A weighted fuzzy aggregation GIS model in the integration of geophysical data with geochemical and geological data for Pb–Zn exploration in Takab area, NW Iran

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• 作者：M. Farzamian ; A. Kamkar Rouhani ; A. Yarmohammadi…
• 关键词：Pb–Zn mineralization ; Resistivity ; IP ; Geochemical surveys ; GIS ; Fuzzy logic
• 刊名：Arabian Journal of Geosciences
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：9
• 期：2
• 全文大小：5,376 KB
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• 作者单位：M. Farzamian (1)
  A. Kamkar Rouhani (2)
  A. Yarmohammadi (3)
  H. Shahi (4)
  H. A. Faraji Sabokbar (5)
  M. Ziaiie (2)
  
  1. Centro de Geofísica, Universidade de Lisboa, Campo Grande Ed. C8, 1749-016, Lisbon, Portugal
  2. Faculty of Mining and Geophysics, Shahrood University of Technology, Shahrood, Iran
  3. Tarbiat Modares University, Tehran, Iran
  4. Department of Mining Engineering, University of Gonabad, Gonabad, Iran
  5. Faculty of Geography, Tehran University, Tehran, Iran
  
• 刊物类别：Earth and Environmental Science
• 出版者：Springer Berlin Heidelberg
• ISSN：1866-7538

文摘

Detailed geophysical and geochemical surveys were carried out to determine Pb–Zn mineralization zones in Chichakloo area, east of Takab, Iran. Resistivity and induced polarization (IP) surveys were conducted along 10 parallel profiles on the dolomite unit, and also 292 samples were collected for lithogeochemical studies to assess the extents of Pb–Zn ore deposits in the study area. All exploration data were processed and modeled, and then the results were taken to a geographic information system (GIS) environment to generate a mineral potential map of the area to suggest more accurate or less risky exploration drilling targets. A fuzzy logic approach was used in this study to integrate exploration predictor maps. A new approach was used for fuzzification of the geochemical maps based on the geochemical mineralization probability index (GMPI) calculation, and an approach was proposed to infer a geophysical predictor map from three-dimensional (3D) IP and resistivity maps. Furthermore, the weighted Yager t-norm fuzzy operator was applied for the integration of exploration predictor maps to consider the importance of each map in the mineral potential map generation. The mineral potential map indicates a remarkable overlapping of geophysical and geochemical anomalies in the south of the study area with a north–south trend. The results of drilling boreholes in the area confirm the obtained mineral exploration results.