AccScience Publishing / AJWEP / Volume 15 / Issue 2 / DOI: 10.3233/AJW-180026
RESEARCH ARTICLE

Comparing Two Methods of PROMETHEE and Fuzzy  TOPSIS in Selecting the Best Plant Species for the  Reclamation of Sarcheshmeh Copper Mine

Arash Ebrahimabadi1* Mahdi Pouresmaieli2 Alireza Afradi1 Esmaeil Pouresmaeili1 Sahand Nouri3
Show Less
1 Department of Mining, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran
2 Mining and Metallurgical Department, Amirkabir University of Technology, Tehran, Iran
3 Department of Geology, Faculty of Science, Maragheh Branch, Islamic Azad University, Maragheh, Iran
AJWEP 2018, 15(2), 141–152; https://doi.org/10.3233/AJW-180026
Submitted: 3 September 2017 | Revised: 19 February 2018 | Accepted: 19 February 2018 | Published: 11 May 2018
© 2018 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

Mining affects the environment around the extracted area negatively. As a result, it is vital to rehabilitate  mines and reclamate the region to its former natural condition or use the land in an optimized way. The choice  of herbal types and planting them to conserve the natural environment of the region and reclamating the mine  is of utmost importance. When a case study was conducted in Sarcheshmeh copper mine which is one of the 10  biggest copper mines of the world, plant species were selected according to the initial factors of the rehabilitation  scheme, climatic conditions and soil conditions. Then, secondary factors were identified and decision matrices that  are based on questionnaires completed by experts, plant species based on regional perspective criteria, resistance  to disease and insects, their strength and development, access to the plant species, economic efficiency, soil  conservation and water saving, prevention of various types of contamination were all classified according to the  multi-criteria decision making methods. It is worth saying that the weights of the criteria are compared with the  use of PROMETHEE and Fuzzy TOPSIS methods. The best plant species in the mining area and tailing dam  prioritized by PROMETHEE method are mountain almonds (2.28), tamarisk (1.44), ephedra (0.55), pistacia (0.44),  Astragalus (–2.22), and salsola (–2.48).

Keywords
PROMETHEE
Fuzzy AHP
Fuzzy TOPSIS
mountain almond
Conflict of interest
The authors declare they have no competing interests.
References

Akbari,A.D., Osanloo, M. and H. Hamidian (2007). Selecting post mining land use through analytical hierarchy processing method: Case study in Sungun copper open pit mine of Iran.

Alavi, I., Alinejad, R.H. and M. Sadegh Zadeh (2011). Prioritizing Crescive Plant Species in Choghart.

Alavi, Iraj, Akbari, Afshin and M. Parsaei (2010). Selection of plant species suitable for reclamation of Sarcheshmeh copper mine using Fuzzy AHP method. Amirkabir University of Technology. Quarterly Journal of Mining Engineering, 25, 10-17.

Albadavi, A., Chaharsooghi, S.K. and A. Esfahanipour (2007). Decision making in stock trading: An application of PROMETHEE. European Journal of Operational Research, 177: 673-683.

Alexander, M.J. (1996). The Effectiveness of Small-scale Irrigated Agriculture in the Reclamation of Mine Land Soils on the Jos Plateau of Nigeria. Land Degradation and Development, 7: 77-85.

Bangian, A.H. and M. Osanloo (2008). Multi Attribute Decision Model for Plant Species Selection in Mine Reclamation Plans: Case Study Sungun Copper Mine, Post-Mining, February 6-8, Nancy, France.

Behzadian, M., Kazemzadeh, R.B., Albadvi, A. and M. Aghdasi (2009) . PROMETHEE: A comprehensive literature review on methodologies and applications. European Journal of Operational Research, 200(1): 198-215.

Bogdanovic, D., Nikolic, D. and I. Ilic (2012). Mining method selection by integrated AHP and PROMETHEE method. Anais da Academia Brasileira de Ciências, 84(1): 219-233.

Brans, J. and B. Mareschal (2005). PROMETHEE method. In: Multiple Criteria Decision Analysis: State of the Art Surveys. Springer, New York.

Brans, J.P. and P.A. Vincke (1985). Preference ranking organisation method: The PROMETHEE method for MCDM. Management Science, 31(6): 647-656.

Cairns, J. (1982). Ecological Considerations in Reclaiming Surface Mined Lands. Minerals and the Environment, 1: 83-89.

Carrick, P.J. and R. Kruger (2007). Restoring Degraded Landscapes in Lowland Namaqua-land: Lessons from the Mining Experience and from Regional Ecological Dynamics. Journal of Arid Environments, 32: 52-67.

Chen, C.T. (2000). Extensions of the TOPSIS for Group Decision Making Under Fuzzy Environment. Fuzzy Sets Syst., 114: 1-9.

Chou, T.Y., Lin, W.T., Lin, C.Y., Chou, W.C. and P.H. Huang (2004). Application of the PROMETHEE technique to determine depression outlet location and flow direction in DEM. Journal of Hydrology, 287: 49-61.

