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A new method for determining geochemical anomalies: U-N and U-A fractal models | ||
| International Journal of Mining and Geo-Engineering | ||
| مقاله 10، دوره 56، شماره 2، شهریور 2022، صفحه 181-190 اصل مقاله (1.35 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/ijmge.2021.321818.594907 | ||
| نویسندگان | ||
| Seyyed saeed Ghannadpour* ؛ Ardeshir Hezarkhani | ||
| Department of Mining Engineering, Amirkabir University of Technology (Tehran Polytechnic) | ||
| چکیده | ||
| Undoubtedly, determining the threshold of anomalies and separating geochemical anomalies from background is one of the most important stages of minerals exploration. In the discussion of the separation of geochemical anomalies from background, there are different methods that structural methods have shown much greater efficiency than nonstructural methods. Among structural methods (methods that consider the position and location of samples), U-statistic and fractal methods have a special place. In this study, by using the algorithm of the abovementioned methods and combining them, a new method as U values fractal model (U-N and U-A) is introduced for the first time. Then, the proposed method is employed to determine the boundaries of background and anomalous populations (about the gold (Au) and arsenic (As) elements in Susanvar district). Results show that in U-N and U-A fractal models, the first fracture boundary is much clearer and more accurate than previous fractal models (C-N and C-A) in the same condition. In U-N model, due to the nature of the U method algorithm, there is a discontinuity as the exact threshold between background and anomaly that in U-A model, this does not exist due to the homogenization of U values. In this method, the exact threshold between background and anomaly is determined by the U-statistic method and by its combination with the fractal method, in each population, sub-populations are identified more accurately and simply than the concentration fractal model. Finally, a lithogeochemical map of the study area is provided for Au and As which has been prepared using U-N and U-A fractal methods. In these maps (especially the prepared maps by U-A model), the delineated Au-As mineralization is closely associated with the defined Au ore indications in the study area. | ||
| کلیدواژهها | ||
| Anomalies delineation؛ Susanvar؛ U-Statistics؛ U-N؛ U-A fractal | ||
| مراجع | ||
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[1] Hawkes H E and Webb J S 1962 Geochemistry in mineral exploration, Harper and Row, New York, 415.
[2] Miesch A T 1981 Estimation of the geochemical threshold and its statistical significance; Journal of Geochemical Exploration. 16, 49-76.
[3] Sinclair A J 1989 Application of Probability Graphs in Mineral Exploration, the association of exploration geochemists, the association of exploration geochemists, 4th Edition.
[4] Sinclair A J 1991 A fundamental approach to threshold estimation in exploration geochemistry: Probability plots revisited; Journal of Geochemical Exploration. 41(1), 1–22.
[5] Rousseeuw P J, Croux C 1993 Alternatives to the Median Absolute Deviation; Journal of the American Statistical Association. 88(424), 1273-1283.
[6] Cheng Q, Agterberg F P and Ballantyne S B 1994 The separation of geochemical anomalies from background by fractal methods; Journal of Geochemical Exploration. 51, 109–130.
[7] Cheng Q, Agterberg F P and Bonham-Carter G F 1996 A spatial analysis method for geochemical anomaly separation; Journal of Geochemical Exploration. 56, 183–I95.
[8] Cheng Q 1999 Spatial and scaling modelling for geochemical anomaly separation; Journal of Geochemical Exploration Journal of Geochemical Exploration. 65(3), 175–194.
[9] Goncalves M A, Mateus A and Oliveria V 2001 Geochemical anomaly separation by multifractal modeling; Journal of Geochemical Exploration. 72, 91–114.
[10] Li C, Ma T and Shi J 2003 Application of a fractal method relating concentrations and distances for separation of geochemical anomalies from background; Journal of Geochemical Exploration. 77, 167–175.
[11] Zuo R 2011 Identifying geochemical anomalies associated with Cu and Pb–Zn skarn mineralization using principal component analysis and spectrum-area fractal modeling in the Gangdese Belt, Tibet (China); Journal of Geochemical Exploration. 111, 13–22.
[12] Afzal P, Khakzad A, Moarefvand P, Rashidnejad Omran N, Esfandiari B and Alghalandis Y F 2010 Geochemical anomaly separation by multifractal modeling in Kahang (Gor Gor) porphyry system, central Iran; Journal of Geochemical Exploration. 104, 34–46.
[13] Jodeiri Shokri B, Ramazi H, Doulati Ardejani F and Moradzadeh A 2014 A statistical model to relate pyrite oxidation and oxygen transport within a coal waste pile: case study, Alborz Sharghi, northeast of Iran; Environ. Earth. Sci. 71, 4693–4702.
[14] Ghannadpour S S, Hezarkhani A, Sharifzadeh M 2017 A method for extracting anomaly map of Au and As using combination of U-statistic and Euclidean distance methods in Susanvar district, Iran; Journal of Central South University. 24(11), 2693–2704.
[15] Afzal P, Fadakar Alghalandis Y, Khakzad A, Moarefvand P, Rashidnejad Omran N 2011 Delineation of mineralization zones in porphyry Cu deposits by fractal concentration–volume modelling; Journal of Geochemical Exploration. 108, 220–232.
[16] Shahbazi S, Ghaderi M, Afzal P 2021 Prognosis of gold mineralization phases by multifractal modeling in the Zehabad epithermal deposit, NW Iran; Iranian Journal of Earth Sciences. 13, 31-40.
[17] Kouhestani H, Ghaderi M, Afzal P, Zaw K 2020 Classification of pyrite types using fractal and stepwise factor analyses in the Chah Zard gold-silver epithermal deposit, central Iran; Geochemistry: Exploration, Environment, Analysis 20, 496-508.
[18] Shamseddin Meigooni M, Lotfi M, Afzal P, Nezafati N, Kargar Razi M 2021 Detection of rare earth element anomalies in Esfordi phosphate deposit of Central Iran, using geostatistical-fractal simulation; Geopersia. 11(1), 115-130.
[19] Nazarpour A 2018 Application of C-A fractal model and exploratory data analysis (EDA) to delineate geochemical anomalies in the: Takab 1:25,000 geochemical sheet, NW Iran; Iranian Journal of Earth Sciences. 10, 173-180.
[20] Yasrebi A B Hezarkhani A 2019 Resources classification using fractal modelling in Eastern Kahang Cu-Mo porphyry deposit, Central Iran. Iranian Journal of Earth Sciences 11, 56-67.
[21] Abdoli Sereshgi H, Ganji A, Ashja Ardalan A, Torshizian H, Taheri J 2019. Detection of metallic prospects using staged factor and fractal analysis in Zouzan region, NE Iran. Iranian Journal of Earth Sciences. 11(4), 256-266.
[22] Zadmehr F, Shahrokhi S V, 2019 Separation of geochemical anomalies by concentration-area and concentration-number methods in the Saqez 1: 100,000 sheet, Kurdistan. Iranian Journal of Earth Sciences. 11(3), 196-204.
[23] Kramar U 1995 Application of limited fuzzy clusters to anomaly recognition in complex geological environments; Journal of Geochemical Exploration. 55, 81–92.
[24] Cheng Q, Yaguang X and Eric G 2000 Integrated spatial and spectrum method for geochemical anomaly separation; Natural Resources Research. 9(1), 43–52.
[25] Ghannadpour S S, Hezarkhani A, Sabetmobarhan A 2017 The Parkam exploration district (Kerman, Iran): Geology, alterations, and delineation of Cu- and Mo-mineralized zones using U-spatial statistic with associated software development. Journal of Earth Sciences 28(2), 283–294.
[26] Ghannadpour S S, Hezarkhani A, Maghsoudi A, Farahbakhsh E 2015 Assessment of prospective areas for providing the geochemical anomaly maps of lead and zinc in Parkam district, Kerman, Iran; Geosciences Journal. 19(3), 431-440.
[27] Ghannadpour S S, Hezarkhani A 2016 Introducing 3D U-statistic method for separating anomaly from background in exploration geochemical data with associated software development; Journal of Earth System Science. 125(2), 387–401.
