A New Technical and Economic Approach to Aptimal Plant Species Selection for Open-pit Mine Reclamation Process | ||
| Journal of Mining and Environment | ||
| مقاله 11، دوره 13، شماره 4، دی 2022، صفحه 1091-1105 اصل مقاله (2.26 M) | ||
| نوع مقاله: Original Research Paper | ||
| شناسه دیجیتال (DOI): 10.22044/jme.2023.12267.2226 | ||
| نویسندگان | ||
| Iraj Alavi1؛ Arash Ebrahimabadi* 2؛ Hadi Hamidian1 | ||
| 1Department of Mining and Geology, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran | ||
| 2Department of Petroleum, Mining and Material Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran | ||
| چکیده | ||
| Estimating the costs of mine reclamation is a significant part of mine closure projects. One approach to mine reclamation is planting mine areas. In this approach, the optimum selection of plant types is cosidered a multiple-criteria decision-making (MCDM) problem. Once proper plant species are identified, it is required to estminate planting costs through statistical analysis. This work aims to introduce an algorithm for optimal plant type selection and a reclamation cost estimation model for open-pit mines. To this end, the plant species compatible with the sorrounding areas of Sungun copper mine are identified and ranked using the PROMETHEE technique. In this analysis, the main criteria are local landscape, pest resistance, plant growth ability, availability, economic issues, soil protection, water storage ability, and pollution prevention. Among the six plant types, Maple trees have the highest score (4.34). After that, to develop the reclamation cost estimation model, the data (99 datasets) is collected from the Sungun copper mine, Sarcheshmeh copper mine, and Chadormaloo iron mine. The variables in the database include soil gradation by graders, slope trimming and topography by bulldozers, the ripping and softening of the compacted soil, chemical fertilizers, natural fertilizers and mulch and biosolid, lime soil pH adjustment, herbicide, seedling, tree planting, workers and drivers, and fuel and maintenance. Regression analysis is performed to analyze the data, and a reclamation cost estimation model is developed with high accuracy (R2 = 0.78). On the whole, this study proposes an innovative, step-by-step, technical, and economic approach to the optimal selection of plant species, and presents a reclamation cost estimation model so as to promote the open-pit mine reclamation process. | ||
| کلیدواژهها | ||
| Cost Estimation؛ Mine Reclamation Statistical Analysis؛ Sungun Copper Mine؛ PROMETHEE Method | ||
| مراجع | ||
|
[1]. Emilsson, G.R. and Freshman, Ch. (2008). Remedial and reclamation cost estimating for large metal mine sites, Proceedings America Society of Mining and Reclamation, 378-388.
[2]. Lemoine, G. (2016). Brownfeld restoration as a smart economic growth option for promoting ecotourism, biodiversity, and leisure: two case studies in Nord-Pas de Calais. In Prasad MNV. editor: Bioremediation and bioeconomy. Amsterdam. Elsevier. 361–388.
[3]. Minaei Mobtaker, M. and Osanloo, M. (2013). Prediction of iron ore mine closure causes under uncertainty conditions, using Vikor technique, In: 6th International Conference on Sustainable Development in the Mineral Industry, Milos Island, Greece, 30 June-3 July.
[4]. Stacey, J., Naude, A., Heranus, M., and Frankdel, P. (2010). The socio-economic aspects of mine closure and sustainable development-guideline for the socio-economic aspects of closure: Report 2. J. South. Afr. Inst. Min. Metall (SAIMM). 110: 395-413.
[5]. Unger, C.J., Lechner, A.M., Kenway, J., Glenn, V., and Walton, A. (2015). A jurisdiction maturity model for risk management, accountability and continual improvement of abandoned mine remediation programs. Resour. Pol. 43, 1-10.
[6]. Venkateswarlu, K., Nirola, R., Kuppusamy, S., Thavamani, P., Naidu, R., and Meghraj, M. (2016). Abandoned metalliferous mines: ecological impacts and potential approaches for reclamation. Rev. Environ. Sci. Biotechnol. 15: 327- 354.
[7]. Favas, P.J.C. (2017). A reclamation procedure scheme of abandoned mine sites: a conceptual model, In Proceedings of the 17th international multidisciplinary scientifc GeoConference (SGEM 2017), Geo Conference on ecology, economics, education and legislation, Albena. STEF92 Technology Ltd. (in press).
