Skip to main content
Log in

A model for prioritizing sites and reclamation methods at abandoned mines

  • Original Article
  • Published:
Environmental Earth Sciences Aims and scope Submit manuscript

Abstract

Abandoned mines present numerous safety and environmental problems due to altered topography and poor management of mine waste. Few guidelines are available for selecting reclamation methods to address these problems, and many existing decision models lack transparency, leave out important parameters and reclamation methods, and/or lack model calibration. Consequently, a decision model was developed that includes: (1) a mine hazard index for prioritizing sites for reclamation, (2) a reclamation method screening table for narrowing viable reclamation methods, and (3) a reclamation method ranking matrix for ranking the applicability of reclamation methods at a site. These three processes form the abandoned mine decision model, optimized for topographic reconstruction and waste disposal at abandoned mines. The hazard index quantifies geologic and hydrologic hazards using measurable parameters, sub-parameters, and a range of sub-parameter conditions. Main and sub-parameter weighting factors were determined using the analytic hierarchy process and Delphi method. Reconciling differences between initial parameter weighting factors for the two methods resulted in an improved decision-making technique. The decision model was calibrated with 25 abandoned metal mines in the western USA. Mine hazard index thresholds were determined for mines having low, medium, and high priority. The screening table and ranking matrix were effective at narrowing the number of viable reclamation methods. Further validation of the decision model was evident by the implemented reclamation method being among the four highest scoring alternatives 80 % of the time. This model provides a quantitative and transparent process that overcomes the deficiencies found in many existing mine reclamation decision models.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  • Albert EK, Ince E, Mutmansky JM (1991) Fuzzy multiple-criteria decision-making—application to AML project selection. Int J Surf Min Reclam 5(4):167–176

    Article  Google Scholar 

  • Bandopadhyay S, and Chattopadhyay A (1986) Selection of post mining uses of land via fuzzy algorithm. 19th Conference on Applications of Computers and Operations Research in the Mineral Industry, Society of Mining Engineers, Littleton, 321–332

  • Bascetin A (2007) A decision support system using analytical hierarchy process (AHP) for the optimal environmental reclamation of an open-pit mine. J Environ Geol 52:663–672

    Article  Google Scholar 

  • Bezuidenhout JJ, Claassens S, Jansen PJ, van Rensburg L (2009) Rehabilitation of asbestos mining waste—a rehabilitation prioritisation index (RPI) for South Africa. J Environ Geol 57:267–273

    Article  Google Scholar 

  • Black JP, Toy TJ (2000) Topographic reconstruction—the theory and practice. In: Bartels J et al (eds) Reclamation of drastically disturbed lands. ASA Publications, Madison, pp 41–75

    Google Scholar 

  • Brown RW, Sidle RC (1992) Decision model for successful reclamation of disturbed lands. International Symposium on Land Reclamation—Advances in Research and Technology, Nashville, 14–23

  • California Office of Mine Reclamation (2007) Surface mining and reclamation act and associated regulations

  • California Office of Mine Reclamation, Abandoned Mine Lands Unit (2000) California abandoned mines—a report on the magnitude and scope of the issues in the state, Volume II, pp 16-25

  • California Stormwater Quality Association (2009) Stormwater best management practice handbook portal—construction, pp 2-1 to 3-1

  • Colorado Division of Minerals and Geology (2002) Best practices in abandoned mine land reclamation—the remediation of past mining activities

  • Dias MB, Rodriguez A, Rodriguez R, Vigil H (2011) Development of a user-friendly method to assess the present condition of old abandoned mining waste dumps in Asturias (Spain). Int J Min Reclam Environ 25(1):6–31

    Article  Google Scholar 

  • Dutta S, Rajaram R, Robinson B (2005) Mineland reclamation. In: Dutta S, Parameswaran K, Rajaram V (eds) Sustainable mining practices—a global perspective. A. A Blakema Publishers, Leiden, pp 179–191

