TN87 : A GIS baxse Weight-of-Evidence Model Mineral Potential Mapping of Copper (Mo) Porphyry Lut Region in East of Iran
Thesis > Central Library of Shahrood University > Mining, Petroleum & Geophysics Engineering > MSc > 2008
Authors:
Saeed Yousefi [Author], Mansour Ziaii[Supervisor], Abolghasem Kamkar Rouhani[Supervisor], Mehdi Ziaei [Advisor]
Abstarct: Dehsalm area is located in arid environment, Marginal Lut and in copper mextallogenic belt related to Nayband fault. Mineral exploration in arid environment is associated with many difficulties due to lack of rock outcrops and wind sediment coverings and also dominant conditions of mechanical weathering compared to chemical weathering. In order to remove these difficulties, optimization of exploration operations and integration of exploration laxyers in GIS environment can be proposed. The aim of this research is to produce mineral potential map of porphyritic copper and molybdenum using integration of exploration information in this area. One of common methods for producing a mineral potential map is weight of evidence (WOFE). In this technique, the weight of laxyers and maps are determined using specifications of known locations as training data. The limitation of this technique is its incapability in separation of hidden mineralization from eroded mineralization. To solve this problem and also to make priority of determined mineral potential areas, this technique was combined with geochemical Zonality method. In the study area, using 11 mineral occurrences indices as training data, the weight of remote sensing processed results, geology, stream sediment geochemistry and airborne magnetic were determined and then the relevant binary maps were produced. After computations for WOFE and the binary maps was carried out and in next step, the binary maps were combined and the posterior probability mineralization map from the area was obtained. baxse on obtained results, 5 mineral potential areas having totally 1 km2 were determined. these areas were given preferences using Zonality method. Field observations and previous researches in this area confirm the results of combination of WOFE and Zonality methods.
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