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IJSEA Archive (Volume 6, Issue 10)

International Journal of Science and Engineering Applications (IJSEA)  (Volume 6, Issue 10 October 2017)

Anomaly separation of La, Ce and Nd in Se-Chahun iron ore deposit, Bafq district, central Iran

Mohammadali Sarparandeh , Ardeshir Hezarkhani, Bashir Shokouh Saljooghi


Keywords: classical statistics; probability graph; C-A fractal; anomaly separation of REEs; Se-Chahun; Central Iran

Abstract References BibText

        Increase in global prices of rare earth elements (REEs) in recent years has attracted many exploration researchers, especially in Iran. There are some promising areas in central Iran which contain significant amounts of light rare earth elements (LREE). Se-Chahun metasomatic iron ore deposit is one of them. Concentrations of La, Ce and Nd are considerable in some parts of this deposit. On the other hand, one of the most important steps in geochemical exploration of precious elements is separation of anomaly from background. For this purpose, some methods such as classical statistics and fractal models are common. However, application and simplicity are the two main parameters for choosing a proper method. In this study, classical statistics approach (using the mean and standard deviation), and also probability graph and C-A fractal model (Concentration Area) were applied for anomaly-background separation of La, Ce and Nd. Comparing the results of the methods with mineralogy and chemistry of the samples, showed that probability graph had the best performance in anomaly separation. Therefore, considering the results as well as simplicity of the method, it concluded that probability graph is more applicable and a better approach in comparison to others.

