Identification of Geochemical Anomalies Using Fractal and LOLIMOT Neuro-Fuzzy modeling in Mial Area, Central Iran | ||
| Journal of Mining and Environment | ||
| مقاله 7، دوره 11، شماره 1، فروردین 2020، صفحه 99-117 اصل مقاله (13.08 M) | ||
| نوع مقاله: Case Study | ||
| شناسه دیجیتال (DOI): 10.22044/jme.2019.8465.1727 | ||
| نویسندگان | ||
| M. Alipour Shahsavari* 1؛ P. Afzal2؛ A. Hekmatnejad3 | ||
| 1Department of Mining Engineering, Faculty of Engineering, Tehran University, Tehran, Iran | ||
| 2Department of Mining Engineering, South Tehran branch, Islamic Azad University, Tehran, Iran | ||
| 3Department of Mining Engineering, Advanced Mining Technology Center, University of Chile, Chile | ||
| چکیده | ||
| The Urumieh-Dokhtar Magmatic Arc (UDMA) is recognized as an important porphyry, disseminated, vein-type and polymetallic mineralization arc. The aim of this study is to identify and subsequently determine geochemical anomalies for exploration of Pb, Zn and Cu mineralization in Mial district situated in UDMA. Factor analysis, Concentration-Number (C-N) fractal model and Local Linear Model Tree (LOLIMOT) algorithm used for this purpose. Factor analysis utilized in recognition of the correlation between elements and their classification. This classified data used for training the LOLIMOT algorithm based on relevant elements. The results of the LOLIMOT algorithm represent anomalies in areas with no lithogeochemical samples. Although, the C-N log-log plot for target elements were generated based on stream sediment and lithogeochemical samples which could be delineated mineral potential maps of the target elements. Results obtained by the LOLIMOT and fractal modeling show that the SW and the Eastern parts of the area are proper for further exploration of Cu, Pb, and Zn. | ||
| کلیدواژهها | ||
| Concentration-Number (C-N) fractal model؛ Local Linear Model Tree (LOLIMOT)؛ Mial | ||
|
آمار تعداد مشاهده مقاله: 584 تعداد دریافت فایل اصل مقاله: 2,958 |
||