Integrated application of multivariate statistics and fractal analysis to lithogeochemical data at the metallogenic district Dora-Francisco in Pinar del Río

Authors

  • Amadú Baldé UPR
  • José Lastra-Rivero UPR

Keywords:

SEDEX deposits, geochemical anomalies, multivariate statistical analysis, fractal analysis, geochemical metallotec.

Abstract

An integrated re-interpretation of the geochemical metallotec was carried out at Dora-Francisco metallogenic district. The spatial disposition, delimitation, and composition of lithogeochemical anomalies and its link with the different styles of exhalative-sedimentary mineralization (SEDEX) were the starting point. A database was prepared with the analytical results of Ag, Ba, Cu, Co, Mo, Pb and Zn in lithogeochemical samples of the study region. These simple geochemical variables wer classified by analyzing the factors and two new complex geochemical variables were obtained, each one representative of a mineralization style: stratiform pyrite-polymetallic and copper stockwork. The fractal analysis by the concentration-area method was used to estimate the background-anomaly limit (threshold) of the complex geochemical variables, giving rise to the complex geochemical maps. The results of the cartography of these geochemical anomalies represent each geochemical metallotec type linked to its mineralization style, which is the basis for its integration to other metallotec (lithological, structural, mineralogical, and geomorphological) in order to create maps of mineral favorability.

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References

Burov, V.; Martínez, D.; Yusainov, Y.; Fernández, R.; Dervenev, V. y Uspensky, A. 1985: Informe de los trabajos de levantamiento geológico a escala 1:50 000 realizados en la parte occidental de la provincia de Pinar del Río en 1981-85. Oficina Nacional de Recursos Minerales, La Habana.

Carranza, E. J. M. 2009: Geochemical anomaly and mineral prospectivity mapping in GIS. In: Handbook of Exploration and Environmental Geochemistry. Vol. 11. Oxford, USA: Elsevier, 351 p.

Fernández, R. 1993: Confección del mapa pronóstico, asistido por métodos matemáticos, para la mineralización sulfurosa en el distrito metalogénico Dora-Francisco en Pinar del Río. Tesis doctoral. Inst. Sup. Polit. José A. Echevarría, La Habana, 125 p.

Huang, J. y Zhao, P. 2015: Application of a multi-fractal model for identification of Cu, Au and Zn anomalies in Western Yunnan, Southwestern China. Geochemistry: Exploration, Environment, Analysis, 15(1): 54-61.

João-Mateus, A. C. 2002: Procedimiento para el pronóstico metalogénico y su validación en sectores de prospección. Tesis de maestría. Universidad de Pinar del Río, 64 p.

Kelepertsis, A.; Argyraki, A. y Alexakis, D. 2006: Multivariate statistics and spatial interpretation of geochemical data for assessing soil contamination by potentially toxic elements in the mining area of Stratoni, north Greece. Geochemistry: Exploration, Environment, Analysis, 6(4): 349–355.

Lastra, J. F. 1998: Criterios geoquímicos para la prospección de mineralización sulfurosa en el distrito metalogénico Dora-Francisco. Tesis doctoral. Universidad de Pinar del Río, 100 p.

Lastra, J. F. 2001: Pronóstico geoquímico de mineralización sulfurosa en el distrito metalogénico Dora Francisco, Cuba occidental. Minería y Geología, 18(3-4): 11-19.

Melchior, A.; Dejanghe, L. y Hughes, G. 1996: A geomicrobiological study of soils collected from auriferous areas of Argentina. Journal of Geochemical Exploration, 56(3): 219-227.

Yousefi, M.; Kamkar-Rouhani, A. y Carranza, E. J. M. 2014: Application of staged factor analysis and logistic function to create a fuzzy stream sediment geochemical evidence layer for mineral prospectivity mapping. Geochemistry: Exploration, Environment, Analysis, 14(1): 45-58.

Published

2018-04-04

How to Cite

Baldé, A., & Lastra-Rivero, J. (2018). Integrated application of multivariate statistics and fractal analysis to lithogeochemical data at the metallogenic district Dora-Francisco in Pinar del Río. Minería & Geología, 34(2), 136–150. Retrieved from https://revista.ismm.edu.cu/index.php/revistamg/article/view/art2_No2_2018

Issue

Vol. 34 No. 2 (2018): Abril-Junio

Section

Geología
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