[28] Ghannadpour S S, Hezarkhani A 2020 Mineral potential mapping for Au and As using Gap statistic method in multivariate mode; Carbonates and Evaporites. 35(1), 1-2.
[29] Boyle R W, Jonasson I R 1973 The geochemistry of arsenic and its use as an indicator element in geochemical prospecting; Journal of Geochemical Exploration. 2, 251-296.
[30] Thornton I, Farago M 1997 The geochemistry of arsenic; In Arsenic Exposure and health effects: C.O. Abernathy; R.L. CALDERON, W.R. Chappell. (eds.), Chapman & Hall, London, UK, pp. 1-16.
[31] God R, Zemann J 2000 Native arsenic-realgar mineralization in marbles from Saualpe, Carinthia, Austria. Mineralogy and Petrology. 70, 37-53.
[32] Zhu Y, An F, Tan J 2011 Geochemistry of hydrothermal gold deposits: A review; Geoscience Frontiers. 2, 367-374.
[33] Hassanpour S, Afzal P 2013 Application of concentration–number (C-N) multifractal modeling for geochemical anomaly separation in Haftcheshmeh porphyry system, NW Iran; Arabian Journal of Geosciences, 6, 957–970.
[34] Nazarpour A, Omran N R, Paydar G R 2015 Application of multifractal models to identify geochemical anomalies in Zarshuran Au deposit, NW Iran; Arabian Journal of Geosciences, 8, 877-889.
[35] Momeni S, Shahrokhi S V, Afzal P, Sadeghi B, Farhadinejad T, Nikzad M R 2016 Delineation of the Cr mineralization based on the stream sediment data utilizing fractal modeling and factor analysis in the Khoy 1:100,000 sheet, NW Iran; Bulletin of the Mineral Research and Exploration. 152, 1–17.
[36] Ahmadfaraj M, Mirmohammadi M, Afzal P 2016 Application of fractal modeling and PCA method for hydrothermal alteration mapping in the Saveh area (Central Iran) based on ASTER multispectral data; International Journal of Mining and Geo-Engineering. 50(1), 37-48.
[37] Mandelbrot B B1983 The fractal geometry of nature. W.H. Freeman and company, San Francisco, New York, 468 p.
[38] Daya A A 2015 Comparative study of C-A, C-P, and N-S fractal methods for separating geochemical anomalies from background: a case study of Kamoshgaran region, northwest of Iran; Journal of Geochemical Exploration. 150, 52-63.
[39] Afzal P, Ahmadi K, Rahbar K 2017 Application of fractal-wavelet analysis for separation of geochemical anomalies; African Journal of Earth Science. 128, 27-36.
[40] Ghannadpour S S, Hezarkhani A 2015 Lead and zinc geochemical behavior based on geological characteristics in Parkam Porphyry Copper System, Kerman, Iran; Journal of Centeral of South University. 22, 4274–4290.
[41] Ghannadpour S S, Hezarkhani A, Sabetmobarhan A 2015 Some statistical analyses of Cu and Mo variates and geological interpretations for Parkam porphyry copper system, Kerman, Iran; Arabian Journal of Geosciences. 8(1), 345–355.
[42] Ghannadpour S S, Hezarkhani A 2015 Investigation of Cu, Mo, Pb, and Zn geochemical behavior and geological interpretations for Parkam porphyry copper system, Kerman, Iran; Arabian Journal of Geosciences. 8(9), 7273–7284.
[43] Ghannadpour S S, Hezarkhani A 2012 Determine the initial statistical specifications of Copper and molybdenum elements in Porphyry Copper ore deposit in Kerman. International Mining Congress and Exploration, Iran. (in Persian)
[44] Hezarkhani A, Ghannadpour S S 2015 Exploration Information Analysis, first ed. Amirkabir University of Technology (Tehran Polytechnic) press, Tehran. (In Persian)
[45] Hezarkhani A, Ghannadpour S S 2015 Geochemical behavior investigation based on K-Means Clustering (Basics, Concepts and Case Study), first ed. LAP LAMBERT Academic Publishing, Germany. | ||
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