Ghadimi, Feridon, Ghomi, Mohammad, Malaki, ٍEhsan. (1394). Using stream sediment data to determine geochemical anomalies by statistical analysis and fractal modeling in Tafrash Region, Central Iran. , 6(1), 45-61. doi: 10.22059/jgeope.2016.57821
Feridon Ghadimi; Mohammad Ghomi; ٍEhsan Malaki. "Using stream sediment data to determine geochemical anomalies by statistical analysis and fractal modeling in Tafrash Region, Central Iran". , 6, 1, 1394, 45-61. doi: 10.22059/jgeope.2016.57821
Ghadimi, Feridon, Ghomi, Mohammad, Malaki, ٍEhsan. (1394). 'Using stream sediment data to determine geochemical anomalies by statistical analysis and fractal modeling in Tafrash Region, Central Iran', , 6(1), pp. 45-61. doi: 10.22059/jgeope.2016.57821
Ghadimi, Feridon, Ghomi, Mohammad, Malaki, ٍEhsan. Using stream sediment data to determine geochemical anomalies by statistical analysis and fractal modeling in Tafrash Region, Central Iran. , 1394; 6(1): 45-61. doi: 10.22059/jgeope.2016.57821

Using stream sediment data to determine geochemical anomalies by statistical analysis and fractal modeling in Tafrash Region, Central Iran

Geopersia
مقاله 4، دوره 6، شماره 1 - شماره پیاپی 22287825، 2016، صفحه 45-61    اصل مقاله (1.42 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jgeope.2016.57821
نویسندگان
Feridon Ghadimi* 1؛ Mohammad Ghomi2؛ ٍEhsan Malaki3
1Department of Mining Engineering,Arak University of Technology
2PhD student Candidate, Amirkabir University of Technology, Department of Mining and Metallurgical Engineering, Tehran, Iran
3Department of Mining Engineering, Arak University of Technology, Arak,
چکیده
Iranian Cenozoic magmatic belt, known as Urumieh-Dokhtar, is recognized as an important polymetallic mineralization which hosts porphyry, epithermal, and polymetallic skarn deposits. In this regard, multivariate analyses are generally used to extract significant anomalous geochemical signature of the mineral deposits. In this study, stepwise factor analysis, cluster analysis, and concentration–area fractal model have been used to delineate geochemical anomalies associated with skarn mineralization, based on Au, Cu, Pb, Zn, Ag, Mo, W, Sn, and As stream sediment data. These results indicate that the Urumieh-Dokhtar belt potentially hosts Au skarn deposits. The hybrid method combining the statistical analysis and C-A fractal model is an effective tool to identify geochemical anomalies
کلیدواژه‌ها
Au Skarn Deposit؛ Concentration Area Fractal Model؛ Iran؛ Statistical Analysis؛ Stream Sediment
مراجع
آمار
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