Highlights We predict the effective dose equivalent, a health risk measure, to ISS crew. The effective dose equivalent is 10–30% less than TEPC monitor dose equivalent. GCR exposure accounts for 75–85% of the effective dose equivalent.

    Abstract This paper describes a methodology for assessing the pre-mission exposure of space crew aboard the International Space Station (ISS) in terms of an effective dose equivalent. In this approach, the PHITS Monte Carlo code was used to assess the particle transport of galactic cosmic radiation (GCR) and trapped radiation for solar maximum and minimum conditions through an aluminum shield thickness. From these predicted spectra, and using fluence-to-dose conversion factors, a scaling ratio of the effective dose equivalent rate to the ICRU ambient dose equivalent rate at a 10mm depth was determined. Only contributions from secondary neutrons, protons, and alpha particles were considered in this analysis. Measurements made with a tissue equivalent proportional counter (TEPC) located at Service Module panel 327, as captured through a semi-empirical correlation in the ISSCREM code, where then scaled using this conversion factor for prediction of the effective dose equivalent. This analysis shows that at this location within the service module, the total effective dose equivalent is 10–30% less than the total TEPC dose equivalent. Approximately 75–85% of the effective dose equivalent is derived from the GCR. This methodology provides an opportunity for pre-flight predictions of the effective dose equivalent and therefore offers a means to assess the health risks of radiation exposure on ISS flight crew.


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    Title :

    Method for the prediction of the effective dose equivalent to the crew of the International Space Station


    Contributors:

    Published in:

    Advances in Space Research ; 53 , 5 ; 810-817


    Publication date :

    2013-12-18


    Size :

    8 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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