Techniques for predicting metal mining influenced water / edited by R. David Williams & Sharon F. Diehl.
Series: Management technologies for metal mining influenced water ; Volume 5Publisher: Englewood, Colorado : Society for Mining, Metallurgy & Exploration, 2014Description: x, 137 p. : ill. ; 26 cmISBN:- 9780873353540 (print : alk. paper)
- 628.16832 23 TEC
Item type | Current library | Call number | Copy number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
Book Closed Access | Engineering Library | 628.16832 TEC 1 (Browse shelf(Opens below)) | 1 | Available | BUML23101641 |
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628.16832 MIN 1 Mine pit lakes : characteristics, predictive modeling, and sustainability / | 628.16832 SAM. 1 Sampling and monitoring for the mine life cycle / | 628.16832 SMA 1 Small-scale mining, rural subsistence and poverty in West Africa / | 628.16832 TEC 1 Techniques for predicting metal mining influenced water / | 628.4 HOR 1 Recycling textile and plastic waste / | 628.4 WAS 1 Waste management and the environment V / | 628.4 WAS 1 Waste management and the environment IV / |
Contents
chapter 1: Introduction
Objectives
Acid drainage technology initiative - metal mining sector
Acid rock drainage predictive approach
Relevance of ARD source
etc.
Chapter 2: Acid rock drainage: Sulfide mineral geochemistry affecting drainage
Acid generation
Acid neutralization
trace metal release by metal sulphide oxidation
etc.
Chapter 3: Prediction factors
Geologic, lithologic, and alteration considerations
Geo-environmental models
Analytical techniques for mineralogical investigations
Field measurements
etc.
Chapter 4: Overview of prediction methods
Static test methods
Short term leach tests
Field leach tests
Kinetic test methods
Data management
Chapter 5: Evaluation
Static tests
Short term leach tests
Field leach tests
Kinetic tests
etc.
Chapter 6: Application and conclusion
Reporting predictive results
Conclusion
Includes bibliographical references . _ Index : p. 133-137
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