Prioritizing the Reclamation Criteria during Mines Closure (Golgohar, Sangan, Chadormalu Iron Mines)

Document Type : Research Paper

Authors

1 PhD.stud. School of Environment & Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Prof. School of Environment & Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran

3 Asst.prof. School of Environment & Energy, Science and Research Branch, Islamic Azad University, Tehran, Iran

4 Prof. Shahrood University of Technology, School of Mining, Petroleum & Geophysics Engineering, Semnan, Iran

Abstract

Introduction
Development of natural resources and mining activities are prerequisite for economic and industrial growth in many countries. In many cases, such mining areas lie within residential or agricultural lands or natural habitats intensifying the contradiction between land use and environmental protection.
Different components of mining activities including exploration, extraction and processing impose extensive physical, chemical and biological changes on the environment due to nature and characteristics of the activities.
Nowadays, mine owners are strongly urged to do their activities in line with environmental standards and regulations. Therefore, in the contemporary world with increasing knowledge of environmental impacts of projects, development of mining industries must be accompanied with more comfort and welfare, effective and continual protection of the environment and of human and financial resources. Implementation of environmental management for mines to minimize the adverse effects of mining activities and mining wastes on the environment as well as planning for reclamation of mine sites after completion of mining activities is of great importance.
 
Materials & Methods
Reclamation and Environmental Characteristics
In general reclamation refers to the activities carried out for the preparation of mined out lands for re-use and rehabilitation of the lands. Such activities do not necessarily restore the land to its former or original form and conditions (prior to mining) but to return the land affected to a condition and productive use as similar as to its pre-mining condition. Reclamation activities cover different parts of mining area including pit, waste dumps and tailing dams. In fact, reclamation is not considered as an activity separate from design, planning and mining, but it is regarded as part and component of mining activity, which begins from design and planning stage and continues to mining stage
The major objectives of mine reclamation are risk mitigation and safety enhancement, rehabilitation of lands (affected by mining activities) and water resources, environmental impact mitigation, ensuring the protection of environmental and socio-economic resources of the area after completion of mining activities and creating new land-uses and stimulating the proper use of energy resources and ensuring sustainable exploitation of mines.
In this research, Golgohar, Sangan and Chadormalu, the three largest iron mines in Iran, located in Sirjan, Khaf and Bafgh respectively, were selected for definition of reclamation criteria. These three large mining-industrial complexes are located in arid warm regions with similar ecosystems.  
Study Areas
Golgohar Mine
Golgohar deposit in the form of six separate anomalies lies in Kerman province at longitude 55° 19′ E, and latitude 29° 7′ N. Golgohar orebody is located over an elevated pastureland within a semi-arid area surrounded by mountains with an elevation over 2500m. There is no perennial stream over the area. Dry and arid climate have caused extensive fluctuation in temperature during different seasons and during daytime and nighttime.
Sangan Mine
Sangan iron ore mine lies in Khorasan-e Rasavi province, Khaf town at longitude 60° 16′ E and latitude 34° 24′ N with three anomalies. The project site is located over a semi-arid area with warm and dry climate predominantly.
Chadormalu Iron Mine    
Chadormalu Mine lies in Yazd province, at latitude 32° 17′ N, and longitude 55° 30′ E. Due to vicinity to Markazi and Lut Deserts, the area has warm and dry climate with an average temperature of 20.8°c.
Methodology
As it mentioned, three large iron mines in Iran named Golgohar, Sangan and Chadormalu were selected for this research. Since the reclamation criteria were qualitative, using mathematic models was impossible, and to utilize the collective opinions and existing experiences, Multi-Criteria Decision-Making system and Fuzzy Delphi Analytical Hierarchy Process (FDAHP) were used.  Reclamation criteria were defined based on the studied documents, type of ecosystem of the study area, and advice of mining and environmental specialists and executives. 40 criteria and sub-criteria were defined and tabulated for collection of the opinions of professors and specialists in three categories including natural, social and economic environments as bellows:
A)                Natural Environment including:
 





Sub-Criteria


Criteria




Slope and land relief


Topography and Landform




Density, composition, economic value, medicinal value, cultivation method and final land use


Vegetation




Drainage pattern, quality and quantity


Water




Precipitation, temperature, wind and humidity


Climate




Texture, water retention in soil, pH, organic matter percentage, nutrient percentage, physical and chemical properties, fertility, soluble and erosion


Soil




Remoteness from residential areas, protected areas, sensitive ecosystems and historical heritage, former land uses, access roads and extent of destructed land


Mine Location





 
B)                 Social Environment including: native inhabitants, immigration, land ownership, employment, values of inhabitants’ properties, safety, sanitation and health
C)                 Economic Environment including: losing jobs, income, improvement of individual skills, and cost
After collecting the completed criteria tables, the required data were extracted and the criteria were prioritized based on Delphi Fuzzy Methods. 
 