[1] Abd El Nabi, S.H. (2001). Evaluation of airborne gamma-ray spectrometric data for the Missikat uranium deposit, Eastern Desert, Egypt. Applied Radiation and Isotopes, 54, 497–507.
[2] Alavi, M. (1991). Tectonic map of the Middle East (scale 1:5, 000, 000). Geological Survey of Iran.
[3] Ander, E.L., Johnson, C.C., Cave, M.R. et al. (2013). Methodology for the determination of normal background concentrations of contaminants in English soil. Science of the Total Environment, 454–455, 604–618.
[4] Barton, M.D. (2014). Iron oxide(–Cu–Au–REE–P–Ag–U–Co) systems. Treatise on Geochemistry, 13, 515-541.
[5] Bonyadi, Z., Davidson, G.J. Mehrabi, B. et al. (2011). Significance of apatite REE depletion and monazite inclusions in the brecciated Se–Chahun iron oxide apatite deposit, Bafq district, Iran: insights from para-genesis and geochemistry. Chemical Geology, 281, 253–269.
[6] Carranza, E.J.M. (2009). Geochemical anomaly and mineral prospectivity mapping in GIS. Handbook of exploration and environmental geochemistry (M. Hale, Editor), 11, 51–84.
[7] Cheng, Q., Agterberg, F.P., Ballantyne, S.B. (1994). The separation of geochemical anomalies from background by fractal methods. Journal of Geochemical Exploration, 51, 109–130.
[8] Cheng, Q., Agterberg, F., Bonham-Carter, G. (1996). A spatial analysis method for geochemical anomaly separation. Journal of Geochemical Exploration, 56, 183–195.
[9] Cheng, Q., (1999). Spatial and scaling modelling for geochemical anomaly separation. Journal of Geochemical Exploration, 65, 175–194.
[10] Cheng, Q., Xu, Y., Grunsky, E. (2000). Integrated spatial and spectrum method for geochemical anomaly separation. Natural Resources Research, 9, 43–51.
[11] Cheng, Q. (2007). Mapping singularities with stream sediment geochemical data for prediction of undiscovered mineral deposits in Gejiu, Yunnan Province, China. Ore Geology Reviews, 32, 314–324.
[12] Cheng, Q. (2008). Non-linear theory and power-law models for information integration and mineral resources quantitative assessments. Mathematical Geosciences, 40,503–532.
[13] Daliran, F. (2002). Kiruna-type iron oxide-apatite ores and apatites of the Bafq district, Iran, with an emphasis on the REE geochemistry of their apatites. Hydrothermal iron oxide copper-gold & related deposits: a global perspective, 2, 303–320.
[14] Daliran F., Stosch H.G., Williams P.J., et al. (2010). Lower cambrian iron oxide–apatite–REE (U) deposits of the Bafq district, east-central Iran. Exploring for iron oxide copper–gold deposits: Canada and global analogues, Geological Association of Canada, Short Course Notes 20, 143–155.
[15] Edfelt, A. (2007). The Tjarrojakka apatite-iron and Cu (-Au) deposits, northern Sweden: products of one ore forming event. Dissertation, Lulea University of Technology, Sweden.
[16] Fleischer, M. (1969). The lanthanide elements in fluorite. Indian Mineral, 10, 36-39.
[17] Frietsch, R. (1982). On the chemical composition of the ore breccia at Luossavaara, northern Sweden. Mineralium Deposita, 17, 239–243.
[18] Frietsch, R., Perdahl, J.A. (1995). Rare earth elements in apatite and magnetite in Kiruna-type iron ores and some other iron ore types. Ore Geology Reviews, 9, 489–510.
[19] Galuszka, A. and Migaszewski, Z.M. (2011). Geochemical background – an environmental perspective. Mineralogia, 42 (1), 7–17.
[20] Li, C., Ma, T. and Shi, J. (2003). Application of a fractal method relating concentration sand distances for separation of geochemical anomalies from background. Journal of Geochemical Exploration, 77, 167–175.
[21] Li, Q. and Cheng, Q. (2004). Fractal singular-value (eigenvalue) decomposition method for geophysical and geochemical anomaly reconstruction. Earth Science-Journal of China University of Geosciences, 29, 109–118 (in Chinese with English abstract).
[22] Mahvash Mohammadi, N., Hezarkhani, A., Shokouh Saljooghi, B. (2016). Separation of a geochemical anomaly from background by fractal andU-statistic methods, a case study: Khooni district, Central Iran. Chemie der Erde, 76, 491–499.
[23] Mandelbrot, B.B., Passoja, D.E., Paullay, A.J. (1984). Fractal character of fracture surfaces of metals. Nature, 308, 721–722.
[24] Meigoony, M.S., Afzal, P., Gholinejad, M. et al. (2014). Delineation of geochemical anomalies using factor analysis and multifractal modeling based on stream sediments data in Sarajeh 1: 100,000 sheet, Central Iran. Arabian Journal of Geosciences, 7, 5333–5343.
[25] Mokhtari, Z., Boomeri, M., Bagheri, S. (2015). Application of multifractal modeling technique in systematic lithogeochemical survey to identify Au–Cu anomalies in the Siah-Jangal area, Southeastern of Iran. Arabian Journal of Geosciences, 8, 9517–9530.
[26] National Iranian Steel Corporation (1975). Report on detailed exploration of Se-Chahun iron ore deposit in central Iran. Tehran, National Iranian Steel Corporation (NISCO).
[27] Nazarpour, A., Omran, N.R., Paydar, G.R. et al. (2015). Application of classical statistics, logratio transformation and multifractal approaches to delineate geochemical anomalies in the Zarshuran gold district, NW Iran. Chemie der Erde-Geochemistry, 75, 117–132.
[28] Oreskes, N., Einaudi, M.T. (1990). Origin of rare earth element-enriched hematite breccias at the Olympic dam Cu-U-Au-Ag deposit, Roxby Downs, South Australia. Economic Geology, 85, 1–28.
[29] Pazand, K., Hezarkhani, A., Ataei, M. et al. (2011). Application of multifractal modeling technique in systematic geochemical stream sediment survey to identify copper anomalies: a case study from Ahar, Azarbaijan, Northwest Iran. Chemie der Erde-Geochemistry, 71, 397–402.
[30] Rajabi, A., Canet, C., Rastad, E., et al. (2015). Basin evolution and stratigraphic correlation of sedimentary-exhalative Zn–Pb deposits of the early cambrian Zarigan– Chahmir basin, Central Iran. Ore Geology Reviews, 64, 328–353.
[31] Ramezani, J., Tucker, R.D. (2003). The saghand region, Central Iran: U–Pb geochronology, petrogenesis and implications for gondwana tectonics. American Journal of Science, 303, 622–665.
[32] Reimann, C., Filzmoser, P., Garrett, R.G. (2005). Background and threshold: critical comparison of methods of determination. Science of the Total Environment, 346, 1–16.
[33] Risdianto, D., Kusnadi, D. (2010). The Application of a Probability Graph in Geothermal Exploration. Proceedings World Geothermal Congress, Bali, Indonesia, 25–29 April.
[34] Sarparandeh, M. and Hezarkhani, A. (2016). Application of self-organizing map for exploration of REEs’ deposition. Open Journal of Geology, 6, 571–582.
[35] Sarparandeh, M. and Hezarkhani, A. (2016). Studying distribution of rare earth elements by classifiers, Se-Chahun iron ore, Central Iran. Acta Geochimica, 35, 140, 1–8.
[36] Schuler, D., Buchert, M., Liu, R., et al. (2011). Study on rare earths and their recycling, Final report for the Greens/EFA group in the european parliament, The Greens/European free alliance, 42-59.
[37] Shekarian, Y. (2014). Geochemical investigations on REEs in N-NE Choghart iron deposit and their economic evaluations. Dissertation, Amirkabir University of Technology (Tehran Polytechnic), Tehran.
[38] Siegel, F. R. (2002). Environmental geochemistry of potentially toxic elements. Springer-Verlag, Berlin, 80–81
[39] Simandl, G. (2014). Geology and market-dependent significance of rare earth element resources. Mineralium Deposita , 49, 889–904.
[40] Sinclair A.J. (1974). Selection of threshold values in geochemical data using probability graphs. Journal of Geochemical Exploration, 3, 129 – 149.
[41] Stosch, H.G., Romer, R.L., Daliran, F., et al. (2011). Uranium–lead ages of apatite from iron oxide ores of the Bafq district, east-central Iran. Mineralium Deposita, 46, 9–21.
[42] Tennant C.B., White M.L. (1959). Study of the distribution of some geochemical data. Economic Geology, 54, 1281– 1290.
[43] Torab, F., Lehmann, B. (2007). Magnetite-apatite deposits of the Bafq district, central Iran: apatite geochemistry and monazite geochronology. Mineralogical Magazine, 71, 347–363.
[44] Torab, F. (2008). Geochemistry and metallogeny of magnetite apatite deposits of the Bafq mining district, Central Iran. Dissertation, Clausthal University of Technology, Germany.
[45] Williams, X. K. (1967). Statistics in the interpretation of geochemical data. New Zealand Journal of Geology and Geophysics, 10 (3), 771–797.
[46] Zaremotlagh, S., Hezarkhani, A. (2016). A geochemical modeling to predict the different concentrations of REE and their hidden patterns using several supervised learning methods: Choghart iron deposit, bafq, Iran. Journal of Geochemical Exploration, 165, 35–48.

title = " Anomaly separation of La, Ce and Nd in Se-Chahun iron ore deposit, Bafq district, central Iran ",
journal = "International Journal of Science and Engineering Applications (IJSEA)",
volume = "6",
number = "10",
pages = "322 - 330 ",
year = "2017",
author = " Mohammadali Sarparandeh , Ardeshir Hezarkhani, Bashir Shokouh Saljooghi ",