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Cheng, Q.M., 1999. Spatial and scaling modelling for geochemical anomaly separation. Journal of Geochemical Exploration, 65(3), 175-194.

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Article

Identification of Spatial Distribution of Geochemical Anomalies Based on GIS and C-A Fractal Model – A Case Study of Jiurui Copper Mining Area

1Hanoi University of Natural Resources and Environment, Hanoi, Vietnam


Journal of Geosciences and Geomatics. 2016, Vol. 4 No. 2, 36-41
DOI: 10.12691/jgg-4-2-3
Copyright © 2016 Science and Education Publishing

Cite this paper:
Anh Huy Hoang, Tien Thanh Nguyen. Identification of Spatial Distribution of Geochemical Anomalies Based on GIS and C-A Fractal Model – A Case Study of Jiurui Copper Mining Area. Journal of Geosciences and Geomatics. 2016; 4(2):36-41. doi: 10.12691/jgg-4-2-3.

Correspondence to: Tien  Thanh Nguyen, Hanoi University of Natural Resources and Environment, Hanoi, Vietnam. Email: tdgis_ntthanh@163.com

Abstract

Identification of spatial distribution of geochemical anomalies for mineral exploration is a fundamantal issue in the field of exploration geochemistry. Conventional methods are hard to identify geochemical anomalies due to extreme values. In this study, C-A fractal model is first applied to identify anomalies, GIS is then used to visualized the results. 1482 geochemical analytical data of Cu ore-forming element from Jiurui copper mining area are used as as one experiment. The results show that this method can effectively identify spatial distribution of geochemical anomalies. These anomalous areas can be used to interpret possible origins of mineralization, which is agreement with petrological analysis and field survey results.

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