SJENICA, A NEWLY IDENTIFIED RADON PRIORITY AREA IN SERBIA, AND RADON DATA CORRELATED WITH GEOLOGICAL PARAMETERS USING THE MULTIPLE LINEAR REGRESSION MODEL, Carpathian Journal of Earth and Environmental Sciences, February 2019, Vol. 14, No. 1, p. 235 - 244; DOI:10.26471/cjees/2019/014/075 - Carpathian Journal of Earth and Environmental Sciences

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Zora S. ŽUNIĆ¹, Zdenka STOJANOVSKA², Blažo BOEV³, Ajka ŠORŠA⁴, Igor ČELIKOVIĆ¹, Zoran ĆURGUZ ⁵, Tryggve RONNQUIST⁶, Aco JANIĆIJEVIĆ⁷ & Dragan ALAVANTIĆ¹

¹Vinča Institute of Nuclear Sciences, University of Belgrade, Belgrade, Serbia email:icelikovic@vin.bg.ac.rs

²Faculty of Medical Sciences, Goce Delčev University, Štip, Republic of Macedonia

³Faculty of Natural and Technical Sciences, Goce Delčev University, Štip, Republic of Macedonia

⁴Croatian Geological Survey, Zagreb, Croatia

⁵University of East Sarajevo, Faculty of Transport Doboj, Republic of Srpska, Bosnia and Herzegovina

⁶Radonova, Box 6522, SE-751 38 UPPSALA, Sweden

⁷Faculty of Technology and Metallurgy, University of Belgrade, Belgrade, Serbia

SJENICA, A NEWLY IDENTIFIED RADON PRIORITY AREA IN SERBIA, AND RADON DATA CORRELATED WITH GEOLOGICAL PARAMETERS USING THE MULTIPLE LINEAR REGRESSION MODEL, Carpathian Journal of Earth and Environmental Sciences, February 2019, Vol. 14, No. 1, p. 235 - 244; DOI:10.26471/cjees/2019/014/075

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The paper deals with the analysis of the annual indoor radon concentrations variations due to different geological parameters of Sjenica community, Western Serbia. The measured ²²²Rn concentrations were ranging from 10 to 1130 Bq/m³. In 14% of the buildings, the radon action level of 300 Bq/m³ is exceeded, indicating that Sjenica community could be characterized as a radon priority area. Each of 35 measuring location was georeferenced and corresponding lithostratigraphic units and geological period was assigned. Data were analyzed using the multiple linear regression (MLR) method and two predictive models were developed. The MLR model generated by the geological periods explained 17% of the radon variability while, the better one, was the lithostratigraphic MLR model, which explained 52% of the radon variability. Analysis has shown that lithostratigraphic units are important parameters in the prediction of radon levels.