تعیین زون های آنومالی ژئوشیمیایی کروم در منطقه ارزوئیه، استان هرمزگان با استفاده از روش فرآیند تحلیل سلسله مراتبی (AHP)

نوع مقاله : علمی- پژوهشی

نویسندگان

1 بوعلی سینا

2 شهید بهشتی

چکیده

منطقه ارزوئیه در مرز دو استان کرمان و هرمزگان قرار دارد. در این منطقه اکتشافات رسوبات آبراهه ای در مقیاس 1:100000 انجام شد. مهمترین عنصر اکتشافی در این منطقه کروم است که در اصل باید با پریدوتیت ها و دیگر سنگ های اولترابازیک همراه باشد؛ ولی در منطقه مقادیر بالای کروم با سازندهای تخریبی همخوانی دارد. برای تعیین زون های آنومالی فلزی و حذف آنومالی های کاذب می‌توان از چند روش استفاده کرد که در این پژوهش از روش شاخص آماری AHP و سیستم اطلاعات جغرافیایی استفاده شد. در این راستا، سه معیار لیتولوژی، ژئوشیمی عنصری و زمین‌ساخت در نظرگرفته و سپس با استفاده از این مدل، عوامل مربوطه ارزیابی و تعیین وزن شد. در پایان برای تهیه نقشه نهایی، لایه های اطلاعاتی این عوامل در محیط GIS تهیه و تلفیق شد. نتایج حاصل از بررسی نقشه آنومالی نشان داد که این روش باعث حذف آنومالی های کاذب در این منطقه می شود.

