Farshad Darab-Golestan
Department of Mining and Metallurgical Engineering, Amirkabir University of Technology. 424 Hafez Ave, Tehran, Iran
Ardeshir Hezarkhani
Department of Mining and Metallurgical Engineering, Amirkabir University of Technology. 424 Hafez Ave, Tehran, Iran
The criterion-base iterative stepwise Backward Elimination (BE) method was used to predict Au according to the main variables (Ag, Cu, Pb, and Zn). The optimization process of the quadratic polynomial model are carried out on different trenches. Whereas, Pb and Zn with Ag×Zn and Pb×Zn are significant to determine the lateral dispersion of Au. It means Zn is the predominant element in near surface zone. Therefore, it point out that the polymetallic (Au-Ag-Cu-Pb-Zn) high-sulfidation hydrothermal veins may be related to a porphyry deposit at depth. Laterally, 2D surface contour maps using kriging confirms all the results of the dispersion pattern of elements at Glojeh.
[1] Raudenbush, S.W. and Liu, X.-F.. “Effects of study duration, frequency of observation, and sample size on power in studies of group differences in polynomial change”. Psychological methods 2001, 6, 387.
[2] Diggle, P.. “Analysis of Longitudinal Data, Edited by Diggle PJ, Heagerty P, Liang KY, Zeger SL”. Oxford, Oxford University Press, 2002.
[3] Leon, A.C. and Heo, M..“Sample sizes required to detect interactions between two binary fixed-effects in a mixed-effects linear regression model”. Computational statistics & data analysis, 2009, 53: 603-608.
[4] Graham, M.W. and Miller, D.J.. “Unsupervised learning of parsimonious mixtures on large spaces with integrated feature and component selection”. IEEE Transactions on Signal Processing, 2006, 54: 1289-1303.
[5] Samal, A.R., et al..“Backward elimination procedure for a predictive model of gold concentration”. Journal of Geochemical Exploration, 2008, 97: 69-82.
[6] Garson, G.. “Multiple regression (statistical associates blue book series)”. Asheboro, NC: Statistical Associates Publishers, 2012.
[7] Mohammadi, R., et al.. “Extraction optimization of pepsin-soluble collagen from eggshell membrane by response surface methodology (RSM)”. Food chemistry, 2016, 190: 186-193.
[8] Yadav, V., et al.. “A backward elimination discrete optimization algorithm for model selection in spatio-temporal regression models”. Environmental modelling & software, 2013, 42: 88-98.
[9] Singh, J., et al.. “Study of sruface roughness for discontinuous ultrasonic vibration assisted electric discharge machining using RSM”. International Journal of Research in Engineering and Technology, 2013, 2: 727-737.
[10] Vaske, J.J.. “Communicating judgments about practical significance: Effect size, confidence intervals and odds ratios”. Human Dimensions of Wildlife, 2002, 7: 287-300.
[11] Eggenhuisen, J.T., et al.. “Small-scale spatial variability in turbidity-current flow controlled by roughness resulting from substrate erosion: field evidence for a feedback mechanism”. Journal of Sedimentary Research, 2010, 80: 129-136.
[12] Mousavi, J. and Parvini, M.. “A sensitivity analysis of parameters affecting the hydrogen release and dispersion using ANOVA method”. International Journal of Hydrogen Energy, 2016, 41: 5188-5201.
[13] Mehrabi, B., et al.. “The genesis of the epithermal gold mineralization at North Glojeh veins, NW Iran”. IJSAR , 2014, 15: 479-497.
[14] Ghorbani, M.. The economic geology of Iran: mineral deposits and natural resources. Springer Science & Business Media, 2013.
[15] Alavi, M.. “Tectonostratigraphic synthesis and structural style of the Alborz mountain system in northern Iran”. Journal of Geodynamics, 1996, 21: 1-33.
[16] Bahajroy, M. and Taki, S.. “Study of the mineralization potential of the intrusives around Valis (Tarom-Iran)”. Earth Sciences Research Journal, 2014, 18: 123-129.
[17] Mehrabi, B., et al.. “Mineral assemblages, fluid evolution, and genesis of polymetallic epithermal veins, Glojeh district, NW Iran”. Ore Geology Reviews, 2016, 78: 41-57.
[18] Barnes, H.L.. Geochemistry of hydrothermal ore deposits. John Wiley & Sons, 1997.
[19] Cheng, Q.. “Mapping singularities with stream sediment geochemical data for prediction of undiscovered mineral deposits in Gejiu, Yunnan Province, China”. Ore Geology Reviews, 2007, 32: 314-324.
[20] Braams, B.R., et al.. “Longitudinal changes in adolescent risk-taking: a comprehensive study of neural responses to rewards, pubertal development, and risk-taking behavior”. The Journal of Neuroscience, 2015, 35: 7226-7238.
[21] Darabi-Golestan, F. and Hezarkhani, A.. “Quadratic investigation of geochemical distribution by backward elimination approach at Glojeh epithermal Au (Ag)-polymetallic mineralization, NW Iran”. Journal of Central South University, 2018, 25: 342-356.
[22] Preacher, K.J., et al.. “Computational tools for probing interactions in multiple linear regression, multilevel modeling, and latent curve analysis”. Journal of educational and behavioral statistics, 2006, 31: 437-448.
[23] Ali, K., et al.. “Application of empirical and semi-analytical algorithms to MERIS data for estimating chlorophyll a in Case 2 waters of Lake Erie”. Environmental Earth Sciences, 2014, 71: 4209-4220.
[24] Coruh, S. and Elevli, S.. “Optimization of malachite green dye removal by sepiolite clay using a central composite design”. Global NEST Journal, 2014, 16: 339-347.
[25] Nelson, J.B.. “A Robust Function to Return the Cumulative Density of Non-Central F Distributions in Microsoft Office Excel”. Psicologica: International Journal of Methodology and Experimental Psychology, 2016, 37: 61-83.
[26] Darabi-Golestan, F. and Hezarkhani, A.. “Applied statistical functions and multivariate analysis of geochemical compositional data to evaluate mineralization in Glojeh polymetallic deposit, NW Iran”. Frontiers of Earth Science, 2019, 13: 229-246.
[27] Darabi-Golestan, F. and Hezarkhani, A.. “Discrimination geochemical interaction effects on mineralization at the polymetallic Glojeh deposit, NW Iran by interative backward quadratic modeling”. Acta Geochimica, 2019.
[28] Wackernagel, H.. “ Kriging Weights”. In Multivariate Geostatistics, 2003: 89-95, Springer.
[29] Samal, A.R., et al.. “Modelling spatial anisotropy of gold concentration data using GIS-based interpolated maps and variogram analysis: Implications for structural control of mineralization”. Journal of earth system science, 2011, 120: 583-593.
[30] Asghari, O., et al.. “The comparison between sequential gaussian simulation (SGS) of Choghart ore deposit and geostatistical estimation through ordinary kriging”. Australian Journal of Basic and Applied Sciences, 2009, 3: 330-341.
[31] Darabi-Golestan, F. and Hezarkhani, A.. “Evaluation of elemental mineralization rank using fractal and multivariate techniques and improving the performance by log-ratio transformation”. Journal of Geochemical Exploration, 2018, 189: 11-24.
