Probabilistic Forecast of Solar Particle Fluence for Mission Durations and Exposure Assessment in Consideration of Integral Proton Fluence at High Energies SM23C-2332 AGU2012 Fall Meeting Myung-Hee Y. Kim1, Allan J. Tylka2, William F. Dietrich2,3, and Francis A. Cucinotta4 Space Research Association, Division of Space Life Sciences, SK/SRPE/B37, 2101 NASA Parkway, Houston, TX 77058, USA myung-hee.y.kim@nasa.gov 2Space Science Division, Naval Research Laboratory, Washington, DC 20375, USA allan.tylka@nrl.navy.mil 3Consultant 4NASA Johnson Space Center, SK/B37, 2101 NASA Parkway Houston, TX 77058, USA francis.a.cucinotta@nasa.gov Introduction 1. 2. 3. 4. 5. 6. 7. 8. References Hu, S., Kim, M.Y., McClellan, G.E., Cucinotta, F.A., Modeling the acute health effects of astronauts from exposure to large solar particle events, Health Phys., 96(4), 465-476, April 2009. Cucinotta, F.A., Kim, M.Y., Willingham, V., George, K.A., Physical and biological organ dosimetry analysis for International Space Station Astronauts, Radiat. Res., 170, 127-138, 2008. 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. Technical Evaluation of the NASA Model for Cancer Risk to Astronauts Due to Space Radiation, The National Academies Press, 2012. Kim, M.Y., Hayat, M.J., Feiveson, A.H., Cucinotta, F.A. Prediction of frequency and exposure level of solar particle events. Health Phys., 97(1), 68-81, July 2009. Kim, M.Y., Hayat, M.J., Feiveson, A.H., Cucinotta, F.A. Using high-energy proton fluence to improve risk prediction for consequences of solar particle events. Adv. Space Res., 44, 1428-1432, 2009. Tylka and Dietrich, the 31st International Cosmic Ray Conference, Lodz, Poland, July 7-15, 2009. Cucinotta, F.A., Wilson, J.W., Badavi, F. F. Extension to the BRYNTRN code to monoenergetic light ion beams. Washington DC, NASA Report No. TP-3472, 1994. Billings, M.P., Yucker, W.R. The computerized anatomical man (CAM) model. Washington DC, NASA CR-134043, 1973. Functional Form of Event-Integrated GLE Proton Spectra for Radiation Analysis Band Function with 4 Parameters (J0, γ1, γ2, R0) for Double Power Law in Rigidity Φ (> R) = J 0 R −γ 1 Φ(> R) = J 0 R −γ 2 e for R ≤ (γ 2 − γ 1 ) R0 − R / R0 {[(γ − γ 1 )R0 ] (γ 2 −γ 1 ) (γ 1 −γ 2 ) 2 e } for R ≥ (γ 2 − γ 1 ) R0 Differential Energy Spectra of Band Function 1 − R / R0 dR dΦ dΦ dR −γ 1 −1 − R / R0 −γ 1 e e = = J 0(γ 1 ) R + J 0(γ 1 ) R − dE dE dR dE R 0 1 −γ 1 dR γ − R / R0 1 R + for R ≤ (γ 2 − γ 1 ) R0 = J0 e R R dE 0 dR dΦ dΦ dR for R ≥ (γ 2 − γ 1 ) R0 = = J 0(γ 2 ) R −γ 2 −1 [ (γ 2 − γ 1 ) R0 ] (γ 2 −γ 1 ) e (γ 1 −γ 2 ) dE dE dR dE { dR A −3 = 10 dE Z × β (E) } Where, R in GV, E in MeV, and β(E) is the proton velocity relative to the speed of light. 