Selecting proper plant species for mine reclamation using fuzzy AHP approach (case study: Chadormaloo iron mine of Iran)

• Autorzy: Ebrahimabadi A.

Identyfikatory

DOI

10.1515/amsc-2016-0049

Warianty tytułu

PL

Wybór gatunków roślin do wykorzystania w rekultywacji terenów górniczych z wykorzystaniem elementów logiki rozmytej i metody AHP – Analytic Hierarchy Process (studium przypadku: kopalnia rud żelaza Chadormaloo w Iranie)

• Języki publikacji: EN

Abstrakty

EN

This paper describes an effective approach to select suitable plant species for reclamation of mined lands in Chadormaloo iron mine which is located in central part of Iran, near the city of Bafgh in Yazd province. After mine’s total reserves are excavated, the mine requires to be permanently closed and reclaimed. Mine reclamation and post-mining land-use are the main issues in the phase of mine closure. In general, among various scenarios for mine reclamation process, i.e. planting, agriculture, forestry, residency, tourist attraction, etc., planting is the oldest and commonly-used technology for the reclamation of lands damaged by mining activities. Planting and vegetation play a major role in restoring productivity, ecosystem stability and biological diversity to degraded areas, therefore the main goal of this research work is to choose proper and suitable plants compatible with the conditions of Chadormaloo mined area, providing consistent conditions for future use. To ensure the sustainability of the reclaimed landscape, the most suitable plant species adapted to the mine conditions are selected. Plant species selection is a Multi Criteria Decision Making (MCDM) problem. In this paper, a fuzzy MCDM technique, namely Fuzzy Analytic Hierarchy Process (FAHP) is developed to assist chadormaloo iron mine managers and designers in the process of plant type selection for reclamation of the mine under fuzzy environment where the vagueness and uncertainty are taken into account with linguistic variables parameterized by triangular fuzzy numbers. The results achieved from using FAHP approach demonstrate that the most proper plant species are ranked as Artemisia sieberi, Salsola yazdiana, Halophytes types, and Zygophyllum, respectively for reclamation of Chadormaloo iron mine.

PL

W pracy przedstawiono skuteczną metodę wyboru odpowiednich gatunków roślin do wykorzystania przy rekultywacji terenów górniczych na terenie kopalni rud żelaza Chadormaloo w środkowej części Iranu, w pobliżu miasta Bafgh, w prowincji Yazd. Po wyczerpaniu zasobów kopalni planowane jest całkowite jej zamkniecie i rekultywacja jej terenów. Rekultywacja terenów górniczych i ich wykorzystanie po zakończeniu wydobycia są kluczowymi zagadnieniami na etapie zamykania kopalni. Spośród rozmaitych scenariuszy rekultywacji terenów (sadzenie roślin, uprawy rolne, sadzenie lasów, przekształcenie w teren mieszkalny lub w atrakcje turystyczne), sadzenie roślin jest najstarszą i najczęściej stosowaną metodą rekultywacji terenów zniszczonych przez działalność górniczą. Nasadzenia i roślinność odgrywają kluczowa role w odtworzeniu produktywności terenu, przyczyniają się do stabilizacji ekosystemów i wnoszą bio-różnorodność na zdegradowane tereny. Stąd też głównym celem obecnych badań jest dobór najbardziej odpowiednich roślin dostosowanych do warunków panujących na terenie obecnej kopalni rud żelaza Chadormaloo, tym samym umożliwiając ponowne tych terenów wykorzystywanie w przyszłości. W celu zapewnienia długotrwałego charakteru krajobrazu, konieczny jest dobór odpowiednich roślin, dostosowanych do warunków panujących na terenie kopalni. Dobór gatunków roślin jest zagadnieniem decyzyjnym, wielo-kryterialnym (MCDM – Multi Criteria Decision Making). W niniejszej pracy przedstawiono metodę wyboru opartą o elementy logiki rozmytej FAHP (Fuzzy Analytic Hierarchy Process) do wykorzystania przez projektantów oraz kierownictwo kopalni i Chadormaloo przy wyborze odpowiednich roślin do rekultywacji terenów w środowisku charakteryzowanym przez parametry rozmyte. Metoda pozwala na uwzględnienie niejasności i niepewności, zmienne językowe są sparametryzowane przy wykorzystaniu liczb trójkątnych. Wyniki uzyskane dzięki wykorzystaniu metody FAHP pokazują, że przy rekultywacji terenów kopalni w Chadormaloo najbardziej odpowiednimi gatunkami roślin będą kolejno: Artemisia sieberi, Salsola yazdiana, Halophytes oraz Zygophyllum.

