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Techniques for Predicting Metal Mining Influenced Water

Edited by R. David Williams and Sharon F. Diehl
Published by Society for Mining, Metallurgy & Exploration - 2014
148 pages

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SME eBooks are available in Adobe Digital Editions format. This format can be read on Windows and Mac computers using the free Adobe Digital Editions software, and can be read on many mobile devices with appropriate software, including iPad, iPod, Nook, Sony Reader, and Android devices. For a complete list of compatible devices and software, click here.

Techniques for Predicting Metal Mining Influenced Water is a must-read for planners, regulators, consultants, land managers, researchers, students, stakeholders, and others concerned about mining influenced water.

Identifying potential mine wastes and their characteristics, and predicting their drainage quality are critical aspects of mine site design, operations, and closure planning. Failure to effectively conduct these evaluations for a mine site can result in environmental compliance issues that may create long-term financial liabilities.

The fifth in a series of six handbooks on technologies for management of metal mine and metallurgical process drainage, this book identifies the tools available for characterizing mine and processing wastes that can be useful in predicting drainage quality.

This volume shows how effective and accurate characterization and prediction work will result in a mine-life waste management plan that minimizes the exposure of problematic wastes to the environment.

Written by a team of experts from state and federal governments, academia, and the mining industry, Techniques for Predicting Metal Mining Influenced Water also discusses the importance of accurately assessing the geochemical performance of the processed ore and wastes so they can be effectively managed throughout the active mine life and beyond. This handbook discusses and compares the various tests and conveys solid criteria for evaluating them.


  • Introduction
  • Acid Rock Drainage: Sulfide Mineral Geochemistry Affecting Drainage
  • Prediction Factors
  • Overview of Prediction Methods
  • Evaluation
  • Application and Conclusion
  • Plus Appendixes, Bibliography, and Index

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