کلیدواژه‌ها


Abedi, M., Torabi, S.A. and Norouzi, G.H., 2013. Application of fuzzy AHP method to integrate geophysical data in a prospect scale, a case study: Seridune copper deposit. Bollettino di Geofisica Teorica ed Applicata, 54(2): 145–164.
Aghanabati, A., 2004. Geology of Iran. Ministry of Industry and Mines. Geological Survey of Iran, Tehran, 582 pp. (in Persian)
Azizan, H. and Nazemzadeh, M., 2006. Geological map of Orzuiyeh, scale 1:100000. Geological Survey of Iran, Tehran.
Bonham-Carter, G.F., 1994. Geographic Information Systems for Geoscientists: Mod-eling with GIS. Pergamon Press, Oxford, UK, 398 pp.
Bowen, W.M., 1990. Subjective judgments and data environment analysis in site selection. Computers, Environment and Urban Systems, 14(2): 133-144.
Carranza, E.J.M., 2008. Geochemical anomaly and mineral prospectivity mapping in GIS. Elsevier, Amsterdam, Netherlands, 368 pp.
Chang, N., Parvathinathanb, G. and Breeden, J.B., 2008. Combining GIS with fuzzy multi criteria decision making for landfill siting in a fast-growing urban region. Journal of Environmental Management, 87(1): 139–153.
Chen, H.S., Liu, G.S., Yang, Y.F., Ye, X.F. and Shi, Z., 2010. Comprehensive evaluation of tobacco ecological suitability of Henan province based on GIS. Agricultural Sciences in China, 9(4): 583–592.
Chen, Y., 2001. Implemetingan Hierarchy Process by Fuzzy integral. International Journal of Fuzzy Systems, 3(3): 493–502.
Cimren, E., Catay, B. and Budak, E., 2007. Development of a machine tool selection system using AHP. The International Journal of Advanced Manufacturing Technology, 35(3–4): 363–376.
Dagdeviren, M., 2008. Decision making in equipment selection: an integrated approach with AHP and PROMETHEE. Journal of Intelligent Manufacturing, 19(4): 397–406.
Dey, P.K. and Ramcharan, E.K., 2000. Analytic hierarchy process helps select site for limestone quarry expansion in Barbados. Journal of Environmental Management, 88(4): 1384–1395.
Dyer, R.F. and Forman, E.H., 1991. An analytical approach to marketing decisions. Englewood Cliffs, Prentice Hall, USA, 368 pp.
Hassani Pak, A.A., 2004. Geochemical exploration. Tehran University, Tehran, 615 pp. (in Persian)
Hassani Pak, A.A. and Sharafaddin, M., 2001. Exploration Data Analysis. Tehran University, Tehran, 990 pp. (in Persian)
Jamshidi, J., Ataei, M., Sereshki, F. and Jalali, S.M.E., 2009. The application of AHP approach to selection of optimum underground mining method, case study: Jajarm Bauxite Mine (Iran). Archives of Mining Sciences, 54(1): 103–17.
Jiajin, Y. and Lee, H., 1997. An AHP decision model for facility location selection. Facilities, 15(9): 241–254.
Kazakis, N., Kougias, I. and Patsialis, T., 2015. Assessment of flood hazard areas at a regional scale using an index -based approach and Analytical Hierarchy Process: Application in Rhodope– Evros region, Greece. Science of the Total Environment, 538(1): 555–563.
Komac, M., 2006. A landslide susceptibility model using the Analytical Hierarchy Process method and multivariate statistics in perialpine Slovenia. Geomorphology, 74(1): 17–28.
Kumar, S. and Hassan, M., 2013. Selection of a Landfill Site for Solid Waste Management: An Application of AHP and Spatial Analyst Tool. Journal of the Indian Society of Remote Sensing, 41(1): 45–56.
Kun, M., Topaloglu, S. and Malli, T., 2013. Evaluation of Wheel Loaders in Open Pit Marble Quarrying by Using the AHP TOPSIS Approaches. Archives of Mining Sciences, 58(1): 255–267.
Lopez, H.J. and Zink, J.A., 1991. GIS-assisted modelling of soil-induced mass movement hazards: a case study of the upper Coello river basin, Tolima, Colombia. Interdenominational Theological Center, 4: 202–220.
Macharis, C., Springael, J., Brucker, K.D. 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.
Najafi, A., Karimpour, M.H. and Ghaderi, M., 2014. Application of fuzzy AHP method to IOCG prospectivity mappingAcase study in Taherabad prospecting area, eastern Iran. International Journal of Applied Earth Observation and Geoinformation, 33(1): 142–154.
Ngai, E.W.T., 2003. Selection of web sites for online advertising using the AHP. Information and Management, 40(4): 233–242.
Oh, H.J. and Lee, S., 2010. Application of Artificial Neural Network for Gold–Silver Deposits Potential Mapping: A Case Study of Korea. Nonrenewable Resource, 19(2): 103–124.
Pourghasemi, H.R., Moradi, H.R. and Fatemi Aghda, S.M., 2013. Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances. Natural Hazards, 69(1): 749–779.
Rahimdel, M.J. and Ataei, M., 2014. Application of analytical hierarchy process to selection of primary crusher. International Journal of Mining Science and Technology, 24(4): 519–523.
Rahman, R. and Saha, S.K., 2008. Remote sensing, spatial multi criteria evaluation (SMCE) and analytical hierarchy process (AHP) in optimal cropping pattern planning for a flood prone area. Journal of Spatial Science, 53(2): 161–177.
Rigol-Sanchez, J.P., Chica-Olmo, M. and Abarca-Hernandez, F., 2003. Artificial neural networks as a tool for mineral potential mapping with GIS. International Journal of Remote Sensing, 24(5): 1151–1156.
Saaty, T.L., 1980. The Analytic Hierarchy Process, Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York, USA, 281 pp.
Saaty, T.L., 1986. Axiomatic foundation of the analytic hierarchy process. Management Science, 32(7): 841–855.
Shahabi, H., Khezri, S., Ahmad, B.B. and Hashim, M., 2014. Landslide susceptibility mapping at central Zab basin, Iran: A comparison between analytical hierarchy process, frequency ratio and logistic regression models. Catena, 115(1): 55–70.
Shen, L., Muduli, K. and Barve, A., 2015. Developing a sustainable development framework in the context of mining industries: AHP approach. Resources Policy, 46(1): 15–26.
Taheri, K., Gutierrez, F., Mohseni, H., Raeis, E. and Taheri, M., 2015. Sinkhole susceptibility mapping using the analytical hierarchy process (AHP) and magnitude–frequency relationships: A case study in Hamadan province, Iran. Geomorphology, 234(1): 64–79.
Wu, C. and Chen, S., 2009. Determining landslide susceptibility in Central Taiwan from rainfall and six site factors using the analytical hierarchy process method. Geomorphology, 112(3): 190–204.
Wu, C., Lin, C. and Chen, H., 2007. Optimal selection of location for Taiwanesehospitals to ensure a competitive advantage by using the analytic hierarchyprocess and sensitivity analysis. Building and Environment, 42(3): 1431–1444.
Yazdi, M., 2002. Conventional methods in geochemical exploration. Shahid Beheshti University, Tehran, 180 pp. (in Persian)
Zhang, D., Agterberg, F., Cheng, Q. and Zuo, R., 2013. A Comparison of Modified Fuzzy Weights of Evidence, Fuzzy Weights of Evidence, and Logistic Regression for Mapping Mineral Prospectivity. Mathematical Geosciences, 46(7): 869–885.
CAPTCHA Image