Targeting of Porphyry Copper Mineralization Using a Continuous-based Logistic Function Approach in the Varzaghan District, North of Urumieh-Dokhtar Magmatic Arc
محل انتشار: مجله معدن و محیط زیست، دوره: 16، شماره: 4
سال انتشار: 1404
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 27
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شناسه ملی سند علمی:
JR_JMAE-16-4_016
تاریخ نمایه سازی: 17 خرداد 1404
چکیده مقاله:
Mineral prospectivity mapping (MPM) is a multi-step and complex process designed to narrow down the target areas for exploratory activities in subsequent stages. To pinpoint promising zones of porphyry copper mineralization in the Varzaghan district, NW Iran, various exploration evidence layers were employed in alignment with the conceptual model of these deposits. These layers encompass fault density, proximity to intrusive rocks, multi-element geochemical anomalies, and distances to phyllic and argillic alterations. The geochemical anomaly maps, recognized as the most effective layers, were generated through staged factor analysis (SFA) and the geochemical mineralization probability index (GMPI). Other layers were weighted using a logistic function, and their values were transformed into ۰ -۱ interval. Ultimately, to integrate the weighted layers, the fuzzy gamma operator and the geometric average method were applied. The normalized density index and prediction-area (P-A) plot were employed to evaluate the MPM models. The findings indicate that the developed models possess considerable validity and can be effectively utilized for planning future exploration endeavors.
کلیدواژه ها:
نویسندگان
Mobin Saremi
Department of Mining Engineering, Amirkabir University of Technology, Tehran, Iran
Abbas Maghsoudi
Department of Mining Engineering, Amirkabir University of Technology, Tehran, Iran
Reza Ghezelbash
School of Mining Engineering, College of Engineering, University of Tehran, Tehran, Iran
mahyar yousefi
Faculty of Engineering, Malayer University, Malayer, Iran
Ardeshir Hezarkhani
Department of Mining Engineering, Amirkabir University of Technology, Tehran, Iran
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