[8]. Amirshenava, S. and Osanloo, M. (2018). Mine closure risk management: An integration of 3D risk model and MCDM techniques. Journal of Cleaner Production. Vol. 184: 389-401.
[9]. Amirshenava, S. and Osanloo, M. (2021). Mined Land Suitability Assessment: A Semi-Quantitative Approach based on a New Classification of Post-Mining Land Uses. International Journal of Mining, Reclamation and Environment. Published online. DOI: 10.1080/17480930.2021.1949864.
[10]. US Environmental Protection Agency (2021). | US EPA. https://www.epa.gov/ (accessed Sep. 03).
[11]. Cheng, L. and Skousen, J.G. (2017). Comparison of international mine reclamation bonding systems with recommendations for China. Int J Coal Sci Technol. 4 (2):67–79.
[12]. Krzyszowska Waitkus, A. (2022). Sustainable reclamation practices for a large surface coal minein shortgrass prairie. semiarid environment (Wyoming, USA): case Study. International Journal of Coal Science & Technology. 9: 32.
[13]. Sassoon, M. (2009). Financial Surtey: Guidelines for the Implementation of Financial Surety for Mine Closure. Extractive Industries for Development Series #7. The World Bank. Accessed online: https://openknowledge.worldbank.org/handle/10986/18386.
[14]. Jafarpour, A. and Khatami, S. (2021). Analysis of Environmental Costs. Effect in Green Mining Strategy Using a System Dynamics Approach: A Case Study. Mathematical Problems in Engineering. Published online.
[15]. Baidowi, N., Rosyidi, C.N., and Aisyati, A. (2021). A Cut-Off Grade Optimization Model in Open Pit Mining Considering Reclamation Cost and Revenue, IOP Conference Series: Materials Science and Engineering, DOI: 10.1088/1757-899x/1096/1/012021.
[16]. Kaźmierczak, U., Malewski, J., and Strzałkowski, P. (2019). The concept of forecasting the reclamation cost in rock mining. Gospodarka Surowcami Mineralnymi/ Mineral Resources Management. Vol. 35. No. 4. 163-176.
[17]. Nourali, H. and Osanloo, M. (2019b). Mining capital cost estimation using Support Vector Regression (SVR). Resources Policy. Vol. 62: 527-540.
[18]. Nourali, H. and Osanloo, M. (2020). A regression-tree-based model for mining capital cost estimation. International Journal of Mining, Reclamation and Environment. Vol. 34. No. 2: 88-100.
[19]. Nourali, H. and Osanloo, M. (2019). A new cost model for estimation of open pit copper mine capital expenditure. International Journal of Engineering. Transactions B: Applications, Vol. 32. No. 2: 184-191.
[20]. Esch, M. (2016). Hydroelectric engineers fnd potential in centuries-old mine. https://phys.org/news/2016-12-hydroelectricpotential-centuries-old.html.
[21]. Isermann, K. (1994). Agriculture's share in emission of trace gases affecting the climate and some cause oriented proposals for sufficiently reducing this share. Environmental Pollution. 83: 95-111.
[22]. Parshley, J.V. (2009). An Evolution of the Methods for and Purposes of Mine Closure Cost estimating, Prepared for British Columbia Mine Reclamation Symposium, BCTRCT, Vancouver, Canada.
[23]. Brodie, J. (2013). Considerations in mine reclamation costing, prepared for British Columbia Mine Reclamation Symposium, BCTRCT, Vancouver, Canada, Retrieved February 5th.
[24]. Catlett, L. and Boehlje, M. (1979). Strip-Mine Reclamation Laws and Regional Cost Implications. Journal of Agricultural and Applied Economics. Vol. 11. No. 1: 157-161.
[25]. OSMRE (Office of Surface Mining Reclamation and Enforcement). (2000). Handbook for calculation of reclamation bond amounts, Accessed online: https://www.osmre.gov/LRG/docs/directive882.pdf.
[26]. Mchaina, D.M. (2001). Environmental Planning Considerations for the Decommissioning, Closure and Reclamation of a Mine Site. International Journal of Surface Mining. Reclamation and Environment. 15 (3): 163-176.
