航天员受银河宇宙线辐射的剂量计算

在近地空间(LEO)和深空探测中,航天员遭受的辐射风险主要来自于银河宇宙线(GCR)照射.银河宇宙线的辐射剂量是航天员辐射风险评价的基础.国际放射防护委员会(ICRP)于2013年提出了新的航天员空间辐射剂量估算方法,以更准确给出空间重离子辐射的剂量.基于此方法,开发了宇宙线粒子在物质中输运的蒙特卡罗程序,并在程序中实现用中国成年男性人体数字模型来仿真航天员.采用该程序计算了粒子(Z=1~92)各向同性照射航天员时器官的通量-器官剂量转换因数,并估算出航天员在近地轨道空间受银河宇宙线辐射的剂量.     

大气中子实时计算模式

为实时评估0~100km高度范围内的大气中子全球分布,对宇宙线在地磁场和大气中的传输过程进行了分析.利用蒙特卡罗方法工具包Geant4,预先计算不同能量的粒子在大气层中产生的次级粒子能谱分布,形成大气次级粒子数据库,并与相关模型进行对比,验证了该数据库的有效性和可靠性.以实测或预报的空间环境参数作为输入,计算同步轨道银河宇宙线和太阳质子事件能谱以及100km高度上的地磁垂直截止刚度,最终得到大气层顶上的粒子能谱.通过对大气次级粒子数据库的线性插值,实现1h分辨率的大气中子能谱和辐射剂量全球分布的实时计算.     

第23太阳活动周太阳极紫外辐射与磁暴相关性分析

统计第23个太阳活动周内中等及以上强度（Dst_min<-50nT）的磁暴事件,线性拟合分析磁暴主相DDst_min和达到DDst_min前一个表征太阳极紫外辐射强度的F_10.7之间的相关性.结果表明：随着太阳极紫外辐射增强,DDst_min<-50nT的磁暴出现的总数增多,在弱、中等和强太阳极紫外辐射条件下,其数量分别为56,84和85;随着太阳极紫外辐射增强,强磁暴（-200nT ≤ Dst_min<-100nT）和大磁暴（Dst_min<-200nT）发生的数量和相对发生率呈增长趋势,尤其是大磁暴数目（1,4,12）和相对发生率（1.79%,4.76%,14.12%）明显呈增长趋势;大磁暴（|Dst_min|）与太阳极紫外辐射（F_10.7）之间存在中度正相关关系,其相关系数为0.532,并且主要体现在大磁暴（|Dst_min|）与强太阳极紫外辐射（F_10.7）之间的中度正相关性,其相关系数为0.582.大磁暴与强太阳极紫外辐射之间的相关性可为空间天气预报提供参考依据.     

临近空间太阳紫外辐射环境模拟与地区差异

太阳紫外辐射是临近空间能量输入的主要来源之一,对其在中层大气的辐射特性进行研究,是研究临近空间大气成分与密度变化、光化学反应以及动力学过程的重要基础。依托“鸿鹄”临近空间探测专项计划,利用MODTRAN5辐射传输模型及卫星实测数据,模拟并对比中国11个主要地形区上空临近空间（20~50 km）紫外辐射（200~400 nm）垂直分布和季节演变的异同,计算了臭氧含量、太阳天顶角和日地距离等关键因素对辐射强度的影响。结果表明,各地形区的辐射流量垂直分布廓线和年较差垂直分布廓线较为一致,在地理位置上毗邻的地区辐射特性及季节演变较为接近,但在太阳紫外的不同波段之间区别较大。研究成果为临近空间探测实验提供了数据支撑,为大气反演等相关领域提供参考。     

空间粒子辐射对卫星中集成芯片的影响

本文分析了在“风云一号(B)”气象卫星环境中各种粒子辐射在集成芯片临界体积中产生的能量沉积, 即LET(线性能量传输);得到了银河宇宙线1≤Z≤28、银河宇宙线异常成分(C、N、O、Ne、Ar、Fe)、内辐射带质子等产生的LET, 计算了其分别产生的单粒于事件(SEU)翻转率。     

太空行走100问（十四）

太空行走风险(上) 80.航天员在太空行走中可能会遇到哪些风险? (1)太空环境因素方面的风险: ①宇宙辐射 在近地空间的宇宙辐射属于电离辐射,主要有三个来源:地球辐射带、银河宇宙线和太阳粒子事件.     

