Remote Sensing
Mina Zamyad; Peyman Afzal; Mohsen Pourkermani; Reza Nouri; Mohammadreza Jafari
Abstract
Tirka area is situated in NE Iran as a part of the TCMB which consists of Paleogene sediments and volcanic rock units with a combination of Eocene intermediate to basic rocks. The research aim is to determine the alteration zones using C-N fractal model based on ASTER satellite images. First, the ASTER ...
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Tirka area is situated in NE Iran as a part of the TCMB which consists of Paleogene sediments and volcanic rock units with a combination of Eocene intermediate to basic rocks. The research aim is to determine the alteration zones using C-N fractal model based on ASTER satellite images. First, the ASTER data was processed using SFF method for determination of iron oxide, propylitic, phyllic, and argillic alteration zones. The C-N fractal model is utilized for the separation of different parts of alteration zones. The results derived via the C-N fractal model showed that the main trend of the alteration zones is in NE-SW direction. Also, based on the C-N log-log plots, there are six geochemical populations for iron oxide alteration, four geochemical populations for argillic and phyllic alterations, and five geochemical populations for propylitic alteration. There is a high intensity of alteration zones commences with 223 for iron oxide, 204 for argillic, 199 for propylitic and phyllic alteration zones. In order to validate the results, field observations and petrographical studies based on thin-polish sections were carried out. These data confirmed the alteration zones obtained by the modeling. the data obtained from the combination methods, were verified by Logratio matrix,
Masoumeh Nabilou; Mehran Arian; Peyman Afzal; Ahmad Adib; Ahmad Kazemi Mehrnia
Abstract
The multifractal modelling is an effective approach for separation of geological and mineralized zones from the background. Following cases are addressed in this study; Concentration-Distance to Major Fault structures (C-DMF) fractal model and distribution of the known Fe indices/mines in the Bafgh ...
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The multifractal modelling is an effective approach for separation of geological and mineralized zones from the background. Following cases are addressed in this study; Concentration-Distance to Major Fault structures (C-DMF) fractal model and distribution of the known Fe indices/mines in the Bafgh area to distinguish the Fe mineralization based on their distance to basement faults, surface faults and master joints, using remote sensing information, airborne geophysics information and field surveys. Application of the C-DMF model for the classification of Fe mineralization in the Esfordi and Behabad 1: 100,000 sheets reveals that the main Fe mineralizations have a strong correlation with their distance to the major and basement faults. Accordingly, the distances of Fe mineralization that has the grades upper than 55% in this area )43%≤S≤60%), are lower than 1 km related to basement faults, while such distance for this threshold is 2344<DMJ≤1778 meter for the master joint and also for the faults of 1:100,000 Behabad and Esfordi geology sheets in 43%S≤60% threshold (for the graides) the distances are 3162<DGF≤4365 meter to the faults. This indicates a positive correlation between Fe mineralization and distance to the basement faults. On the other words, the proximity evidence for the Precambrian high grades Fe deposits related to basement faults indicates syn-rifting tectonic events. This C-DMF fractal model can be used in exploration of the magmatic and hydrothermal ore deposits.
H Dadashzadeh Ahari; P Afzal; N Rashidnejad Omran
Abstract
Separation of high grade from low grade veins and veinlets is very important operation in vein type deposits, especially in gold deposits because low value variations are very significant in their mineral exploration. In this paper, Concentration-Volume (C-V) fractal model was utilized for separation ...
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Separation of high grade from low grade veins and veinlets is very important operation in vein type deposits, especially in gold deposits because low value variations are very significant in their mineral exploration. In this paper, Concentration-Volume (C-V) fractal model was utilized for separation and classification of gold veins in the Qolqoleh deposit, which is located in the Kordestan province, NW of the Sanandaj-Sirjan metamorphic structural zone. Based on the obtained results from the model, different populations consisting of wall rocks, low grade, moderately grade, high grade and enriched zones were separated in the deposit. Rock types of the deposit were correlated with resulted mineralized zones by log ratio matrix. The most parts of the deposit have Au values lower than 3.98 ppm including low and moderately grade veins. However, mineralized veins hosted in chlorite-schists and this can be one of the exploration keys for gold prospecting in other parts of the Sanandaj-Sirjan zone.
