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    •   صفحهٔ اصلی
    • نشریات انگلیسی
    • Journal of Mining and Environment
    • Volume 8, Issue 3
    • مشاهده مورد
    •   صفحهٔ اصلی
    • نشریات انگلیسی
    • Journal of Mining and Environment
    • Volume 8, Issue 3
    • مشاهده مورد
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    A fuzzy-based prognosis of ore mineralization potentials in Ramand region (Qazvin province)

    (ندگان)پدیدآور
    Abbaszadeh, S.Mehrnia, Seyed R.Senemari, S.
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    نوع مدرک
    Text
    Case Study
    زبان مدرک
    English
    نمایش کامل رکورد
    چکیده
    The Ramand region is a part of the magmatic belt in Urmieh-Dokhtar structural zone in Iran, located in the SW of BuinـZahra. This area mainly consists of felsic extrusions such as rhyolites and rhyodacites. Argillic alterations with occurrences of mineralized silica veins are abundant in most of the volcanic units. In this research work, we used the GIS facilities for modeling the Ramand geo-spatial databases according to the Fuzzy logic algorithms. The main phase of mineralization occurred in the altered regions and is located near the cross cut fault systems. Therefore, the main criteria for integration were the geological, structural, geophysical, and remotely sensed (Landsat7, ETM+) layers. Also we used a contoured aeromagnetic map for revealing and weighting lineaments. By the Fuzzy techniques applied, all the evidential themes were integrated to prognosis of ore mineralization potentials based on γ = 0.75. As a result, the hydrothermal alterations and their relevant post-magmatic mineralization were introduced in the south and eastern parts of the Ramand region by the fuzzification procedures. Our highlighted recommendation for more exploration activities is focused on the geophysical land surveys (electric and magnetic fields), and the geochemical sampling from mineralized regions in the depth and outcrops of alterations.
    کلید واژگان
    Alteration
    Mineralization
    Hydrothermal
    fuzzy logic
    Ramand
    Exploitation

    شماره نشریه
    3
    تاریخ نشر
    2017-07-01
    1396-04-10
    ناشر
    Shahrood University of Technology
    سازمان پدید آورنده
    Department of Mining Engineering, College of Engineering, Imam Khomeini International University, Qazvin, Iran
    Department of Geology, Payam Noor University, Qazvin, Iran
    Department of Mining Engineering, College of Engineering, Imam Khomeini International University, Qazvin, Iran

    شاپا
    2251-8592
    2251-8606
    URI
    https://dx.doi.org/10.22044/jme.2017.893
    http://jme.shahroodut.ac.ir/article_893.html
    https://iranjournals.nlai.ir/handle/123456789/242872

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