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Geochemical descriptions of iron-oxide targets by Prediction-Area plot and Concentration-Number fractal model in Esfordi, Iran.
- Source :
-
International Journal of Mining & Geo-Engineering . 2021, Vol. 57 Issue 2, p171-181. 11p. - Publication Year :
- 2021
-
Abstract
- This study serves the purpose of generating a geochemical Fe-bearing potential map. Stream sediment geochemical survey was employed by collecting 843 samples for analyzing 19 elements and oxides. Taking preprocessing of data (e.g. outlier correction and data normalization) into consideration, a Concentration-Number (C-N) fractal model was used to separate different geochemical populations of Fe2O3, TiO2, V, and the main multi-element factor in close spatial association with the Fe targeting. A prediction-area(P-A) plot was drawn for each variable to determine the weight of each geochemical indicator. Results indicate that the main geochemical factor with an ore prediction rate of 73%, has occupied 27% of the Esfordi area as favorable zones for further mining prospectivity. The Esfordias a favorable Fe-bearing zone is of special interest in the NE of the Bafq mining district that hosts important "Kiruna-type" Magnetite-Apatite deposits. In addition, a synthesized indicators map was prepared by implementing a data-driven multi-class index overlay in a similar fashion to the previous version of the method, upon which geochemical potential zones were mostly in the NE part of the Esfordi, intimately linked with intense fault density map. The significance of this study lies in localizing the most geochemical favorable zones through simultaneous consideration of the C-N and PA plots accompanied by the incorporation of known active mines and prospects to determine indicator weight. Of note is that the Mineral Potential Mapping(MPM) has higher efficiency over each geochemical indicator with an ore prediction rate of 78% and area occupation of 22%. [ABSTRACT FROM AUTHOR]
- Subjects :
- *IRON oxides
*ANALYTICAL geochemistry
*MAGNETITE
*APATITE
*DATA analysis
Subjects
Details
- Language :
- English
- ISSN :
- 23456930
- Volume :
- 57
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- International Journal of Mining & Geo-Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 155035650
- Full Text :
- https://doi.org/10.22059/IJMGE.2021.309744.594863