Coppin,N.J. and A.D. Bradshaw (1982). Quarry Reclamation: The Establishment of Vegetation in Quarries and Open Pit Nonmetal Mines. Mining Journal Books Ltd., London, England.

Errington, J.C. (2001) . Mine Reclamation in British Columbia—Twenty-five Years of Progress. 25th Annual British Columbia Mine Reclamation Symposium, Campbell River, BC.

Halouani, N., Chabchoub, H. and J.M. Martel (2009) . PROMETHEE-MD-2T method for project selection. European Journal of Operational Research, 195: 841-849.

Haque, N., Peralta-Videa, J.R., Duarte-Gardea, M. and J.L. Gardea-Torresdey (2009). Differential effect of metals/ metalloids on the growth and element uptake of mesquite plants obtained from plants grown at a copper mine tailing and commercial seeds. Bioresource Technology, 100: 6177-6182.

Hwang, C.L. and K. Yoon (1981) . Multiple Attributes Decision Making Methods and Applications. Springer, Berlin.

Iron Mine Desert Region (Used method: Fuzzy AHP). Australian Journal of Basic and Applied Sciences, 5(12): 1075-1078.

Macharis, C., Springael, J., Brucker, K.D. and A. Verbeke (2007). PROMETHEE and AHP: The design of operational synergies in multicriteria analysis—Strengthening PROMETHEE with ideas of AHP. European Journal of Operational Research, 153: 307-317.

Mohaghar, A. and A. Mostafavi (2007). A Model for Selecting a Project Group Using a Fuzzy Approach. Human Sciences MODARES, 44(3).

Momeni, Mansour (2008) . New Issues in Operations Research. University of Tehran Press.

Niknafs, A., Moghaddam, N., Hosseini Nasab, S.M. and A. Niknafs (2010). Towards a Self Regulating Process of Pairwise Comparison in AHP. IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent.

Omidi, Marjan,Razavi, Hamideh Mahpeykar and Mohammad Reza (2011). Selection of project team members based on PROMETHEE method of effectiveness criteria. Journal of Industrial Management Perspective, 1: 113-134.

Osanloo, M. and M. Parsaei (2003). Reclamation of the Sarcheshmeh Copper Mine. Conference on Safety in Mines.

Osanloo, M. and M. Parsaei (2004). Sarcheshmeh Copper Mine Reclamation. Proceeding of Safety Congress, Iran.

Osanloo, Morteza (2001). Mine Reclamation. Amir Kabir University of Technology, Tehran.

Paschke, M.W., Redente, E.F. and S.L. Brown (2003). Biology and Establishment of Mountain Shrubs on Mining Disturbances in the Rocky Mountains, USA. Land Degradation and Development, 14: 459-480.

Pooya, Alireza Alavi Tabari, Seyed Javad and Sibuyeh Ali (2012). Choose layout planning using the combined approach PSI-PROMETHEE . Third specialized management and production management conference. 3 and 4 February 2012, Faculty of Management, University of Tehran.

Redente, E.F. and D.A. Baker (1996). Direct revegetation of mine tailings—A case study in Colorado. In: Planning, Rehabilitation and Treatment of Disturbed Lands. Billings Symposium, 1996.

Saaty, T.L. (1980) . The Analytical Hierarchy Process: Planning, Priority. RWS Publication.

Safari, H., Fagheyi, M.S., Ahangari, S.S. and M.R. Fathi (2012). Applying PROMETHEE Method based on Entropy Weight for Supplier Selection. Business Management and Strategy, 3(1): 97-106.

Soltanmohammad, H., Osanloo, M., Rezaei, B. and A. Aghajani Bazzazi (2008). Achieving to some outranking relationships between post mining land uses through mined land suitability analysis. International Journal of Environmental Science and Technology, 5(4): 535-546.

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

Tafi, T.C., Neuman, D., Wraith, J. and J. Fedock (2006). Reclamation Effectiveness at Three Reclaimed Abandoned Mine Sites in Jefferson County, Montana. Thesis for Master of Science in Land Rehabilitation, Montana State University, Bozeman, Montana.

Taherkhani, Mahdi (2007). Application of TOPSIS technique in the spatial priority of the establishment of the agricultural transformation industry in rural areas. Iranian Journal of Economic Research, 6(3): 59-73.

Xia, L.U., Zhen-qi, H.U., Wei-jie, Liu and Xiao-yan Huang (2007) . Vegetation Growth Monitoring Under Coal Exploitation Stress by Remote Sensing in the Bulianta Coal Mining Area, Institute of Land Reclamation and Ecological Restoration, China University of Mining & Technology, Beijing. J China Univ Mining & Technol, 17(4): 0479-0483.

Zadeh, L.A. (1965). Fuzzy Sets. Inf Control, 8: 338-353.

Zak, J. and H. Sawicka (2010). Application of MCDM/A Methods to Ranking Different Variants of the Distribution System. 12th WCTR, Lisbon, Portugal, July 11-15.

Share
Back to top
Asian Journal of Water, Environment and Pollution, Electronic ISSN: 1875-8568 Print ISSN: 0972-9860, Published by AccScience Publishing