    Chapter  Google Scholar 

  • Harwood GD, Thames JL (1988) Design and planning considerations in surface-mined land shaping. In: Hossner LR (ed) Reclamation of surface-mined lands, vol I., CRC PressBoca Raton, FL, pp 138–155

    Google Scholar 

  • Hsu C, Sandford BA (2007) The Delphi technique—making sense of consensus: practical Assessment. Res Eval 12(10):1–8

    Google Scholar 

  • Hu Z, Linlin W (2009) Landscape restoration regionalization for resource-exhausted coal mine areas based on GIS. National Meeting of the American Society of Mining and Reclamation, Lexington, pp 1512–1519

    Google Scholar 

  • Interstate Technology & Regulatory Council Website (2010) Mining waste treatment technology section. http://www.itrcweb.org/miningwaste-guidance/decision_tree.htm. Accessed 2 March 2011

  • Klimstra WD, Nawrot JR, and Perkins MP (1983) Potential benefits and hazards of highwalls. Symposium on Surface Mining, Hydrology, Sedimentology and Reclamation, Lexington, 131–137

  • Miller GA (1956) The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychol Rev 63(2):81–97

    Article  Google Scholar 

  • Oregon Department of Geology and Mineral Industries and Washington Division of Geology and Earth Resources (1997) Best management practices for reclaiming surface mines in Washington and Oregon, Open File Reports O-96-2 and 96-2, pp 1.1–6.8

  • Robertson AM, and Shaw SC (1998) Alternatives analysis for mine development and reclamation. 22nd Annual British Columbia Mine Reclamation Symposium, Penticon, BC 51-62

  • Saaty TL, Vargas LG (1991) Prediction, projection and forecasting - Applications of the analytic hierarchy process in economics, finance, politics, games and sports. Kluwer Academic Publishers, Norwell

    Google Scholar 

  • Soltanmohammadi H, Osanloo M, and Aghajani Bazzazi A (2008) Developing a fifty-attribute framework for mined land suitability analysis using AHP-TOPSIS approach. Proceedings of post-mining symposium, Nancy, 1–12

  • Soltanmohammadi H, Osanloo M, Bazzazi AA (2009) Deriving preference order of post-mining land-uses through MLSA framework: application of an outranking technique. Environ Geol 58(4):877–888

    Article  Google Scholar 

  • Soltanmohammadi H, Osanloo M, Bazzazi AA (2010) An analytical approach with a reliable logic and a ranking policy for post-mining land-use determination. Land Use Policy 27(2):364–372

    Article  Google Scholar 

  • Struhsacker DW, and Todd JW (1998) Reclaiming inactive and abandoned hardrock mine lands in the west. National Mining Association, pp 1–37

  • United States Government Accountability Office (2011) Abandoned mines—Information on the number of hardrock mines, cost of cleanup, and values of financial assurances, Statement of Anu K. Mittal, Director Natural Resources and Environment Team, GAO-11-834T

  • US Bureau of Land Management (1992) Solid minerals reclamation handbook: BLM Handbook H-3042-1, (variously paged)

  • US Environmental Protection Agency (1992) Hazard ranking system guidance manual—interim final, pp 21–40

  • US Environmental Protection Agency (2000) Abandoned mine site characterization and cleanup handbook, pp 1–1 to 11–15

Download references

Acknowledgments

The authors would like to thank Dr. John Wakabayashi and Shay Overton for their review comments, which substantially improved the manuscript. We would also like to thank the following individuals who participated in the Delphi Method Survey: Barbara Brandl, David Norman, Fritz Wolff, Jeff Johnson, John Kirk, Maggie Baker, Pat Trainor, Peter Werner, Sam Hayashi, Dr. Stuart Jennings, Dr. Terrence Toy, and Tom Buchta.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Owen E. Kubit.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOC 33 kb)

Supplementary material 2 (DOC 405 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kubit, O.E., Pluhar, C.J. & De Graff, J.V. A model for prioritizing sites and reclamation methods at abandoned mines. Environ Earth Sci 73, 7915–7931 (2015). https://doi.org/10.1007/s12665-014-3949-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12665-014-3949-3

Keywords

Navigation