Using spectral shape and predictor fluence to evaluate temporal dependence of exposures from solar particle events
Open accessAbstract
Real‐time estimation of exposure levels has been considered in NASA's operational strategies and structural capability for the protection of astronauts from exposure to large solar particle events (SPEs). The temporal profile of organ dose rates is also important for the analysis of dose‐rate‐dependent biological responses and the optimization of radiation shielding and future mission planning. A realistic temporal estimation of exposure profiles relies on (1) the complete energy spectrum of SPE that defines the boundary condition for radiation transport simulation, (2) the radiation transport simulation with detailed shielding and body geometry models that determines particle transmission at each critical body organ, and (3) the assessment of organ dosimetric quantities and biological risks by applying the corresponding response models. This paper introduces a process of rapidly estimating temporal exposures to SPEs by implementing the distributions of the organ doses and the spectral‐shape characterization of the major SPEs. Simultaneously, the unconditional probability exceeding the NASA 30 day limit of a blood‐forming organ dose is estimated by taking into account the variability of detailed spectra of SPEs for a given predictor fluence. These temporal evaluations of SPEs can be applied to the development of real‐time guidance and protection system on improving mitigation of adverse effects during space missions.
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Cites
Unusual activity of the Sun during recent decades compared to the previous 11,000 years
Solanki, S. K., Usoskin, I. G., Kromer, B., Schüssler, M., & Beer, J. (2004) · Nature · doi:10.1038/nature02995 · Cited by 958 · see citing works
Measurements of energetic particle radiation in transit to Mars on the Mars Science Laboratory
Zeitlin, C., Hassler, D. M., Cucinotta, F. A., Ehresmann, B., Wimmer-Schweingruber, R. F., Brinza, D. E., Kang, S., Weigle, G., Böttcher, S., Böhm, E., et al. (2013) · Science · doi:10.1126/science.1235989 · Cited by 641 · see citing works
Physical and biological organ dosimetry analysis for international space station astronauts
Cucinotta, F. A., Kim, M.-H. Y., Willingham, V., & George, K. A. (2008) · Radiation Research · doi:10.1667/rr1330.1 · Cited by 196 · cited 2× · see citing works
“…levels may pose increased radiation-caused cancer risks and degenerative diseases to astronauts during future long-duration space missions [Cucinotta et al., 2008; National Council on Radiation Protection and Measurements, 2006; National Research Council of the National Academies,…”
BackgroundMethodSelf-citationModeling the acute health effects of astronauts from exposure to large solar particle events
Hu, S., Kim, M.-H. Y., McClellan, G. E., & Cucinotta, F. A. (2009) · Health Physics · doi:10.1097/01.hp.0000339020.92837.61 · Cited by 125 · see citing works
Shielding from solar particle event exposures in deep space
Wilson, J. W., Cucinotta, F. A., Shinn, J. L., Simonsen, L. C., Dubey, R. R., Jordan, W. R., Jones, T. D., Chang, C. K., & Kim, M. Y. (1999) · Radiation Measurements · doi:10.1016/s1350-4487(99)00063-3 · Cited by 117 · see citing works
Self-citationKim, M. Y., Cucinotta, F. A., Nounu, H. N., Zeitlin, C., Hassler, D. M., Rafkin, S. C. R., Wimmer‐Schweingruber, R. F., Ehresmann, B., Brinza, D. E., Böttcher, S., et al. (2014) · Journal of Geophysical Research: Planets · doi:10.1002/2013je004549 · Cited by 42 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 19
- Atri, D., and A. L. Melott (2014), Cosmic rays and terrestrial life: A brief review, Astropart. Phys., 53, 186-190.
- Atwell, W., A. J. Tylka, W. Dietrich, K. Rojdev, and C. Matzkind (2015), Sub-GLE solar particle events and the implications for lightly-shielded systems flown during an era of low solar activity, in 45th Inthernational Conference on Environmental Systems (ICES 2015), ICES-2015-340, Bellevue, Wash.
- Freier, P. S., and W. R. Webber (1963), Exponential rigidity spectrums for solar-flare cosmic rays, J. Geophys. Res., 68(6), 1605-1629, doi:10.1029/JZ068i006p01605. · DOI
- Goswami, J. N., R. E. McGuire, R. C. Reedy, D. Lal, and R. Jha (1988), Solar flare protons and alpha particles during the last three solar cycles, J. Geophys. Res., 93, 7195-7205, doi:10.1029/JA093iA07p07195. · DOI
- Kim, M.-H. Y., J. W. Wilson, and F. A. Cucinotta (2012), Description of transport codes for space radiation shielding, Health Phys., 103(5), 621-639.
- Kim, M. Y., F. A. Cucinotta, and J. W. Wilson (2007), A temporal forecast of radiation environments for future space exploration missions, Radiat. Environ. Biophys., 46(2), 95-100.