[27]. Carrick, P.J. and Kruger, R. (2007). Restoring Degraded Landscapes in Lowland Namaqua-land: Lessons from the Mining Experience and from Regional Ecological Dynamics. Journal of Arid Environments. Vol. 32: 52-67.
[28]. Akbari, A. D., Osanloo, M., and Hamidian, H. (2007). Selecting post mining land use through analytical hierarchy processing method: case study in Sungun copper open-pit mine of Iran, Proceedings of the Eighteenth International Symposium on Mine Planning and Equipment Selection (MPES 2007), 125-138.
[29]. Sheoran, V., Sheoran, A. S., and Poonia, P. (2010). Soil Reclamation of Abandoned Mine Land by Revegetation: A Review, International Journal of Soil. Sediment and Water. Vol. 3. Iss. 2, Article 13.
[30]. Sullivan, J. and Amacher G.S. (2010). Private and Social Costs of Surface Mine Reforestation Performance Criteria. Environmental Management. 45:311–319.
[31]. Alavi, I. and Alinejad, R.H. (2011). Comparison of Fuzzy AHP and Fuzzy TOPSIS Methods for Plant Species Selection (Case study: Reclamation Plan of Sungun Copper Mine of Iran. Australian Journal of Basic and Applied Sciences. 5 (12):1104-1113.
[32]. Ebrahimabadi, A and Alavi, I. (2013). Plant type selection for reclamation of sarcheshmeh copper mine using fuzzy-TOPSIS approach. Arch. Min. Sci. Vol. 58. No 3: 953–968.
[33]. Mhlongoa Sphiwe, E. and Amponsah-Dacostaa, F. (2016). A review of problems and solutions of abandoned mines in South Africa. International Journal of Mining, Reclamation and Environment. 30(4): 279-294.
[34]. Nehring, M. and Cheng, X. (2016). An investigation into the impact of mine closure and its associated cost on life of mine planning and resource recovery M. 238-239.
[35]. Palogos, I., Galetakis, M., Roumpos, Ch. and Pavloudakis, F. (2017). International Journal of Mining Science and Technology. 27 (2017) 491–498.
[36]. Mavrommatis, E. and Menegaki M. (2017). Setting rehabilitation priorities for abandoned mines of similar mcharacteristics according to their visual impact: The case of Milos Island. Greece. Journal of Sustainable Mining. 16:104-113.
[37]. Paricheh, M. and Osanloo M. (2017). A simulation-based framework for estimating probable open-pit mine closure time and cost. Journal of Cleaner Production. 167: 337-345.
[38]. Ebrahimabadi, A., Pouresmaeili, M., Afradi, A., and Pouresmaeili, E. (2018b). Comparing tow method of promethee and fuzzy topsis in selecting the best plant species for the Sarcheshmeh copper mine. Asian journal of water, Environment and Pollution. Vol. 15. No. 2: 141-152.
[39]. Ebrahimabadi, A., Alavi, I., Batebi, M., and Bibakian, H. (2018). Prioritization of herbal in the choghart iron ore mine reconstruction project by PROMETHEE method and comparison with the result of the Fuzzy TOPSIS method (case study: choghart iron Mine). Revista publicando. 5 NO12. (2): 640-663.
[40]. Ignatyeva, M., Yurak, V., and Pustokhina, N. (2020). Recultivation of post-mining disturbed land: Review of content and comparative law and feasibility study. Resources. Vol. 9. No. 6.
[41]. Amirshenava, S., Osanloo, M., and Esfahanipour, A. (2021). Development of Open-pit Mine Reclamation Cost Estimation Models: A Regression-based Approach. IJE TRANSACTIONS B: Applications Vol. 34. No. 11: 2467-2475.
[42]. Halecki, W. and Klatka, S. (2021). Aplication of Soil Productivity Index after Eight Years of Soil Reclamation with Sewage Sludge Amendments, Environmental Management. 67: 822–832.
[43]. Pujari, V. and Majumdar, S. (2022). Exploring usage of mobile banking apps in the UAE: a categorical regression analysis. Journal of Financial Services Marketing. 27:177–189.