95 percentile SPE onset date Propensity of SPEs: Hazard Function of Offset β Distribution Density Function 1.E+10 1.E+09 λ0 K Γ( p + q ) t λ (t ) = + 4000 4000 Γ( p)Γ(q ) 4000 (0 ≤ t ≤ 4000) 1.E+08 1.E+07 1.E+10 p −1 t 1 − 4000 q −1 Median 25 percentile 10 percentile 5 percentile 1.E+10 1.E+09 1.E+08 1.E+07 1.E+06 1.E+05 1.E+04 -2 Φ60, protons cm -2 Φ60, protons cm 75 percentile 1.E+11 160 1.E+09 140 1.E+08 120 1.E+07 1.E+10 1.E+09 1.E+08 1.E+07 1.E+06 1.E+05 1.E+11 40 20 1.E+07 2/ 1/ 19 54 2/ 1/ 19 57 2/ 1/ 19 60 2/ 1/ 19 63 2/ 1/ 19 66 2/ 1/ 19 69 2/ 1/ 19 72 2/ 1/ 19 75 2/ 1/ 19 78 2/ 1/ 19 81 2/ 1/ 19 84 2/ 1/ 19 87 2/ 1/ 19 90 2/ 1/ 19 93 2/ 1/ 19 96 2/ 1/ 19 99 2/ 1/ 20 02 2/ 1/ 20 05 1.E+09 80 60 1.E+08 1.E+10 1.E+04 100 λ (t) Φ100, protons cm 90 percentile 1.E+11 -2 Φ30, protons cm -2 Φ30, protons cm 1.E+11 -2 • Exposure to solar particle events (SPEs) presents significant acute radiation risk (ARR)(1) during extra-vehicular activities (EVAs) or in lightly shielded space vehicles for space missions, and the exposure to large SPEs with high energy levels poses cancer risks to astronauts(2,3). • Improved forecasting capability and/or early-warning systems and proper shielding solutions are required to avoid ARR and stay within NASA’s short-term dose limits. • Using SPE onset dates for the past 5 solar cycles, the propensity for SPE occurrence with large proton fluence was estimated as a function of time within a typical future solar cycle from a non-homogeneous Poisson model(4). • Using historical database of proton fluence with E>30, >60, and >100 MeV, total fluence distributions of Φ30, Φ60, and Φ100 were simulated ranging from its 5th to 95th percentile for each mission durations(5) for random event size of SPE, ΦE. • Band fit parameters(6) for most of the ground-level enhanced events (GLEs) observed since 1956 have been applied as an accurate functional representation of Major SPEs. • NASA BRYNTRN code system(7) was used for transport properties of the shielding materials and the astronaut’s body tissues with computerized anatomical man (CAM) model(8). • The dependencies of BFO dose and Effective dose were evaluated and unconditional probability of BFO dose exceeding the NASA limit was calculated as a function of proton fluence at a given energy threshold of 30, 60, and 100 MeV. Probabilistic Forecast of Solar Particle Fluence for Mission durations -2 Φ100, protons cm 1Universities 0 2/1/54 2/1/58 2/1/62 2/1/66 2/1/70 2/1/74 2/1/78 2/1/82 2/1/86 2/1/90 2/1/94 2/1/98 2/1/02 2/1/06 1.E+10 1.E+09 1.E+08 1.E+07 1.E+06 1.E+05 1.E+04 0 Date 50 100 150 200 250 300 350 400 Mission duration, d Exposure Assessment in Consideration of Integral Proton Fluence at High Energies Exposure Assessment from GLE’s Band Fit Parameters of Recorded GLE’s and Exposure Assessment during Extra Vehicular Activity and Inside 5 g/cm2 Aluminum GLE’s 1956 1959 1960 1960 1960 1960 1960 1961 1967 1968 1969 1971 1971 1972 1972 1973 1976 