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Minesite Drainage Assessment Group

MDAG.com: Online Since 1997
**** Online for A Quarter Century ****
Providing Valuable Technical Information on Minesite Drainage,
and on the Environmental Geochemistry of Highly Reactive Geologic Materials



The latest MDAG Publication is:

#99. Morin, K.A. 2022. A plausible explanation for common fractal temporal-spectral slopes of drainage flows and chemistries at full-scale mining operations. European Geosciences Union EGU General Assembly 2022, Vienna, Austria, 2327 May 2022, Presentation EGU22-6840. doi: 10.5194/egusphere-egu22-6840. Note: both the shorter presentation and the expanded display-materials version are available.


The latest MDAG Case Studies are:

73. Increasing Errors in ARD Prediction by Assuming Non-Extractable "Insoluble Sulphur" is a Real Sulphur Species and Excludes Acid-Generating Sulphur

72. Up Close and Personal with an ARD Celebrity: Acidithiobacillus ferrooxidans

71. The Complex Three-Phase Effects of Humidity on Small-Scale Water Films and Reactive Mineral Surfaces

70. A Graphical Depiction of Integrated Energy Balance, Interactions, and Contributing Mechanisms-Processes for Open Environmental Systems like Minesite Components, Version 1

69. Siderite Correction Can Substantially and Erroneously Overestimate Effective Neutralization Potential and Underestimate ARD Risk

68. The Rapid Evolution of Machine Learning Applied to Minesite-Drainage Chemistries and Flows

67. Diffusion-Dominated Flux of Poregases and Aqueous Ions in Minesite Components - Commonly Modelled but Rarely Applicable Because Realistic Fluxes are Much Faster

66. Pondering the Role of Quartz in Rock Reactivity, ML-ARD, and Minesite-Drainage Chemistry

65. Thermodynamics - Not Designed for Minesite Components and Their Drainages


The third generation of MineWall, Version 3.0, has been released. Originally developed for the Canadian MEND Program with approximately 700 pages of documentation, the MineWall model simulates open pits and underground mines during active dewatering (operation), during transient flooding and geochemical flushing after dewatering is stopped (short-term closure), and after a stable water level has been established (long-term closure). This model includes the geochemical effects of fractured mine walls and of any granular material (like tailings and waste rock) present in or backfilled into the mine. MineWall 3 can be downloaded for free, starting here.


Five technical books on minesite drainage and highly reactive geologic materials are available here at MDAG.com, free of charge.

1) Wavelet Transforms of Drainage from Highly Reactive Geologic Materials; ISBN 978-0-9952149-3-4

2) Searching for Latent Variables in Minesite Drainage Using Exploratory Factor Analysis; ISBN 978-0-9952149-2-7

3) Spectral Analysis of Drainage from Highly Reactive Geologic Materials; ISBN 978-0-9952149-1-0

4) Environmental Geochemistry of Minesite Drainage: Practical Theory and Case Studies; ISBN 0-9682039-1-4

5) Minesite Drainage Chemistry: An Introduction; ISBN 978-0-9952149-0-3


We have also published and co-published 99 informative papers at conferences and in journals.


Adverse environmental effects can arise from water draining over and through highly reactive materials, such as mining wastes. We steadfastly believe that these adverse effects can only be understood, predicted, moderated, and remediated reliably by thoroughly understanding past competent work and by carefully studying full-scale sites.

Heed the old words of wisdom "Those who ignore the past are doomed to repeat it" or perhaps some newer ones "we learn from the mistakes of the past how to make new ones". Is that why we hear that up to 90% of predictions of minesite-drainage chemistry are too low, and remain too low for newer minesites, leading to unexpected costs and adverse environmental effects for mining companies and taxpayers?  The public is starting to pay closer attention to these errors and unexpected costs, with mining companies losing credibility.  This is why we at MDAG heavily emphasize real case studies with abundant data, followed by theory and modelling in subordinate roles.


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Created by K. Morin