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CLU-IN Studio
United States Environmental Protection Agency
Hardrock Mining Geochemistry and Hydrology, Workshop 1
Sponsored by: EPA Office of Research and Development
Original Time/Date of Presentation:

February 13, 2013, 1:00 PM - 3:00 PM, EST (18:00-20:00 GMT)

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Presentation Overview:

Lecture 1 - Mine Rock Characterization Tools and Methodologies Used to Predict the Potential for Acid Rock Drainage and Metal Mobility
Presenter: Dr. Ann Maest (Stratus Consulting)
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Download Slides: 16.1MB/PPT Download Slides in Microsoft PowerPoint Format | 8MB/Color PDF Download Slides in Adobe Acrobat Format | 5.7MB/B&W PDF Download Slides in Adobe Acrobat Format

The presentation will discuss current practices to characterize mine rock mined materials for purposes of predicting acid rock drainage/metal leaching. Specific topics covered include:


  1. Overview of interrelationships between geochemical characterization, modeling, and mine management.
  2. Geochemical characterization approaches.
    • Static tests - when to use and pros/cons of most common tests.
    • Kinetic tests - when to use and pros/cons of most common tests.
  3. Interpretation and use of geochemical characterization data; method uncertainties.
  4. Resources available for further information on the topics covered.

Lecture 2 - Predicting and Modeling Water Chemistry Associated with Hardrock Mine Sites
Presenter: Dr. D. Kirk Nordstrom (U.S. Geological Survey)
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Download Slides: 16.9MB/PPT Download Slides in Microsoft PowerPoint Format | 33MB/Color PDF Download Slides in Adobe Acrobat Format | 11MB/B&W PDF Download Slides in Adobe Acrobat Format

Specific topics covered during this lecture include:

  1. Introduction to geochemical modeling: models, codes, prediction, modeling pyrite oxidation.
  2. Types of geochemical modeling: equilibrium speciation, mass transfer, reactive-transport, transient-state.
  3. Input data and output (GIGO): Thermodynamic, kinetic, and field data.
  4. Some examples and applications.
  5. Confidence in modeling results: issue of validation and verification.
  6. Modeling guidelines: Issues regulators should know and questions regulators should ask when reviewing modeling efforts.
  7. Resources and references available for further information on the topics covered.

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