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MDAG.COM
MINES, MINING, AND THE ENVIRONMENT







MDAG.com: Since 1997, Providing Valuable Technical Information on Minesite-Drainage Chemistry and Environmental Geochemistry through the Internet

 

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Direct link to the list of published MDAG papers

Direct link to the abstract and Powerpoint presentation for: Morin, K.A. 2016. Fractal 1/f temporal trends in minesite drainage from waste-rock dumps. IN: 14th Experimental Chaos and Complexity Conference, May 16-19, Banff Center, Banff, Canada


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MDAG Case Study 42. Dynamic Geochemical Tension (DGT). What is it?  What generates it?  Why is it important?  How does it affect aqueous chemistry?  Does it represent Self-Organized Criticality (SOC) and offer an explanation for fractal 1/f slopes in minesite-drainage chemistry?  Most curious of all - why is it like a pendulum?


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Linking the science of minesite-drainage chemistry (MDC) to other sciences is important for many reasons.  One link that MDAG has made is fractal 1/fα slopes in power spectra of MDC time series.  However, this can only be done with certain MDC databases.  These issues, related MDAG documents, and more are discussed in The Importance of Fractal 1/f Slopes for Minesite Drainage.


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What is nonlinear science? As one researcher explained, "When asked this question at a cocktail party, I often paraphrase Aristotle, saying that nonlinear science is the study of those dynamic phenomena for which the whole differs from the sum of its parts...". There is no doubt that minesite-drainage chemistry is full of nonlinearity. Case Study 41 (Nonlinear Science of Minesite-Drainage Chemistry. 1 - Scaling and Buffering) discusses the first two examples: scaling and buffering.

Nonlinear aspects of scaling are attributable to exceeding the scale transition at relatively small scales and the concomitant change from kinetic (more-or-less linear) to equilibrium (non-linear with scale) conditions.

Nonlinear aspects of buffering are attributable to aqueous and solid-liquid interactions that restrict pH and pH-dependent aqueous concentrations to narrow ranges in a stepwise manner.


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We have had the opportunity to collaborate recently with Dr. Getnet Betrie on minesite-drainage chemistry.  He has applied machine learning, uncertainty-quantification techniques, and imputation methods for estimating missing data in monitoring databases, discovering interesting results.  The published papers are listed here, including two recent papers on ARD risk assessment under uncertainty.  Dr. Betrie is currently at Argonne National Laboratory in the USA.


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Interested in minesite-drainage chemistry, but not sure where to start? Looking for a basic introduction with dozens of colour photographs from minesites around the world?

MDAG Publishing has released an ebook by Dr. Kevin Morin, entitled Minesite Drainage Chemistry: An Introduction. This printable ebook in PDF format can be read on many ebook readers, laptops, and desktops. It costs CAD$5.00, can be downloaded immediately after online payment, and contains no digital-rights management or security limitations.

Click here, and then click the first link for the ebook.

We have also published many papers at conferences and journals, as well as Internet case studies and another book here at MDAG.com.
 


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We steadfastly believe that the environmental effects of drainage chemistry can only be understood, predicted, and moderated by thoroughly understanding past competent work and by carefully studying existing operations and sites. Heed the old words of wisdom: "Those who ignore the past are doomed to repeat it". Is that why we hear that up to 90% of predictions of minesite-drainage chemistry are too low, leading to unexpected costs and environmental effects for mining companies?  This is why we heavily emphasize real case studies with abundant data, followed by theory and modelling in subordinate roles.

 

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