短波长紫外辐射变化与臭氧含量涨落之间的关系

位于低纬地区的印度同时测量了短波紫外辐射与臭氧含量,表明臭氧含量下降3%,短波紫外辐射通量(290nm)上升35%.但这个数值大于以往理论预期的数值.本文给出一个简单公式,这个公式描述了臭氧含量的变化与相应的紫外辐射变化之间的关系,用此公式计算得出的结果与印度测得的结果相符,很好地解释了低纬地区的印度测量的臭氧涨落与其相应的短波长紫外辐射变化之间的关系.     

太阳光谱辐射强度变化对地球能量平衡的影响分析

目前太阳对地球能量平衡影响的研究大都是以太阳总辐射通量密度作为输入参数的. 本文以美国航空航天局（National Aeronautics and Space Administration,NASA）太阳辐射与气候实验项目的卫星实测数据为基础,对太阳上升相（2010年上半年）和下降相（2007年12月）期间太阳光谱变化对地球能量平衡的影响进行了研究. 结果表明,2010年上半年较强的太阳总辐射通量密度主要是由紫外及红外波段的能量增强引起的,其在200～400nm 和760～4000nm波段内的平均能量分别增加了0.11%和0.05%,而在 400～760nm可见光区的能量却呈减小趋势,平均减小量为0.05%. 通过对MLS2.2全球臭氧日数据进行再分析后发现,相对于2007年12月,2010年上半年平流层臭氧浓度也有所增加,其中在太阳紫外辐射呈现较大增强的2月和3月,其臭氧增量也相对较大,最大值分别出现在33km和40km处,值为0.6mL·m^-3和0.62mL·m^-3. 因此,可见光区能量减弱与平流层臭氧浓度增加的双重削弱作用致使虽然2010年上半年的太阳总辐射通量密度较大,但是到达对流层顶的太阳辐射却有所减小,最大减小量出现在3月,值为0.15W·m^-2. 这一结果说明,太阳活动或总辐射通量密度的增强也有可能对地球对流层系统起到冷却作用.     

基于ACE飞船观测的银河宇宙线与太阳风变化的统计研究

基于ACE飞船的资料,通过时序迭加方法统计分析了最近两个太阳活动极小年时期（2007.0-2009.0和2016.5-2019.0年）的宇宙线计数与太阳风参数的关系.结果表明,宇宙线的计数受太阳风共转流相互作用区的强烈影响,宇宙线计数变化与快慢太阳风流界面的位置密切相关,例如流界面的穿越通常伴随着宇宙线计数的下降.分析表明,第一时段的具有“雪犁”效应的宇宙线计数下降对应于流界面附近的扩散系数急剧下降,而第二时段的非“雪犁”效应的计数下降可能是由穿越流界面后的扩散系数增大引起的.日球层电流片也与宇宙线计数变化存在一定的相关性,宇宙线粒子在日球层电流片附近存在一定程度的堆积.太阳风对宇宙线的作用机制表明,宇宙线的漂移和扩散效应决定了其在1AU附近的分布变化.     

一种NRLMSISE-00模型太阳辐射校正方法

根据空间天气的状态,调整大气模型的相关输入参数能够减小模型的计算误差.通过对比CHAMP卫星在轨大气密度探测数据与NRLMSISE-00模式的计算结果发现,通过调整F_10.7的输入,使轨道大气密度积分的模式计算结果与探测结果之间的误差达到最小,此时的F_10.7被称为理想F_10.7输入（F^*）.进一步的分析发现,F^*与太阳紫外辐射MgII指数存在很好的相关性,因此可以选择其他的太阳紫外辐射代理参数取代F_10.7,从而减小模型计算误差.本文采用神经网络技术,建立新的太阳紫外辐射代理参量F_euv与MgII,F_10.7等的对应模型,能够根据当日参数值计算F_euv.研究结果表明,新的代理参数能够有效减小NRLMSISE-00的计算误差.     

