THE INFLUENCE OF THE RADON VARIABILITY ON DOSE ASSESSMENT VLADIMIR UDOVIČIĆ1, ALEKSANDAR DRAGIĆ1, RADOMIR BANJANAC1, DEJAN JOKOVIĆ1, BOJANA GRABEŽ1, JELENA FILIPOVIĆ2, ZORA S. ŽUNIĆ2 1Institute 2Institute of Physics, University of Belgrade, Serbia, udovicic@ipb.ac.rs of Nuclear Sciences “Vinča”, ECE LAB, University of Belgrade, Serbia, ecelab@vinca.rs Abstract. The radon dose assessment is based on the recommended formula proposed by UNSCEAR and ICRP. There is still some misunderstanding in the two different approaches on radon dose assessments regarding how to transform radon concentration to the radon dose. One model is based on epidemiological assessments (ICRP) and the other one is evaluated from physical dosimetry (UNSCEAR). Also, it is very important to evaluate accurate annual radon concentration due to very complex indoor radon behavior. This task is not trivial and mostly come up from the radon variability. The aim of this work is to investigate the influence of the radon variability on dose assessment. For this purpose, we used the data sets from the indoor radon measurements performed in one-family dwelling house in Serbia. Key words: Radon dose, Variability Introduction: Radon is a unique natural element since it is a gas, noble and radioactive in all of its isotopes. The radon contribution to the annual effective dose from all natural radioactive sources is significant (about 55%). It is very important to get accurate radon dose estimation. The radon dose assessment is based on the recommended formula proposed by UNSCEAR and ICRP. There is still some misunderstanding in the two different approaches on radon dose assessments regarding how to transform radon concentration to the radon dose [1]. Indoor radon concentration can vary significantly due to a large number of factors which include the local geology, soil permeability, building and lifestyle characteristics and meteorological parameters. Based on the measurements worldwide, there are two main periodicities in the indoor radon behavior, the daily and seasonal variability [2]. The influence of the radon variability to the radon dose assessments is the subject of the research in many countries [3], [4], [5], [6]. The aim of this work is to investigate the influence of the daily radon variability on dose assessment. For this purpose, we used data sets from the indoor radon measurements performed in one-family dwelling house in Serbia. Short-term indoor radon measurements: The radon concentration, as a physical quantitate has a one of the largest number of the methods to measure. All of them may be divided in the two groups. One is the long-term measurements, mostly performed with passive integrated measuring devices based on the nuclear track detectors, which is due to their low cost, simplicity and characteristics have ability to collect information from a large number of the measurement points at the same time, so they are used in the large radon mapping projects. The second group of the radon measurements methods are short-term measurements This type of measurements are performed with much more complex and expensive passive or active (pump air sampling) continuous measuring devices. The radon monitor is used to investigate the daily variations in the radon concentrations. For this type of short-term measurements the SN1029 radon monitor was used (manufactured by the Sun Nuclear Corporation, NRSB approval-code 31822). The device consists of two diffused junction photodiodes as a radon detector, and is furnished with sensors for temperature, barometric pressure and relative humidity. The user can set the measurement intervals from 30 min to 24 h. The radon monitor device records radon and atmospheric parameters readings every one hour in the one-family dwelling house in Belgrade, Serbia. The data are stored in the internal memory of the device and then transferred to the personal computer. The data obtained from the radon monitor for the temporal variations of the radon concentrations over a long period of time enable the study of the shortterm periodical variations. The selected house is a typical one-family dwelling house building with standard construction materials such as blocks of brick, concrete, mortar. The house is thermally insulated with Styrofoam. In the summer time, the house is naturally ventilated. Air conditioning device is used during the hottest part of summer. The indoor radon measurements were done in the living room and the bedroom. The usually lifestyle means staying in the living room for a period of 16 up to 24 hours in the working days of the week. The sleeping time is from 24 to 08 hours. In the summer, the stay in the house is reduced. The opposite situation is in the autumn and winter, when the most of the time, inhabitants stay in houses. The measurements were performed in the August and September for the three days in each room separately. Results and discussion: The time-series of the indoor radon measurements performed in the living room and bedroom in the August and September for the three days in the one-family dwelling house in Belgrade are shown in Figures (see Fig. 1 and Fig. 2). other side, there is positive correlation between radon concentration and the relative humidity. The Pearson correlation coefficients between radon concentration and relative humidity are 0.47 and 0.67 for the living room and bedroom, respectively. Fig. 2 The short-term indoor radon measurements performed in the August and September for the three days in the bedroom The special attention was made to the results of the mean radon concentrations based on the short-term measurements. The results are shown in Table 1. Table 1 Title of table (Style Table title) Fig. 1 The short-term indoor radon measurements performed in the August and September for the three days in the living room The short-term measurements have shown that there are temporal variations on daily basis. The differences between minimum and maximum value are more intensive in the September than in the August. Also, it is obvious that daily variations of the indoor radon concentrations may be extreme (up to 600 Bqm3, see Fig. 1). The SN1029 radon monitor has sensors for temperature, barometric pressure and relative humidity. The Pearson correlation coefficient between radon concentration and the indoor temperature in both rooms is -0.5, which shows anticorrelation between two parameters, as it present in [7]. On the 2 Month Living room Bedroom Mean/Averaged Mean/Averaged from 16 to 24 hours from 24 to 08 hours August 50.50/58.71 64.96/58.98 September 150.05/66.26 210.74/278.48 Besides the mean radon concentrations, it is also obtained the radon concentration averaged over 16 to 24 hours for the living room and 24 to 08 hours for the bedroom. The results show a big difference between mean radon concentrations in the September and August in both rooms, due to seasonal radon variability (the ratio is about three). Also, there is a deviation from the mean value of the radon concentrations averaged over different period of the day due to lifestyle. In the all short-term measurements, the radon concentration has maximum in the morning (07:30) and minimum in the afternoon (16:30). Conclusions: Indoor radon concentration varies daily and seasonally, mainly due to the changes of the atmospheric parameters (temperature, atmospheric pressure and relative humidity) and the exchange rate between indoor and outdoor air. For this reason, it is important to investigate short-term variations of the indoor radon concentrations because the short-term variation during the day may be extreme. Also, in the laboratory with the the system for radon reduction and under controlled experimental conditions (indoor– outdoor air exchange rate was constant; the influence of the behaviour of the people, for example opening and closing the door of the laboratory, was minimized), . there is significant one day radon periodicity [8], [9] The results present in this work show that it is difficult to estimate the annual radon concentration due to very complex indoor radon behavior. This task is not trivial and mostly come up from the radon variability. In many recent published articles, this issue is the subject of the research [10], [11]. One of the conclusions is that must be used the correction factors for determination of annual average radon concentration resulting from seasonal and also daily variability, based on the database of the short and longterm indoor radon measurements 4. 5. 6. 7. 8. 9. 10. Acknowledgement: The paper is a part of the research done within the project 43002 of the Ministry of Education and Science of the Republic of Serbia. 11. REFERENCES 1. J. Chen, A Review of Radon Doses, Radiation Protection Management • Volume 22, No. 4, 2005, pp.27-31. 2. S.A. Durrani and R. Ilić, Radon Measurements by Etched Track Detectors: Applications in Radiation Protection, Earth Sciences and the Environment, World Scientific Publishing, Singapore, 1997. 3. Norbert Kávási, Yosuke Kobayashi, Tibor Kovács, János Somlai, Viktor Jobbágy, Katalin Nagy, Eszter Deák, István Berhés, Tamás Bender, Tetsuo Ishikawa, Shinji Tokonami, Janja Vaupotič, Shinji Yoshinaga, and Hidenori Yonehara, Effect of radon measurement methods on dose estimation, Radiat Prot Dosimetry, 145(2-3), 2011, pp. 224-232. L. Thinova, K. Rovenska, Radon dose calculation methodology for underground workers in the Czech Republic, Radiat Prot Dosimetry, 145(2-3), 2011, pp. 233-237. A. Podstawczyńska, K. Kozak, W. Pawlak, J. Mazur, Seasonal and diurnal variation of outdoor radon (222Rn) concentrations in urban and rural area with reference to meteorological conditions, Nukleonika 55(4), 2010, pp. 543-547. C.J. Groves-Kirkby , A.R. Denman, R.G.M. Crockett, P.S. Phillips, A.C. Woolridge, G.K. Gillmore, Timeintegrating radon gas measurements in domestic premises: comparison of short-,medium- and long-term exposures, Journal of Environmental Radioactivity 86, 2006, pp. 92-109. Maria Karpińska, Zenon Mnich, Jacek Kapała, Krzysztof Antonowicz, Maciej Przestalski, Time changeability in radon concentration in one-family dwelling houses in the northeastern region of Poland, Radiat Prot Dosimetry, 113(3), 2005, pp. 300-307. V. Udovičić, B. Grabež, A. Dragić, R. Banjanac, D. Joković, B. Panić, D. Joksimović, J. Puzović, I. Aničin, Radon problem in an underground low-level laboratory, Radiation Measurements 44, 2009, pp. 1009-1012. V. Udovičić, I. Aničin, D. Joković, A. Dragić, R. Banjanac, B. Grabež, N. Veselinović, Radon Time-Series Analysis in the Underground Low-Level Laboratory in Belgrade, Serbia, Radiation Protection Dosimetry 145 (2-3), 2011, pp. 155-158. A.R. Denman, R.G.M. Crockett, C.J. Groves-Kirkby, P.S. Phillips, G.K. Gillmore, A.C. Woolridge, The value of Seasonal Correction Factors in assessing the health risk from domestic radon—A case study in Northamptonshire, UK, Environment International 33, 2007, pp. 34–44. K. Kozak, J.Mazur, B.Kozowska, M.Karpinska, T.A.Przylibski, K.Mamont-Ciesla, D. Grzadziel, O.Stawarz, M.Wysocka, J.Dorda, A.Zebrowski, J.Olszewski, H.Hovhannisyan, M. Dohojda, J.Kapala, I.Chmielewska, B.Klos, J.Jankowski, S.Mnich, R.Kolodziej, Correction factors for determination of annual average radon concentration in dwellings of Poland resulting from seasonal variability of indoor radon, Applied Radiation and Isotopes 69, 2011, pp. 1459–1465. 3