Słowa kluczowe

EN

Chadormaloo iron mine; fuzzy AHP; mine reclamation; plant species

PL

kopalnia rud żelaza Chadormaloo; metoda AHP z elementami logiki rozmytej; rekultywacja terenów górniczych; gatunki roślin

• Wydawca: Instytut Mechaniki Górotworu PAN
• Czasopismo: Archives of Mining Sciences
• Rocznik: 2016
• Tom: Vol. 61, no. 4
• Strony: 713--728
• Opis fizyczny: Bibliogr. 45 poz., rys., tab., wykr.

Twórcy

autor

Ebrahimabadi A.

• Department of Mining, Faculty of Engineering, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran

Bibliografia

• [1] Aydogan E.K., 2011. Performance measurement model for Turkish aviation firms using the rough-AHP and TOPSIS methods under fuzzy environment. Expert Systems with Applications, 38: 3992-3998.
• [2] Abolghasemi M., Mirhoseini A., Dashtakian K., 2004. Vegetation types of Ravar-Bahabad area, Yazd Research Institute of Forest and Rangelands, 99 p, (in Persian).
• [3] Akbari A., Osanloo M., Hamidian H., 2006. Selecting post mining land use through analytical hierarchy processing method: case study in Sungun copper open pit mine of Iran. Proc. of the fifteen Int. Symposium on Mine Planning and Equipment Selection (MPES 2006), Torino, Italy, 245-252.
• [4] Alavi I., Akbari D.A., Parsaei M., 2011. Plant type selection for Sarcheshmeh copper mine reclamation by Fuzzy-AHP method. BLOUR Science and Expertism Magazine, Amirkabir University of Technology, 29, 10-17, (in Persian).
• [5] Alavi I., Alinejad R.H., Sadegh Zadeh M., 2011. Prioritizing crescive plant species in Choghart iron mine desert region (Used method: Fuzzy AHP). Australian Journal of Basic and Applied Sciences, 5(12), 1075-1078.
• [6] Bangian A.H., Osanloo M., 2008. Multi attribute decision model for plant species selection in mine reclamation plans: Case study Sungun copper mine. Post-Mining, February 6-8, 1-11, (in Persian).
• [7] Bellman R.E., Zadeh L.A., 1977. Local and fuzzy logics. Modern Uses of Multiple-valued Logic, Kluwer, Boston, 158-165.
• [8] Boender C.G.E., de grann J.G., Lootsma F.A., 1989. Multicriteria decision analysis with fuzzy pair-wise comparison. Fuzzy Sets and Systems, 29(2): 133-143.
• [9] Bojadziev G., Bojadziev M., 1998. Fuzzy sets and fuzzy logic applications. World Scientific, Singapore, ISBN: 978-981-283-069-2 (ebook), 300 p.
• [10] Buckley J., 1985. Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17, 233-247.
• [11] Chang D.Y., 1992. Extent analysis and synthetic decision. Optimisation Techniques and Applications, Vol. 1, World Scientific, Singapore, 352 p.
• [12] Chang D.Y., 1996. Applications of the extent analysis method on Fuzzy AHP. European Journal of Operational Research, 95, 649-655.
• [13] Chien-Chang C., 2011. Evaluating the quality of airport service using Fuzzy multi-criteria decision making method: a case study of Taiwanese airports. Expert Systems, 29(3), 246-260.
• [14] Dashtakian K., Ekhtesasi M.R., Rad M.H., 2000. Vegetation types of Ardekan-Meybod area. Tehran Research Institute of Forest and Rangelands, 234, 93, (in Persian).
• [15] Dashtakian K., Baghestani Maybodi N., Rad M.H., Abolghasemi M., 2001. Vegetation types of Yazd area. Tehran Research Institute of Forest and Rangelands, 286, 125, (in Persian).
• [16] Dashtakian K., Khosroshahi M., 2002. Identification and introduction of desert plant species in Yazd province. Iranian journal of Rang and Desert Research, 11(4), 383-409, (in Persian).
• [17] Dashtakian K., Rad M.H., Abolghasemi M., 2002. Vegetation types of Abade area. Tehran Research Institute of Forest and Rangeland, 304, 115, (in Persian).
• [18] Deng H., 1999. Multicriteria analysis with Fuzzy pair-wise comparison. International Journal of Approximate Reasoning, 21, 215-231.
• [19] Ertuğrul I., Karakaşoğlu N., 2006. Fuzzy TOPSIS method for academic member selection in engineering faculty. International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CISSE 06), 4-14.
