Investigation of Particle Size Effects in Inhalation Dose Assessment For Short Term Radiological Events

dc.contributor.advisorAssoc. Prof. Dr. Man-Sung Yim, Committee Chairen_US
dc.contributor.advisorAssoc. Prof. Dr. Mansoor Haider, Committee Memberen_US
dc.contributor.advisorProf. Dr. Mohamed A. Bourham, Committee Memberen_US
dc.contributor.authorSrimok, Boonchaweeen_US
dc.date.accessioned2010-04-02T17:55:58Z
dc.date.available2010-04-02T17:55:58Z
dc.date.issued2007-02-13en_US
dc.degree.disciplineNuclear Engineeringen_US
dc.degree.levelthesisen_US
dc.degree.nameMSen_US
dc.description.abstractGiven the concern over terrorist events involving radioactive materials, developing the modelling capability to analyze the radiological consequences of a terrorist event involving radioactive material is in demand. One of the remaining questions in modelling radiological consequence of a RDD terrorist event is how should the particle size effect be treated. A FORTRAN code called 'PIDA' was developed in this research to examine the importance of particle size effect in the consequence analysis of a short-term terrorist event involving RDD. Given the focus of this study on the particle size effect, only the human inhalation dose exposure was modeled in the code. The code is established by coupling the conceptual Gaussian puff model with the inclusion of particle size dependent, dry deposition velocity and resuspension modelling capability and ICRP inhalation dose model through its database software. An uncertainty analysis version of PIDA was also developed in order to perform uncertainty analysis for the particle size effect and other key parameters. The PIDA code was successfully developed and implemented (under certain assumptions) to analyze the effect of particle size distribution in the consequence analysis of radiological terrorist event. For the benchmarking of the code, each submodels of PIDA code were compared with the state-of-the-art modelling tool for each specific area for the calculation results. It was found that PIDA code in general is conservative in estimation the radiological consequence of the event. Sensitivity and uncertainty analysis for the particle size effect were performed using PIDA code. Results indicated that particle size is one of the key parameters that contributes to the uncertainty of an inhalation dose evaluation due to this terrorist event. Ignoring particle size distribution is expected to result in overestimation of inhalation dose in a radiological terrorist event. It was also found that the particle size effect is (1) Minor in describing atmospheric transport, (2) Minor in describing deposition, (3) Minor in describing resuspension and, (4) Significant in describing lung deposition and resulting the dose.en_US
dc.identifier.otheretd-11032006-152334en_US
dc.identifier.urihttp://www.lib.ncsu.edu/resolver/1840.16/481
dc.rightsI hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dis sertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.en_US
dc.subjectterrorist eventsen_US
dc.subjectparticle sizeen_US
dc.subjectInhalation dose assessmenten_US
dc.titleInvestigation of Particle Size Effects in Inhalation Dose Assessment For Short Term Radiological Eventsen_US

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