太阳极紫外多波段成像仪

在目前仪器特点和性能的基础上, 结合中国现有卫星特点和技术基础, 提出了一种新型太阳极紫外多波段成像仪, 采用小型化设计, 利用一台仪器实现对日冕和色球层4个不同波段的高分辨率成像, 不仅能有效利用卫星资源, 提高空间探测水平, 还能实现对日冕和色球的同时观测, 推动空间天气研究, 提高空间天气预报水平.     

Short-term periodicities in the downward longwave radiation and their associations with cosmic ray and solar interplanetary data

In this study downward longwave (LW) atmospheric radiation data for the period of 2014–2020 were used to search for short-term periodicities using fast Fourier transform (FFT). Several local peaks in the power spectrum density were found and established. The time series exhibits a series of significant peaks (exceeding the 95% confidence limit), such as at 273 days, 227 days, 200 days, 178 days, 157 days, 110 days, 120 days, 87 days, 73 days, 53–56 days, 35–30 days, 25–27 days, 21 days, 13 days, and 9–10 days.Moreover, cosmic ray data from KACST muon detector and the Oulu neutron monitor, as well as the data for the solar radio flux at 10.7 cm (F10.7 cm), Dst index, and solar wind speed for the same period as the LW data, were used to look for common cyclic variations and periodicities matching those found in the LW radiation. This was done to investigate the possible effect of the solar activity parameters on LW radiation. Several common periodicities were observed in the spectra of all the variables considered, such as 227 days, 154–157 days, 25–27 days, and 21 days. Some of the periodicities found in the LW radiation spectrum can be attributed to the modulation of the cosmic ray intensity by solar activity. Others are attributed to the disturbances in the interplanetary magnetic field. Based on the spectral results, we suggest that the solar signals may directly or indirectly affect the variations of the downward longwave radiation, which in turn may affect climate change.     

Delineation of possible influence of solar variability and galactic cosmic rays on terrestrial climate parameters

The present paper has investigated the associations of solar activity (SA), represented by total solar irradiance (TSI), galactic cosmic rays (GCR) and terrestrial climate parameters in particular the global cloudiness and global surface temperature. To that end, we have analysed thirty five years (1983–2018) data of these parameters and have applied the Granger-causality test in order to assess whether there is any potential predictability power of one indicator to the other. The correlations among the involved parameters are tested using Vector Auto Regression (VAR) model and variance decomposition method. As a result of the above analysis, we have found that the TSI is an important factor and has contributed about 8.77 ± 0.42% in the cosmic ray intensity variations. In case of cloud cover variations, the other three parameters (TSI, cosmic ray and global surface temperature) have played a significant role. Further, the TSI changes have contributed 1.68 ± 0.03% fluctuations in the variance of the cloud cover while the cosmic ray intensity and global surface temperature have contributed about 4.89 ± 0.08% and 10.87 ± 1.41% respectively. In case of the global surface temperature anomaly both TSI and cloud covers have contributed about 5.07 ± 0.47% and 14.42 ± 2.13% fluctuations respectively. Additionally, we have also assessed the impact of internal climate oscillations like multivariate ENSO index (MEI), north Atlantic oscillations (NAO) and quasi biennial oscillations (QBO) on cloud cover variations. The contribution of these internal oscillations e.g. ENSO, NAO and QBO in cloud cover variation were reported as 7.48 ± 1.02%, 5.51 ± 0.16% and 1.36 ± 0.43% respectively.     

Solar and magnetic control on night-time enhancement in TEC near the crest of the Equatorial Ionization Anomaly

The ionospheric Total Electron Content (TECs), derived by dual frequency signals from the Global Positioning System (GPS) recorded near the Indian equatorial anomaly region, Bhopal (23.2°N, 77.4°E, Geomagnetic 14.2°N) were analyzed for the period of January, 2005 to February, 2008. The work deals with monthly, diurnal, solar and magnetic activity variations on night-time enhancement in TEC. From a total of 157 night-time enhancements, 75 occur during pre-midnight and 82 post-midnight hours. The occurrence of night-time enhancement in TEC is utmost during summer months, followed by equinox and winter months. The occurrence of night-time enhancement in TEC decreases with increase in solar and magnetic activities. We observed that peak size and half amplitude duration are positively correlated, while time of occurrence of night-time enhancement in TEC and time of peak enhancement are negatively correlated with solar activity. The peak size, half amplitude duration, time of peak enhancement and time of occurrence of night-time enhancement in TEC shows negative correlation with magnetic activity. The results have been compared with the earlier ones and discussed in terms of possible source mechanism responsible for the enhancement at anomaly crest region.     

