این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
International Journal of Mining and Geo-Engineering، جلد ۵۷، شماره ۲، صفحات ۱۵۹-۱۶۹
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Geochemical prospectivity of Cu-mineralization through Concentration-Number fractal modeling and Prediction-Area plot: a case study in east Iran
چکیده انگلیسی مقاله The Birjand region is a part of the South Khorasan province, situated in the structural-magmatic zone of eastern Iran. As a part of the continental shelf, it forms from subduction during the Cenozoic and subsequent continental collisions. This region is favorable for copper and gold mineralization for various geological reasons. The ultimate goal of this study is to create a Cu geochemical potential map to delimit prone regions for further mining activities. A total of 2468 geochemical samples were gathered to run a 20-element analysis. Taking data preprocessing approaches such as correction of outlier data and data normalization into consideration, a fractal graph through Concentration-Number (C-N) model was produced to isolate different geochemical populations of Cu, Pb, Zn, Ag, Ba, and Ni for Cu targeting. Then, a Prediction-Area (P-A) graph was plotted for each geochemical variable to determine the weight of each evidence map. The results show that Barium map indicates a prediction rate of 72% and specifying 28% of the studied areas as mineralization prone areas. The zinc geochemical map presents an ore prediction rate of 65% and 35% of area as potential zone. In addition, copper with an ore prediction of 56% covered 44% of the Birjand region. Finally, a hybrid evidence map was overlaid. Accordingly, the geochemical potential areas are further located towards the south and south-east of Birjand, which are closely related. Moreover, there are highly favorable areas in the middle part. It is noteworthy that the copper potential map has higher efficiency over each individual geochemical evidence, with an ore prediction rate of 75% and occupying 25% of the area as favorable zones.
کلیدواژه‌های انگلیسی مقاله Concentration-Number fractal (C-N),Prediction-Area fractal (P-A),MPM,Cu,birjand
نویسندگان مقاله Ashkan Seydi |
School of Mining Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.

Maysam Abedi |
School of Mining Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.

Abbas Bahroudi |
School of Mining Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.

Hosein Ferdowsi |
School of Mining Engineering, Faculty of Engineering, University of Tehran, Tehran, Iran.

نشانی اینترنتی https://ijmge.ut.ac.ir/article_90236_d714131d3b35946bd3153f4abcc58600.pdf
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات