航天器污染检测新技术的研究

根据飞行时间二次离子质谱学的新进展,用当代最先进的仪器首次对三种典型的我国地面空间环境模拟污染样品进行了探索性实验研究。结果表明：由于极高的检测灵敏度,具备分析微量航天污染物成分的能力;由于很高的质量分辨本领,具备检测航天污染物包含的所有元素、同位素和各种化合物的指纹鉴别能力;成像分析可获得航天污染物各成分面分布及一定的分层信息,从而可望揭示出各类污染物的形成过程。与国内外现有的各类检测手段相比,飞行时间二次离子质谱是航天污染物检测强有力的一种新手段。讨论了需要进一步研究解决的主要问题,如果能开发出可避免二次污染并分阶段取样、保存样品的装置与之配合,该技术有望在迅速崛起的航天污染系统工程中发展成为一种独具特色的航天污染检测新技术。     

机场终端区域电磁环境分析

主要分析了机场终端区域主要使用的无线电设备及位置分布,各种无线电设备对电磁环境的要求以及信号覆盖、信号强度,对可能存在的干扰进行简单的分析,为进一步对机场终端区电磁环境仿真奠定理论基础。最后,本文对广汉机场的电磁环境进行了具体分析。     

高空飞行环境中液体运载火箭底部热环境研究

采用数值模拟和飞行测试验证相结合的方法对液体运载火箭高空对流/辐射耦合换热问题开展系统深入研究。基于燃气多组分输运Navier-Stokes方程、热辐射方程、Realizable k-ε两方程湍流模型,建立了高空含自由流的运载火箭燃气喷流流动模型。辐射模型采用离散坐标法(DOM),空间离散采用二阶迎风TVD格式,对多个典型飞行高度火箭底部热流进行大型并行计算,将数值结果与试验数据进行广泛对比,验证了计算模型的精度和有效性。数值研究表明,火箭底部辐射热流在刚起飞阶段达到最大值,随着飞行高度上升,辐射热流逐渐降低,火箭底部对流热流表现为先升高后降低的趋势,并在20 km高空达到峰值。本文的预测分析方法对液体运载火箭底部热防护设计具有重要的理论意义和工程应用价值。     

IBM-PC型微机CAD软件集成研究

 由于CAD方面的应用软件是分散开发的,故这些应用软件所采用的语言,输入输出格式以及数据存贮方式都不相同,如何将这些各自开发的应用程序集成为一个有实用价值的CAD系统,本文试图提出两种解决办法。     

海洋环境对吊放声纳作战使用影响研究

作战海域海洋环境对航空吊放声纳工作深度、探潜能力有重要影响。文中以声纳方程为基础,分析了作战海域海况、深度等海洋环境因素对吊放声纳作战使用及探测能力的影响,为合理使用吊放声纳提供了依据。     

Materials selection for electronic enclosures in space environment considering electromagnetic interference effect

Using low power electronic devices for space applications to reduce the mass and energy consumption has lead to electromagnetic interference (EMI) problem. Electronic enclosures are used to shield electronic devices against EMI. In the past, electromagnetic shielding has been mainly the only criteria considered in electronic enclosure design. However, there are several structural and thermal requirements for selection of shielding materials which should also be taken into account. In this research work, three quantitative materials selection methods, i.e. Digital Logic (DL), Modified Digital Logic (MDL), and Z-transformation, are employed to select the best material from among a list of candidate materials. Composite and metallic electronic enclosures are explored and the best material is selected. Z-transformation method is applicable to both of the considered case studies while DL and MDL can only be used for solving one of them. Z-transformation method ranks aluminum as the first choice among various metallic materials. The wide range of Z-transformation application and its practical results confirm the superiority of Z-transformation method over DL and MDL methods.     

Distribution of chlorophyll and harmful algal blooms (HABs): A review on space based studies in the coastal environments of Chinese marginal seas

Monitoring of spatial and temporal distribution of chlorophyll (Chl-a) concentrations in the aquatic milieu is always challenging and often interesting. However, the recent advancements in satellite digital data play a significant role in providing outstanding results for the marine environmental investigations. The present paper is aimed to review ‘remote sensing research in Chinese seas’ within the period of 24 years from 1978 to 2002. Owing to generalized distributional pattern, the Chl-a concentrations are recognized high towards northern Chinese seas than the southern. Moreover, the coastal waters, estuaries, and upwelling zones always exhibit relatively high Chl-a concentrations compared with offshore waters. On the basis of marine Chl-a estimates obtained from satellite and other field measured environmental parameters, we have further discussed on the applications of satellite remote sensing in the fields of harmful algal blooms (HABs), primary production and physical oceanographic currents of the regional seas. Concerned with studies of HABs, satellite remote sensing proved more advantageous than any other conventional methods for large-scale applications. Probably, it may be the only source of authentic information responsible for the evaluation of new research methodologies to detect HABs. At present, studies using remote sensing methods are mostly confined to observe algal bloom occurrences, hence, it is essential to coordinate the mechanism of marine ecological and oceanographic dynamic processes of HABs using satellite remote sensing data with in situ measurements of marine environmental parameters. The satellite remote sensing on marine environment and HABs is believed to have a great improvement with popular application of technology.     

Results from the ESA SREM monitors and comparison with existing radiation belt models

The Standard Radiation Environment Monitor (SREM) is a simple particle detector developed for wide application on ESA satellites. It measures high-energy protons and electrons of the space environment with a 20° angular resolution and limited spectral information. Of the ten SREMs that have been manufactured, four have so far flown. The first model on STRV-1c functioned well until an early spacecraft failure. The other three are on-board, the ESA spacecraft INTEGRAL, ROSETTA and PROBA-1. Another model is flying on GIOVE-B, launched in April 2008 with three L-2 science missions to follow: both Herschel and Planck in 2008, and GAIA in 2011). The diverse orbits of these spacecraft and the common calibration of the monitors provides a unique dataset covering a wide range of B-L* space, providing a direct comparison of the radiation levels in the belts at different locations, and the effects of geomagnetic shielding. Data from the PROBA/SREM and INTEGRAL/IREM are compared with existing radiation belt models.     

Solar activity prediction studies and services in NAOC

Solar activity prediction services started in 1960’s in National Astronomical Observatories, Chinese Academy of Sciences (NAOC). As one of the members of the International Space Environment Service (ISES), Regional Warning Center of China (RWC-China) was set up in 1990’s. Solar Activity Prediction Center (SAPC), as one of the four sub-centers of RWC-China, is located in NAOC. Solar activity prediction studies and services in NAOC cover short-term, medium-term, and long-term forecast of solar activities. Nowadays, certain prediction models, such as solar X-ray flare model, solar proton event model, solar 10 cm radio flux model, have been established for the practical prediction services. Recently, more and more physical analyses are introduced in the studies of solar activity prediction, such as the magnetic properties of solar active regions and magnetic structure of solar atmosphere. Besides traditional statistics algorithms, Machine Learning and Artificial Intelligence techniques, such as Support Vector Machine (SVM) method, are employed in the establishment of forecast models. A Web-based integrated platform for solar activity data sharing and forecast distribution is under construction.     

改进体育课堂教学质量的几点思考

本文对现在体育教学方法提出了几点改进意见。目的是为了提高体育课的教学质量，增强学生的身体健康。