Result &Discussion
20 questionnaires out of the total 30 questionnaires were filled out by experts. The information received through these questionnaires, were extracted, classified and used as the input data for FDAHP method. The Fuzzy pair-wise comparison matrix was computed, and the given value to each criterion was compared between different experts; then the Minimum, Geometric Mean, and Maximum of each criterion were defined. In the next stage, the relative weight of parameters were computed and shown as fuzzy weight and non-fuzzy weight and then, the criteria were classified based on their priority.
Based on conducted investigations, reclamation criteria priority has been shown in below table:
In the next step, considering the frequency and distribution of the criteria, another classification was made in terms of different expert groups and the given preference; and ultimately, 16 criteria were selected out of 40 criteria and sub-criteria with highest preference and priority in iron mine reclamation for the purpose of compilation of reclamation model and instruction. The selected criteria are as follows:
-                      In topography and landform category: slope and relief
-                      In vegetation category: vegetation density and vegetation composition for cultivation
-                      In water category:  water quality and drainage pattern
-                      In climate category: wind blow and precipitation
-                      In soil category: soil erosion and soil pH
-                      In mine location category: extent of destructed area and access roads
-                      In social environment category: indigenous inhabitants of the area, and safety, sanitation and
             health
-                      In economic environment category:  reclamation cost and income
The findings of the research indicate that 16 criteria have priority over other criteria in iron mine reclamation in Iran. The prerequisite for preparation of an executive plan for iron mines reclamation based on the criteria studied in this research depends on mining method, and mine decommissioning and mine closure plan.
Conclusion
Investigations revealed that due to variety and multiplicity of reclamation criteria, Multi-Criteria Delphi-Fuzzy Decision-Making Method could be applied for defining the priorities of the criteria. In this research, 16 sub-criteria were selected out of 40 sub-criteria with the highest preference and priority in reclamation of the mined out area in Golegohar, Sangan and Chadormalu iron mines. These prioritized sub-criteria provide a suitable framework to prepare the reclamation program.  This method can be applied for prioritization of reclamation criteria for all mines. However, it should be noted that time restriction, cost, available facilities and equipment as well as ecosystems of the mining areas define the order of priorities of the criteria for reclamation programming. In fact, the reclamation program should be compiled in the form of an integrated management plan taking all criteria into consideration at the same time.   
Therefore, reclamation of mining areas is significant for policymakers and authorities of the country due to extensive use of natural resources in mining activities. Since, the rules and regulations related to reclamation of mining areas have not been standardized and administrated in Iran, and the duties and commitments of the owners and beneficiaries have not been properly defined, quantitative and qualitative development of mines reclamation program should be properly planned.

Keywords

Main Subjects


اصانلو، م. 1380. بازسازی معادن، دانشگاه تهران، 230 صفحه.
عصری، ی. 1384. اکولوژی گیاهی، دانشگاه پیام‌نور، 214 صفحه.
عطایی، م. 1389. تصمیم‌گیری چندمعیارۀ فازی،‌ دانشگاه صنعتی شاهرود، 184 صفحه.
علوی، ا، اکبری، ا، و عطایی، م، 1392، انتخاب گونۀ گیاهی مناسب برای بازسازی معدن مس سرچشمه، به روش TOP SIS فازی،‌ نشریۀ علمی- پژوهشی مهندسی معدن، دورۀ 6، شمارۀ 18، ص 101- 106.
 
