OJG  Vol.4 No.8 , August 2014
Radioactive Anomalies in 1:50000 Dehbakri Sheet, South of Kerman Province, Iran
ABSTRACT

Using airborne radiometric geophysical data, one can easily investigate a wide region in a short time and with little cost to finally find areas that are rich in radioactive elements. In this research, the uranium exploration data were first organized, filtered and classified and then the frequency distribution tables and histograms were drawn. After drawing the histograms, the statistical parameters for radioactive elements were calculated. The separation of anomaly populations was done on the basis of distribution around mean value, that is, the resulting mean, mean + 1SD, mean + 2SD, and mean + 3SD were assumed to equal to background, threshold value, the possible anomaly and the probable anomaly, respectively. In the end, representative maps of anomalies and separation of anomaly populations from the background were presented based on classical statistical calculations.


Cite this paper
Jafari, H. and Yazdi, A. (2014) Radioactive Anomalies in 1:50000 Dehbakri Sheet, South of Kerman Province, Iran. Open Journal of Geology, 4, 399-405. doi: 10.4236/ojg.2014.48031.
References
[1]   Hasani Pak, A.A. and Sharafoldin, M. (2001) The Analysis of Exploration Data (The Differentiation of Background Values from Anomaly, Engineering Probability and Statistics, Ore Reserve Estimation). Tehran University Press, Tehran.

[2]   Dickson, B.L. (2004) Recent Advance in Aerial Gamma Ray Surveying. Journal of Environmental Radioactivity, 76, 225-236. http://dx.doi.org/10.1016/j.jenvrad.2004.03.028

[3]   Hasani Pak, A.A. (1998) Geostatistics. Tehran University Press, Tehran.

[4]   Sami, H. and Abd, N. (2001) Evaluation of Airborne Gamma Ray Spectrometric Data for the Missikat Uranium Deposit, Eastern Desert Egypt. Applied Radiation and Isotops, 54, 497-507.
http://dx.doi.org/10.1016/S0969-8043(99)00255-9

[5]   IAEA-TECDOC (2003) Guidelines for Radio Element Mapping Using Gamma Ray Spectrometry Data.

 
 
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