Indoor Radon Concentration Related to Different Radon Areas and Indoor Radon Prediction

World Multidisciplinary Earth Sciences Symposium 2017

Šenitková, Ingrid Juhásová^1 ; Šál, Jii^1

Department of Civil Engineering, Institute of Technology and Business in eské Budjovice, Okruni 517/10, eské Budjovice

370 01, Czech Republic^1

关键词: Indoor radon concentrations;    Mathematical approach;    Non-linear least squares;    Parametric regression;    Radon concentrations;    Reduction techniques;    Technical building codes;    Underground construction;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/95/2/022053/pdf
DOI  :  10.1088/1755-1315/95/2/022053

来源: IOP

【 摘 要 】

Indoor radon has been observed in the buildings at areas with different radon risk potential. Preventive measures are based on control of main potential radon sources (soil gas, building material and supplied water) to avoid building of new houses above recommended indoor radon level 200 Bq/m3. Radon risk (index) estimation of individual building site bedrock in case of new house siting and building protection according technical building code are obligatory. Remedial actions in buildings built at high radon risk areas were carried out principally by unforced ventilation and anti-radon insulation. Significant differences were found in the level of radon concentration between rooms where radon reduction techniques were designed and those where it was not designed. The mathematical model based on radon exhalation from soil has been developed to describe the physical processes determining indoor radon concentration. The model is focused on combined radon diffusion through the slab and advection through the gap from sub-slab soil. In this model, radon emanated from building materials is considered not having a significant contribution to indoor radon concentration. Dimensional analysis and Gauss-Newton nonlinear least squares parametric regression were used to simplify the problem, identify essential input variables and find parameter values. The presented verification case study is introduced for real buildings with respect to various underground construction types. Presented paper gives picture of possible mathematical approach to indoor radon concentration prediction.