1996-2003年大耀斑事件引起的TEC突然增强的统计分析

利用1996—2003年期间GOES卫星耀斑观测资料和国际GPS观测网的GPS—TEC资料分析X级大耀斑事件引起的电离层电子浓度总含量(TEC)的突然增强(SITEC)现象．对X射线耀斑等级、耀斑日面位置与SITEC的关系进行了分析．结果表明,两者都与SITEC现象的强弱有着一定的正相关性．在消除X射线耀斑等级、耀斑日面位置对电离层SITEC现象的影响后,进而分析了日地距离以及耀斑持续时间对电离层SITEC现象的影响．结果表明,日地距离和耀斑持续时间都是影响SITEC现象的重要参数,日地距离较近时发生的耀斑事件引起的SITEC现象较为强烈．另外,耀斑持续时间越长,SITEC现象越微弱,但是当耀斑持续时间继续延长时,SITEC现象的强弱逐渐趋于不再改变,最后在某值附近达到平衡．还对某些没有在电离层中引起明显SITEC现象的耀斑事件进行了讨论,发现了这类耀斑的一些特征．     

Estimation of Galactic Cosmic Ray exposure inside and outside the Earth’s magnetosphere during the recent solar minimum between solar cycles 23 and 24

The evidently low solar activity observed between solar cycles 23 and 24 during the years 2008–2010 led to a substantial increase in the Galactic Cosmic Ray (GCR) intensity in comparison with preceding solar minima. As the GCRs consist of highly-ionizing charged particles having the potential to cause biological damage, they are a subject of concern for manned missions to space. With the enhanced particle fluxes observed between 2008 and 2010, it is reasonable to assume that the radiation exposure from GCR must have also increased to unusually high levels. In this paper, the GCR exposure outside and inside the Earth’s magnetosphere is numerically calculated for time periods starting from 1970 to the end of 2011 in order to investigate the increase in dose levels during the years 2008–2010 in comparison with the last three solar minima. The dose rates were calculated in a water sphere, used as a surrogate for the human body, either unshielded or surrounded by aluminium shielding of 0.3, 10 or 40 g/cm².     

全晕CME与太阳质子事件的关系

日冕物质抛射（CME）是太阳质子事件的重要源头.CME的速度和源区位置是太阳质子事件产生的重要因素.通过统计最近5年全晕CME与太阳质子事件的关系发现,速度大且源区位置距离日面上连接地球磁力线足点近的全晕CME更易引发太阳质子事件,其中速度大于1200km…^-1、角距离60°以内的样本引发太阳质子事件的概率最高.对3个未引发太阳质子事件的高速全晕CME进行了详细分析,发现CME的主体爆发方向和行星际磁场环境的变化也影响太阳质子事件的产生.因此,在太阳质子事件的实际预报中,综合CME爆发速度、源区位置、主体抛射方向和行星际环境等多个因素才能给出更准确的事件预报结果.     

Change in refractivity of the atmosphere and large variation in TEC associated with some earthquakes,observed from GPS receiver

The present study reports the analysis of GPS based TEC for our station Surat (21.16°N, 72.78°E) located at the northern crest of equatorial anomaly region in India at times close to some earthquake events (M ? 5) during the year 2009 in India and its neighbouring regions. The TEC data used in the study are obtained from GPS Ionospheric Scintillation and TEC Monitoring (GISTM) system. The TEC data has been analysed corresponding to 11 earthquakes in low solar activity period and quiet geomagnetic condition. We found that, out of 11 cases of earthquakes (M > 5) there were seven cases in which enhancement in TEC occurred on earthquake day and in other four cases there was depletion in TEC on earthquake day. The variation in refractivity prior to earthquake was significant for the cases in which the epicentre lied within a distance of 600 km from the receiving station. By looking into the features on temporal enhancement and depletion of TEC a prediction was made 3–2 days prior to an earthquake (on 28 October 2009 in Bhuj – India). The paper includes a brief discussion on the method of potentially identifying an impending earthquake from ionospheric data.