1977 1977 1977 1978 1978 1981 1981 1982 1982 1984 1989 1989 1989 1989 1989 1989 1989 1989 1989 1990 1990 1990 1990 1991 1991 1992 1992 1997 1998 1998 1998 1998 2000 2000 2001 2001 2001 2001 2001 2002 2003 2003 2003 2003 2005 2005 2006 Date Feb Jul May Sep Nov Nov Nov Jul Jan Nov Mar Jan Sep Aug Aug Apr Apr Sep Sep Nov May Sep May Oct Nov Dec Feb Jul Aug Sep Sep Oct Oct Oct Oct Nov May May May May Jun Jun Jun Nov Nov May May Aug Aug Jul Jul Apr Apr Nov Nov Dec Aug Oct Oct Oct Nov Jan Jan Dec 23 17 04 03 12 15 20 18 28 18 30 24 01 04 07 29 30 19 24 22 07 23 10 12 26 08 16 25 16 29 29 19 19 22 24 15 21 24 26 28 11 15 25 02 06 02 06 24 24 14 14 15 18 04 04 26 24 28 28 29 02 17 20 13 Official No. 5 7 8 9 10 11 12 13 16 19 21 22 23 24 25 26 27 28 29 30 31 32 35 36 37 38 39 40 41 42 42 43a 43b 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58a 58b 59a 59b 60 61 62a 62b 63 64 65a 65b 66 67 68 69 70 Band Fit Parameters γ1 γ2 R0 (GV) J0, 8.790E+08 0.584 5.04 0.3207 7.590E+09 0.218 6.08 0.1030 8.156E+05 1.527 4.88 0.5850 1.240E+08 0.319 5.56 0.1410 7.540E+08 1.154 6.54 0.2160 1.780E+08 1.595 7.00 0.2628 3.070E+07 1.112 5.21 0.1970 6.302E+08 0.755 6.13 0.1312 1.066E+07 1.896 5.62 0.3720 7.286E+06 2.822 6.91 0.2405 9.315E+07 0.353 4.32 0.1536 7.423E+06 3.256 6.58 0.2874 2.336E+08 0.701 7.38 0.1807 1.450E+15 -3.636 7.95 0.0345 6.340E+06 3.260 6.27 0.2980 7.240E+06 1.073 4.44 0.1628 7.620E+06 1.710 6.33 0.2054 1.388E+06 2.995 7.95 0.3163 4.324E+06 1.730 5.40 0.3390 3.020E+06 2.533 5.41 0.4238 6.424E+06 1.549 3.87 0.1806 8.151E+09 0.473 5.61 0.0682 9.509E+04 4.210 6.49 0.8169 6.800E+08 1.344 5.11 0.0768 2.211E+05 3.365 4.87 0.8655 4.169E+05 3.706 5.04 1.2680 2.506E+07 0.760 5.05 0.1644 1.290E+07 0.544 6.60 0.1822 7.270E+07 1.914 5.86 0.1845 1.799E+05 2.060 2.63 3.6593 2.027E+10 -0.109 4.58 0.0945 1.220E+09 0.528 5.81 0.1621 9.090E+09 0.911 4.43 0.08435 1.090E+09 1.226 7.25 0.1352 4.420E+07 2.176 5.65 0.3850 3.850E+06 0.970 5.53 0.2200 1.131E+08 0.554 4.31 0.1366 5.579E+07 0.797 4.91 0.1832 4.685E+07 0.333 5.72 0.1829 7.659E+07 0.417 4.98 0.1433 8.360E+08 0.974 5.14 0.1052 2.525E+07 2.182 5.98 0.2362 8.621E+05 3.117 6.12 0.3496 1.965E+09 0.462 6.91 0.0951 8.150E+08 0.284 5.38 0.1159 8.980E+06 1.306 6.51 0.1962 1.640E+06 1.921 7.46 0.2018 2.096E+05 2.977 5.27 0.6769 1.630E+04 5.285 7.74 0.983 2.940E+09 0.506 7.46 0.1230 6.010E+07 3.235 7.85 0.226 5.220E+07 1.388 5.69 0.2604 8.390E+06 1.852 5.02 0.2366 2.140E+09 0.242 6.67 0.0934 4.780E+08 2.363 11.2 0.129 2.170E+07 1.806 7.86 0.1803 5.060E+06 2.356 6.70 0.2253 8.440E+09 0.009 6.48 0.0888 1.120E+08 2.812 8.92 0.171 7.620E+07 2.044 6.86 0.2062 2.270E+06 3.501 7.01 0.3212 3.508E+07 2.649 8.29 0.1619 3.803E+08 0.719 5.78 0.2040 1.330E+08 1.045 5.80 0.1765 p/cm2 BFO dose, mGy-Eq EVA 5 g/cm2 Al 557.23 405.37 244.51 120.9 2.15 1.49 12.65 7.35 442.75 266.83 217.48 