[44]. Yan, J., Du, J., Su, F., Zhao, SH., Zhang, SH., and Feng, P. (2022). Reclamation and Ecological Service Value Evaluation of Coastal Wetlands using Multispectral Satellite Imagery. Wetlands. 42: 20.
[45]. Tang, M., Kong, L., He, SH., Zhang, G., Li, H., and He, L. (2022). Regression modeling for laminar flow of herschel–barkley fluids in the concentric elliptical annulus. Journal of Petroleum Exploration and Production Technology. 12:2419–2428.
[46]. Tomal, J.H., Rahman Khan, J., and Wahed, A. S. (2022). Weighted Bayesian Poisson Regression for The Number of Children Ever Born per Woman in Bangladesh. Journal of Statistical Theory and Applications. 21:79–105.
[47]. Bangian, A.H., and Osanloo. M. (2008). Multi-attribute Decision Model for Plant Species Selection in Mine Reclamation Plans: Case Study Sungun Copper mine, Post-Mining, Nancy, France, 6-8 February.
[48]. Osanloo, M. (2017). Mine reclamation, Third Ed. Amirkabir University of Technology Publication, Tehran, 222p. ISBN: 964-463-09--4 (in Persian).
[49]. Winde, F. and Stoch, E.J. (2010). Threats and opportunities for post-closure development in dolomitic gold-mining areas of the West Rand and Far West Rand (South Africa) – a hydraulic view, Part 2: Opprtunities. Water S.A. 36 (1): 75-82.
[50]. Kodire, A., Hartono, D.M., Haeruman, H., and Mansour, I. (2017). Integrated post mining landscape for sustainable land use: A case study in South Sumatera. Indonesia. Sus. Env. Res. In Press, Corrected Proof.
[51]. Pooya, A., Alavi Tabari, S.J., and Sibuyeh, A. (2012). Choose layout planning using the combined approach PSI-PROMETHEE, Third specialized management and production management conference, 3 and 4 February, Faculty of Management, University of Tehran.
[52]. Macharis, C., Springael, J., De Brucker, K., and Verbeke, A. (2004). PROMETHEE and AHP: The design of operational synergies in multicriteria analysis: Strengthening PROMETHEE with ideas of AHP. European Journal of Operational Research. 153 (2). 307-317.
[53]. Albadvi, A., Chaharsooghi, S. K., and Esfahanipour, A. (2007). Decision-making in stock trading: An application of PROMETHEE. European journal of operational research. 177 (2): 673-683.
[54]. Bogdanovic, D., Nikolic, D., and Ilic, I. (2012). Mining method selection by integrated AHP and PROMETHEE method. Anais da Academia Brasileira de Ciências. 84 (1): 219-233.
[55]. Safari, H., Fagheyi, M.S, Ahangari, S.S., and Fathi, M.R. (2012). Applying PROMETHEE method based on entropy weight for supplier selection. Business management and strategy. 3 (1): 97-106.
[56]. Brans, J.P. and Vincke, P. (1985). Note—A Preference Ranking Organization Method: (The PROMETHEE Method for Multiple Criteria Decision-making). Management science. 31 (6). 647-656.
[57]. Omidi, M., Razavi, H., and Mahpeykar, M.R. (2011). Selection of project team members based on PROMETHEE method of effectiveness criteria. Journal of Industrial Management Perspective. 1: 113-134.
[58]. Bangian, A. H., Ataei, M., Sayadi, A.R. and Gholinegad A. R. (2011). The Application of Fuzzy MADM Modeling to Define Optimum Post Mining Land Use for Pit Area to Recognize Reclamation Costs in Open-pit Mining, Archives of Mining Science56 (1):91–116.
[59]. Bangian, A.H., Ataei, M., Sayadi, A.R. and Gholinegad A.R. (2011). Fuzzy analytical hierarchy processing to define optimum post mining land use for pit area to clarify reclamation costs, Mineral resources management (Gospodarka surowcami mineralnymi), 56 (2):145-168.
[60]. Hajkazemiha, N., Monavari, M. and Ataei M. (2021). Evaluation of Mine Reclamation Criteria using Delphi-Fuzzy Approach, Journal of Mining and Environment. 12 (2): 367-384. | ||
|
آمار تعداد مشاهده مقاله: 317 تعداد دریافت فایل اصل مقاله: 461 |
||