 University of Porto, Engineering Faculty, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
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There are thousands of historical mine tailings and metallurgical residues present on inactive metal mining sites which have been abandoned. However, the potential release of dissolved metals, acidity, or suspended particulates from mine-waste dumps can be a serious and long-lasting problem. A variety of environmental impacts may occur at this abandoned mine sites and leading the list is acid generation, which is one of the main problems from metal mining. The objective of the present study was to characterize and evaluate the Romanian historical tailing of Sasar-Red Valley, near Baia Mare. This involved physical and chemical characterization of the materials and its acid generating potential. Sasar tailing impoundment contains 8.5 million m3 of tailings and occupies an area of 32.5 hectares. Tailings samples were collected from different depths in three sampling points, and characterized by grain size, chemical elements concentration, elements distribution of elements in depth, paste pH, acid-base account and net acid generation tests. Acid base accounting (ABA) tests in conjunction with net acid generation (NAG) tests classified the samples into the category of ‘potentially acid generating’. This paper presents a synthesis of works performed in the Improve Resource Efficiency and Minimize Environmental Footprint (REMinE) project.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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