Alavi, I, Rokni, H, Sadeghzadeh, M. 2011. Prioritizing Crescive Plant Species in Choghart Iron Mine Desert Region (Used method:Fuzzy AHP). Australian Journal of Basic and Applied Sciences, Vol. 5(12), PP 1075-1078.
AMEC Americas Limited. 2007. Sangan project, Tailings dam design. 148831 Report. 106p.
Baker, P., Burton, P., Davidson, R., Falvey, Sh., Gallegos, T. 2000. The practical guide to reclamation in Utah. Dept. of natural resources; Utah. Division of oil gas and mining, 163p.
Bangian, A.H., Osanloo. M.2008. Decision Making for Plant Species Selection in Mined Land Reclamation Plans through MADM Model, Mine Planning and Equipment Selection Conference, October 20-22, Beijing, China. PP 81-94.
Bascetin, A. 2007. A decision support system using analytical hierarchy process (AHP) for the optimal environmental reclamation of an open-pit mine, Environ Geol. Vol52. PP 663–672.
Cao, X. 2007. Regulating mine land reclamation in developing countries: The case of China. Land Use Policy, Vol. 24, PP 472–483.
Christophe, Didier. 2008. The French experience of post mining management, Post-Mining Conference. Nancy, France, PP 1-17.
Golgohar mining and industrial Co. 2009. http://www.geg.ir/default.aspx?Lang=En
Guo, L., Zhou, L., Yang, Ch. 2010. Fuzzy comprehensive evaluation of land reclamation suitability in mining subsidence based on GIS. Natural computation (ICNC): 2010 Sixth international conference, Vol. 8, PP 3998 – 4002.
Haney, R. L., Hossner, L. R., Haney, E. B. 2007. Soil microbial respiration as a tool to assess post mine reclamation. International Journal of Mining, Reclamation and Environment, Vol. 22-1, PP 48-59.
Huang, B., Keisler, J., Linkov, I. 2011. Multi-criteria decision analysis in environmental sciences: Ten years of applications and trends. Science of the Total Environment, Vol. 409, PP 3578-3594.
Incea, Em., Mutmanskyb, J., Albertc E. 1991. Fuzzy multiple-criteria decision making: Application to AML project selection, International Journal of Surface Mining, Reclamation and Environment, Vol. 5, PP 167-176.
Indian & Northern Affairs Canada, Yellowknife. 2006. Mine site reclamation guidelines for the northwest territories, 55p.
Li, M.S. 2005. Ecological restoration of mine land with particular reference to the metalliferous mine wasteland in China: A review of research and practice. Science of the Total Environment, Vol. 357, PP 38– 53.
Linstone, H., Turoff, M., Helmer, O. 2002. The Delphi method techniques and applications. [Electronic version].
Marci, B., Brimblecombe, P., Ann, M., William, P., Freedman, W. 2003. Environmental encyclopedia, Third Edition, Thomson – Gale.
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, v. 15. No. 3, PP. 163-176.
Ministry of industry, mine and trade. Enactment of council of ministers. 2004.
MMSD. 2002. Research on mine closure policy, No. 44, International institute for environment and development (IIED), 94p.
Mummey, L., Stahl, D., Buyer, S. 2002. Microbial biomarkers as an indicator of ecosystem recovery following surface mine reclamation. Applied Soil Ecology, Vol. 21, PP 251–259.
National geosciences database of Iran. 2009. Available from http://www.ngdir.ir/pdefault.asp.
Norman, K., Wampler, J., Throop, H., Schnitzer, F., Roloff, M. 1997. Best management practices for reclamation surface mines in washington & Oregon, Washington, Division of geology and earth resources, Open file report 96-2, 130p.
Okoli ,C., D. Pawlowski, S. 2004. The Delphi method as a research tool: an example, design considerations and applications, Information & Management, Vol. 42, PP 15–29.
Rowe, G., Wright, G. 1999. The Delphi technique as a forecasting tool: issues and analysis, International Journal of Forecasting, Vol. 15, PP 353–375.
Toseh Nirou Co. 2007. Soil investigation report for Sangan iron mine project. 50p.
Vrbova, Marie. & Stys, Stanislav. 2008. 60 years of land reclamation after opencast coal mining – a success story of Czech reclamation work, Mine Planning and Equipment Selection Conference, October 20-22. Beijing, China, PP. 23-27.
World Bank. 1998. Report 22, 15p.
Warhurst, A., Noronha, L. 2000. Environmental policy in mining corporate strategy and planning for closure, 513p. CRC Press LLc.
Zhang, J., Fu, M., Zhou, J. 2008. Change and ecological use mode of surface subsidence in Jinggezhuang mining area in China. Mine Planning and Equipment Selection Conference. October 20-22, Beijing, China, 768-776.