Room Model Based Monte Carlo Simulation Study of the Relationship Between the Airborne Dose Rate and the Surface-Deposited Radon Progeny
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2010/01/01
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Description:The quantitative relationships between radon gas concentration, the surface-deposited activities of various radon progeny, the airborne radon progeny dose rate, and various residential environmental factors were investigated through a Monte Carlo simulation study based on the extended Jacobi room model. Airborne dose rates were calculated from the unattached and attached potential alpha-energy concentrations (PAECs) using two dosimetric models. Surface-deposited (218)Po and (214)Po were significantly correlated with radon concentration, PAECs, and airborne dose rate (p-values <0.0001) in both non-smoking and smoking environments. However, in non-smoking environments, the deposited radon progeny were not highly correlated to the attached PAEC. In multiple linear regression analysis, natural logarithm transformation was performed for airborne dose rate as a dependent variable, as well as for radon and deposited (218)Po and (214)Po as predictors. In non-smoking environments, after adjusting for the effect of radon, deposited (214)Po was a significant positive predictor for one dose model (RR 1.46, 95% CI 1.27-1.67), while deposited (218)Po was a negative predictor for the other dose model (RR 0.90, 95% CI 0.83-0.98). In smoking environments, after adjusting for radon and room size, deposited (218)Po was a significant positive predictor for one dose model (RR 1.10, 95% CI 1.02-1.19), while a significant negative predictor for the other model (RR 0.90, 95% CI 0.85-0.95). After adjusting for radon and deposited (218)Po, significant increases of 1.14 (95% CI 1.03-1.27) and 1.13 (95% CI 1.05-1.22) in the mean dose rates were found for large room sizes relative to small room sizes in the different dose models. [Description provided by NIOSH]
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ISSN:0017-9078
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Pages in Document:29-36
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Volume:98
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Issue:1
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NIOSHTIC Number:nn:20036295
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Citation:Health Phys 2010 Jan; 98(1):29-36
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Contact Point Address:Daniel J. Steck, Department of Physics, St. John's University, 109 Science Center, Collegeville, MN 56321
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Email:dsteck@csbsju.edu
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Federal Fiscal Year:2010
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Performing Organization:University of Iowa
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Peer Reviewed:True
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Start Date:20050701
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Source Full Name:Health Physics
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End Date:20290630
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Main Document Checksum:urn:sha-512:a828f4ea79ebcbc93105c60e7c7ac7ed0636a5b3646b0bc83016bb009bc13a37c988513e1315f229e84af41065c41ecf3ff68a10c473295d5836e46d3e91f6e3
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