• separating geophysical anomalies in airborne radiometric data by applying fractal concentration-area model, tark 1:50,000 sheet, nw iran

    جزئیات بیشتر مقاله
    • تاریخ ارائه: 1389/07/20
    • تاریخ انتشار در تی پی بین: 1389/07/20
    • تعداد بازدید: 877
    • تعداد پرسش و پاسخ ها: 0
    • شماره تماس دبیرخانه رویداد: -
     geophysical airborne radiometric data have high importance for uranium exploration. in fact it is first step for radioactive mineral exploration. most important problem is data interpretation especially separating anomalies from background. one of modern technique for this operation is fractal methods. these are very useful and suitable for separating data distribution due to their fractal behavior in nature. concentration-area method is very useful and high level confidence especially for airborne data. in this study, fractal concentration-area (c-a) method is applied in airborne radiometric data interpretation collected from tark 1:50,000 sheet situated in nw iran.these data is included u, u/th and u/k. first, statistical parameters of these data were considered that it shown these has normal distribution. next, possible and probable anomalies were signed by traditional statistical method. then, u, u/th and u/k anomalies were separated by fractal c-a method and these results was comprised with traditional statistical results. finally, anomalies were controlled by field data.

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