• [20] Ertuğrul I., Karakaşoğlu N., 2008. Comparison of fuzzy AHP and fuzzy TOPSIS method for facility location selection. International Journal of Advanced Manufacturing Technology, vol. 39(8), 783-795.
• [21] Ertuğrul I., Tuş A., 2007. Interactive fuzzy linear programming and an application sample at a mine firm. Fuzzy Optimization and Decision Making, 6, 29-49.
• [22] Ertuğrul I., 2011. Fuzzy group decision making for the selection of facility location. Group Decision and Negotiation, 20(6), 725-740.
• [23] Ghaderi Gh., Tavakoli H., Yusoofi M., 2003. Vegetation types of Tabas area. Tehran Research Institute of Forest and Rangelands, 319, 99, (in Persian).
• [24] Hwang C.L., Yoon K., 1981. Multiple attributes decision making methods and applications. Springer, Berlin.
• [25] Kahraman C., Cebeci U., Ulukan Z., 2003. Multi-criteria supplier selection using Fuzzy AHP. Logistics Information Management, 16(6), 382-394.
• [26] Kahraman C., 2008. Multi-criteria decision making methods and fuzzy sets. Fuzzy Multi-Criteri Decision Making. Springer Science & Business Media, LLC, 16: 1-18.
• [27] Laurence D., 2001. Classification of risk factors associated with mine closure. Mineral Resources Engineering, 10(3), 315-331.
• [28] Laurence D., 2006 Optimization of the mine closure process. Journal of Clear Production, 14, 285-298
• [29] Mousaei Sanjerehei M., Jafari M., Mataji A., Baghestani Meybodi N., 2013 Influence of environmental factors on distribution of plant species in Nodushan rangelands of Yazd province (Iran). DESERT, 18, 19-26.
• [30] Naghadehi M.Z., Mikaeil R., Ataei M., 2009 The application of fuzzy analytic hierarchy process (FAHP) approach to selection of optimum underground mining method for Jajarm Bauxite Mine, Iran. Expert Systems with Applications, 36(4), 8218-8226.
• [31] Osanloo M., 2002 Mine reclamation. Amirkabir University of Technology Publications, Tehran.
• [32] Rajput H.C., Milani A.S., Labun A., 2011. Including time dependency and ANOVA in decision-making using the revised fuzzy AHP: A case study on wafer fabrication process selection. (Case study). Applied Soft Computing Journal, 8(11), 5099-5109.
• [33] Reyhan M.K., Amiraslani F., 2006. Studying the relationship between vegetation and physicochemical properties of soil, Case study: Tabas region, Iran. Pakistan Journal of Nutrition, 5(2), 169-171.
• [34] Saaty T.L., 1980. The analytic hierarchy process, McGraw-Hill, New York.
• [35] Soltanmohammadi H., Osanloo M., Aghajani A.B., 2010 An analytical approach with a reliable logic and a ranking policy for post-mining land-use determination. Land Use Policy, 27, 364-372.
• [36] Torlak G., Sevkil M., Sanal M., Zaim S., 2011. Analyzing business competition by using fuzzy TOPSIS method: An example of Turkish domestic airline industry. Expert System with Applications, 38, 3396-3406.
• [37] Vahdani B., Hadipour H., 2010. Extention of the ELECTRE method based on interval-valued fuzzy set. Soft Computing. http://dx.doi.org/10.1007/s00500-010-0563-5.
• [38] Vaidya O.S., Kumar S., 2006. Analytic hierarchy process: an overview of applications. European Journal of Operational Research, 169, 1-29.
• [39] Van Laarhoven P.J.M., Pedrcyz W., 1983. A Fuzzy extension of Saaty’s priority theory. Fuzzy Sets and Systems, 11, 229-241.
• [40] Wang Y.M, Elhag T.M.S., 2006. Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment. Expert Systems with Applications, 31, 309-319.
• [41] Wang T.C., Chen Y.H., 2007. Applying consistent fuzzy preference relations to partnership selection. Omega, 35, 384-388.
• [42] Xia L.U., Zhen H.U., 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, 17(4), 0479-0483.
• [43] Zadeh L.A., 1965. Fuzzy sets. Information Control, 8, 338-353.
• [44] Zadeh L.A., 1975. The concept of a linguistic variable and its application to approximate reasoning. Information Sciences, 8, 199-249.
• [45] Zimmermann H.J., 1992. Fuzzy set theory and its applications. Modern uses of multiple-valued logic, Kluwer, Boston, 412.