7 research outputs found

    Correlation between geology and concentration-volume fractal models: significance for Cu and Mo mineralized zones separation in the Kahang porphyry deposit (Central Iran)

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    Abstract This study identifies the major mineralized zones including supergene enrichment and hypogene enrichment in the Kahang Cu-Mo porphyry deposit which is located in Central Iran based on subsurface data and utilization of the concentration-volume (C-V) fractal model. Additionally, a correlation between results achieved from a C-V fractal model and geological models consisting of zonation, mineralography and alteration have been conducted in order to have an accurate recognition and modification of the main mineralized zones. Log-log plots indicate five geochemical populations for Cu and Mo in the deposit which means that mineralization commences with 0.075 % and 13 ppm for Cu and Mo (as the first thresholds) respectively. The main mineralization began for Cu ≥ 0.42 % and Mo ≥ 100 ppm and also enriched mineralization containing Cu ≥1.8 % and Mo ≥ 645 ppm which is located in the central part of the deposit. According to the C-V model, the main Cu-Mo mineralized zones occur in the hypogene zone, especially in the central, NW and NE parts of the Kahang deposit. The supergene enrichment zone derived via the C-V model is smaller than that in the geological model and is located in the central and eastern parts of the deposit. Results analysed by the C-V fractal model certify that the interpreted zones based on the fractal model are accurate. To certify this, a logratio matrix has been employed to validate the C-V fractal model for the Cu and Mo main mineralized zones</jats:p

    Using ETM⁺ and ASTER sensors to identify iron occurrences in the Esfordi 1:100000 mapping sheet of Central Iran

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    Many iron occurrences and deposits exist in the Central Iranian structural zone, especially in the Bafq district. The Esfordi 1:100,000 mapping sheet is located in this region and there are several iron mines and deposits, e.g. Chadormalu, Choghart, Seh-Chahoon, Mishdowan and Zaghia. The aim of this study is to identify and detect the iron bearing occurrences by utilizing the Landsat ETM⁺ and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite data. Several methods consist of Linear Band Prediction (LS-Fit), Matched Filtering (MF), Spectral Angle Mapper (SAM), Spectral Feature Fitting (SFF), Band Ratio (BR: 2/1 and 3/1) and Visual interpretation (RGB: 531) were used for this purpose. Structures were identified by visual interpretation of images and band combinations (RGB: 431). Target areas were found by LS-Fit, MF and SAM overlapping being situated in the North and the North-East, Central and North Western parts of the Esfordi mapping sheet which is now proposed for iron occurrences prospecting
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