A Reclamation Model for Post-Mining Marble Quarries

Year 2019, , 757 - 774, 01.09.2019

Nihat Cagil Cınar Ebru Vesile Ocalır

https://doi.org/10.35378/gujs.475391

Cited By: 3

Abstract

The damage caused by mining activities are usually environmental aesthetic disturbances (pits and voids), degradation of the existing topographic structure, the pollution of underground and surface water resources, the problems of dust in the living areas, the negativities in terms of life and property safety, the damages of the vital usage areas and the restriction of the living spaces. A methodology has been defined to determine the best future land use alternative for active marble mining sites. GIS, multi-criteria decision making method and fuzzy logic methods are used together to create a land use suitability model as a decision support tool. The study is limited to marble mining activity in the case study of Antalya, Burdur, and Isparta regions (Turkey). The model results give the best option among the alternative land use classes, agricultural areas (A), afforestation (F), recreational area (R), industrial area (I) and landfill area (L) for the 715 marble mines in the study area.

Keywords

GIS, post-mining, land use suitability model

References

• [1] FLMPA (1976). Federal Land Policy and Management Act. U.S. Department of the Interior, Bureau of Land Management and Office of the Solicitor, Office of Public Affairs, Washington, D.C., 69-78.
• [2] SMCRA (1977). Surface Mining Control and Reclamation Act Public Law 95-87. December 31, 251-263.
• [3] AEPG (1995). Australian Environment Protection Agency, Best practice environmental management in mining, rehabilitation and revegetation. Department of Environment, Australia Canberra,
• [4] Khoi, D. D., Murayama, Y. (2010). Delineation of suitable cropland areas using a GIS based multi-criteria evaluation approach in the Tam Dao National Park Region, Vietnam. Sustainability, 2(7), 2024-2043.
• [5] Yeşil, M., Yılmaz, H. (2013). Tozanlı Havzası Tokat Almus ilçesi ekolojik temelli kırsal peyzaj planlaması. Akademik Ziraat Dergisi, 2(2), 63-74.
• [6] Bojorquez-Tapia, L.A., Diaz-Modragon, S., Ezcurra, E. (2001). GIS-based approach for paticiptory decision making and land suitability assessment. International Journal of Geographical Information Science, 15(2), 129-1151.
• [7] Akbulak, C. (2010). Analitik hiyerarşi süreci ve coğrafi bilgi sistemleri ile Yukarı Kara Menderes Havzası’nın arazi kullanım uygunluk analizi. Uluslararası İnsan Bilimleri Dergisi, 7(2), 557-576.
• [8] Cengiz, A. E., Gönüz, A. (2011). Ekolojik Açıdan Kentsel Alan Kullanımları: Çanakkale Kent Merkezi Örneği. Atatürk Üniversitesi Ziraat Fakültesi Dergisi, 42(1),79-89.
• [9] Yılmaz, E. (2004). Bir Arazi Kullanım Planlaması Modeli: Cehennemdere Vadisi Örneği. Çevre ve Orman Bakanlığı, ISSN:1300-7912.
• [10] Rezakhani, P., Moavari, S. M. (2011). Application of spatial multi-criteria evaluation based on fuzzy method in indoor recreational site selection. Journal of Food, Agriculture & Environment, 9(1), 526-530.
• [11] Jozi, S. A., Zaredar, N., Rezaeian, S. (2010). Evaluation of Ecological Capability using Spatial Multi Criteria Evaluation Method (SMCE) Case study: Implementation of Indoor Recreation in Varjin Protected Area-Iran. International Journal of Environmental Science and Development, 1(3), 273.
• [12] Sobhanardakani, S., Seied M. M. (2013). Environmental Valuation of Industrial Estates Location Case Study: Kohgilouyeh & Boyerahmad Province. Intl J Agri Crop Sci.,5 (18), 2147-2162.
• [13] Dai, L., Zhao, X., He, H. S., Deng, H., Yu, D., Zhou, L., Wu, S. (2008). Evaluating land-use suitability of an industrial city in northeast China. The International Journal of Sustainable Development & World Ecology, 15(4), 378-382.
• [14] Eastman, J.R., Kyem, P.A.K., Toledano, J., Jin, W. (1993). GIS and Decision Making. UNITAR, Geneva.
• [15] Nas, B., Çay, T., Berktay, A. (2010). Selection of MSW landfill site for Konya, Turkey using GIS and multi-criteria evaluation. Environmental monitoring and assessment, 160 (1-4), 491-500.
• [16] Isalou, A. A., Zamani, V., Shahmoradi, B., Alizadeh, H. (2013). Landfill site selection using integrated fuzzy logic and analytic network process (F-ANP). Environmental Earth Sciences, 68(6), 1745-1755.
• [17] Şener, Ş., Şener, E., Nas, B., Karagüzel, R. (2010). Combining AHP with GIS for landfill site selection: a case study in the Lake Beyşehir catchment area (Konya, Turkey). Waste Management, 30(11), 2037-2046.
• [18] Sumathi, V. R., Usha, N., Chinmoy, S. (2008). GIS-based approach for optimized siting of municipal solid waste landfill. Waste management, 28.11: 2146-2160.
• [19] Akbari, V., Rajabi, M.A., Chavoshi, S.H., Shams, R. (2008). Landfill site selection by combining GIS and fuzzy multi criteria decision analysis, case study: Bandar Abbas, Iran. World Applied Sciences Journal, 3, 39–47.
• [20] Alfy, Z. E., Elhadary, R., Elashry, A. (2010). Integrating GIS and MCDM to Deal with landfill site selection. International Journal of Engineering-Technology IJET-IJENS, (10)6.
• [21] Allen, A., Brito, G., Caetano, P., Costa, C., Cummins, V., Donnelly, J., Koukoulas, S., O’Donnell, V. Robalo, C., Vendas, D. (2003). A landfill site selection process incorporating GIS modelling. Proceedings of the Ninth International Waste Management and Landfill Symposium, Sardinia, Cagliari, Italy.
• [22] TUIK (2013). Work Accidents and Work Related Health Problems Research Results. Turkish Statistical Institute, Ankara.
• [23] MTA (2013). General Directorate of Mineral Research and Exploration http://www.mta.gov.tr/v3.0/bilgi-merkezi/maden-rezervleri.
• [24] Saaty. T. L. (1996). Decision making with Dependence and Feedback: The Analytical Network Process, RWS Publications, Pittsburg.
• [25] McBratney, A. B., Odeh, I. O. A. (1997). Application of fuzzy sets in soil science: fuzzy logic, fuzzy measurements and fuzzy decisions. Geoderma, 77, 85-113.
• [26] Novak V. (1992). Fuzzy logic: Applications to natural language. In: Shapiro, S.C.(ed) Encyclopedia of Artificial Intelligence (Second edition), New York, John Wiley & Sons.
• [27] Wu, F. (1998). Simulating urban encroachment on rural land with fuzzy-logic-controlled cellular automata in a geographical information system. Journal of Environmental Management, 53, 293–308.
• [28] Rickel, B. W., Anderson, B., Pope, R. (1998). Using fuzzy systems, object-oriented programming and GIS to evaluate wildlife habitat, AI Applications, 12, 31–40.
• [29] Bathrellos, G.D., Gaki-Papanastassiou, K., Skilodimou, H.D., Papanastassiou, D., Chousianitis, K.G. (2012). Potential suitability for urban planning and industry development using natural hazard maps and geological-geomorphological parameters. Environmental Earth Sciences, 66(2), 537-548.