129.45 14.5 8.53 76.96 40.35 26.81 16.42 23.55 11.35 12.37 7.42 46.8 22.09 63.14 38.38 597.63 174.29 42.17 20.06 2.14 1.18 6.74 3.67 7.85 3.94 8.42 5.2 15.5 8.8 3.73 2.03 47.78 19.82 3.54 1.68 20.38 9.14 3.93 2.13 11.7 6.17 5.73 3.32 3.08 1.93 61.88 31.49 1.35 0.95 340.46 170.34 218.18 130.52 279.49 139.03 223.54 110.72 148.88 87.9 1.98 1.23 12.95 7.14 16.96 10.21 9.32 6.02 8.94 5.15 57.97 26.44 44.27 23.42 6.15 3.09 56.97 25.71 43.16 22.71 5.02 2.86 1.7 0.89 2.3 1.29 1.76 0.72 233.32 122.83 253.73 112.74 52.07 31.92 10.93 6.08 47.02 21.66 238.11 96.65 15.92 8.17 9.57 4.86 120.04 55.23 181.15 78.04 91.92 47.66 20.73 9.66 42.84 18.51 134.68 85.16 46.6 26.64 NASA E, mSv EVA 5 g/cm2 Al 589.73 446.77 231.38 118.38 2.26 1.63 12.31 7.42 436.55 273.61 214.59 132.94 14.21 8.7 73.59 39.95 26.77 17.11 22.67 11.23 12.17 7.61 45.17 21.85 62.15 39.26 581.48 172.36 40.73 19.87 2.08 1.19 6.53 3.69 7.6 3.93 8.41 5.42 15.26 9.02 3.65 2.09 46.62 19.59 3.46 1.68 20.03 9.11 3.86 2.17 11.49 6.28 5.58 3.37 3.06 1.98 59.45 31.27 1.45 1.07 325.06 171.02 213.69 132.77 274.34 140.6 212.84 108.81 147.49 90.76 1.97 1.28 12.54 7.22 16.69 10.44 9.32 6.26 8.7 5.21 55.15 26.17 42.85 23.47 5.96 3.09 53.57 24.88 41.24 22.51 4.89 2.9 1.63 0.89 2.27 1.33 1.74 0.71 222.7 121.36 244.28 110.58 51.72 33.01 10.65 6.16 44.21 21 227.43 93.47 15.29 8.11 9.22 4.84 112.88 53.69 173.62 76.07 88.58 47.49 20.04 9.55 41 18.03 134.18 88.24 45.34 26.92 BFO dose Fit for Males with 90% Tolerance Limits as a Function of Φ100 NASA Effective dose Fit for Males with 90% Tolerance Limits as a Function of Φ100 Probability Exceeding the BFO limit as a Function of Φ30, Φ60, and Φ100 of Proton Fluences Conclusion 1. Total fluence of solar particle events (SPEs) for a given mission period was estimated from a non-homogeneous Poisson process model with a non-constant hazard function and a random draw from a Gamma distribution representing energy above 30, 60, and 100 MeV fluences. 2. The exposure levels of GLE’s were calculated from corresponding observed spectral characteristics of Band function, which are found to be modeled based solely on integral proton fluences at high energies by a linear trend on a log-log scale with an assumed Gaussian distribution of the exposure level around the regression line attributable to variability of each GLE spectra. 3. By taking into account the distribution of integral proton fluence at high energies for a given mission period as the predictor of estimating exposure level: • The overall predictions of BFO dose and NASA effective dose were estimated at the median as well as the 5th and 95th percentiles. • The unconditional probability of a BFO dose exceeding the NASA defined limit of 250 mGy-Eq was calculated. 4. The results can be applied to the mission planning and shielding optimization for future space missions.