- Kim, M. Y., M. J. Hayat, A. H. Feiveson, and F. A. Cucinotta (2009a), Prediction of frequency and exposure level of solar particle events, Health Phys., 97(1), 68-81.
- King, J. H. (1974), Solar proton fluences for 1977-1983 space missions, J. Spacecraft, 11(6), 401-408.
- Krimigis, S. M., T. A. Armstrong, and J. W. Kohl (1973), Measurements of the quiet-time low energy proton, alpha, and M-nuclei component in cosmic rays Proc. 13th Int. Conf. Cosmic Rays (Denver), 2, 1656-1661. Space Weather 10.1002/2016SW001552
- National Research Council of the National Academies, Committee for Evaluation of Space Radiation Cancer Risk Model Space Studies Board, Division on Engineering and Physical Sciences (2012), Technical Evaluation of the NASA Model for Cancer Risk to Astronauts Due to Space Radiation, The National Academies Press, Washington D. C. National Research Council, Task Group on the Biological Effects of Space Radiation (1996), Radiation Hazards to Crews on Interplanetary Missions, Natl. Acad. Press, Washington, D. C. National Research Council/National Academy of Sciences (NRC/NAS), Committee on the Evaluation of Radiation Shielding for Space Exploration (2008), Managing Space Radiation Risk in the New Era of Space Exploration, The National Academies Press, Washington, D. C.
- Onsager, T. G., et al. (1996), Operational uses of the GOES energetic particle detectors, in GOES-8 and beyond, Proc. SPIE, 2812, 281-290.
- Rodriguez, J. V., T. G. Onsager, and J. E. Mazur (2010), The east-west effect in solar proton flux measurements in geostationary orbit: A new GOES capability, Geophys. Res. Lett., 37, L07109, doi:10.1029/2010GL042531. · DOI
- Sauer, H. H. (1993), GOES observations of energetic protons to E>685 MeV: Description and data comparison Proc. 23rd Int. Cosmic Ray Conf. 3 (Calgary), 250-253.
- Schrijver, C. J., et al. (2012), Estimating the frequency of extremely energetic solar events, based on solar, stellar, lunar, and terrestrial records, J. Geophys. Res., 117, A08103, doi:10.1029/2012JA017706. · DOI
- Tylka, A., and W. Dietrich (2009), A new and comprehensive analysis of proton spectra in ground-level enhanced (GLE) solar particle events, in 31th International Cosmic Ray Conference, Universal Academy Press, Lodź.
- Usoskin, I. G. (2013), A history of solar activity over millennia, Living Rev. Sol. Phys., 10, 1-94, doi:10.12942/lrsp-2013-1. · DOI
- Usoskin, I. G., and G. A. Kovaltsov (2012), Occurrence of extreme solar particle events: Assessment from historical proxy data, Astrophys. J., 757(92), 1-6, doi:10.1088/0004-637X/757/1/92. · DOI
- Xapsos, M. A., C. Stauffer, G. B. Gee, J. L. Barth, E. G. Stassinopoulos, and R. E. McGuire (2004), Model for solar proton risk assessment, IEEE Trans. Nucl. Sci., 51, 3394-3398, doi:10.1109/TNS.2004.839159. · DOI
- Xapsos, M., G. Summers, J. Barth, E. Stassinopoulos, and E. Burke (2000), Probability model for cumulative solar proton event fluences, IEEE Trans. Nucl. Sci., 47, 486-490, doi:10.1109/23.856469. · DOI
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Berger, T., Matthiä, D., Burmeister, S., Rios, R., Lee, K., Semones, E., Hassler, D. M., Stoffle, N., & Zeitlin, C. (2018) · Space Weather · doi:10.1029/2018sw001920 · Cited by 31 · see citing works
- Authors
- Kim, M. Y., Blattnig, S. R., Clowdsley, M. C., & Norman, R. B.
- Affiliations
- Wyle (United States) (US)
- Langley Research Center (US)
- NASA Langley Research Center Hampton Virginia USA
- Corresponding author
- Kim, Myung‐Hee Y.
- Venue
- Space Weather
- Publisher
- American Geophysical Union (AGU)
- Published
- 2017-02
- Volume
- 15
- Issue
- 2
- Pages
- 374-391
- ISSN
- 1542-7390 (ISSN-L)
- OpenAlex
- W2586382444
- Cited by
- 4
- References
- 6
- Citations by year
- 2020: 1 · 2019: 1 · 2018: 1 · 2017: 1
- FWCI
- 0.60
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Space Weather (publishedVersion)
- Funders
- National Aeronautics and Space Administration (NNJ15HK11B)
- Topics
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Solar and Space Plasma Dynamics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Radiation Therapy and Dosimetry
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Effects of Radiation Exposure
- Keywords
- solar energetic particle events, astronaut radiation exposure, spectral shape, radiation transport simulation, radiation shielding, blood-forming organs, dose rate dependence, space radiation protection
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