Document Detail


Study of indoor radon distribution using measurements and CFD modeling.
MedLine Citation:
PMID:  24929505     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Measurement and/or prediction of indoor radon ((222)Rn) concentration are important due to the impact of radon on indoor air quality and consequent inhalation hazard. In recent times, computational fluid dynamics (CFD) based modeling has become the cost effective replacement of experimental methods for the prediction and visualization of indoor pollutant distribution. The aim of this study is to implement CFD based modeling for studying indoor radon gas distribution. This study focuses on comparison of experimentally measured and CFD modeling predicted spatial distribution of radon concentration for a model test room. The key inputs for simulation viz. radon exhalation rate and ventilation rate were measured as a part of this study. Validation experiments were performed by measuring radon concentration at different locations of test room using active (continuous radon monitor) and passive (pin-hole dosimeters) techniques. Modeling predictions have been found to be reasonably matching with the measurement results. The validated model can be used to understand and study factors affecting indoor radon distribution for more realistic indoor environment.
Authors:
Neetika Chauhan; R P Chauhan; M Joshi; T K Agarwal; Praveen Aggarwal; B K Sahoo
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-6-12
Journal Detail:
Title:  Journal of environmental radioactivity     Volume:  136C     ISSN:  1879-1700     ISO Abbreviation:  J Environ Radioact     Publication Date:  2014 Jun 
Date Detail:
Created Date:  2014-6-15     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8508119     Medline TA:  J Environ Radioact     Country:  -    
Other Details:
Languages:  ENG     Pagination:  105-111     Citation Subset:  -    
Copyright Information:
Copyright © 2014 Elsevier Ltd. All rights reserved.
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