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91.
Physiologic and metabolic responses of wheat seedlings to elevated and super-elevated carbon dioxide
Lanfang H. Levine Hirokazu Kasahara Joachim Kopka Alexander Erban Ines Fehrl Fatma Kaplan Wei Zhao Ramon C. Littell Charles Guy Raymond Wheeler John Sager Aaron Mills Howard G. Levine 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2008
The metabolic consequence of suboptimal (400 μmol mol−1 or ppm), near-optimal (1500 ppm) and supra-optimal (10,000 ppm) atmospheric carbon dioxide concentrations [CO2] was investigated in an attempt to reveal plausible underlying mechanisms for the differential physiological and developmental responses to increasing [CO2]. Both non-targeted and targeted metabolite profiling by GC–MS and LC–MS were employed to examine primary and secondary metabolites in wheat (Triticum aestivum, cv Yocoro rojo) continuously exposed to these [CO2] levels for 14, 21 and 28 days. Metabolite profile was altered by both [CO2] and physiological age. In general, plants grown under high [CO2] exhibited a metabolite profile characteristic of older plants under ambient CO2. Elevated [CO2] resulted in higher levels of phosphorylated sugar intermediates, though no clear trend in the content of reducing sugars was observed. Transient starch content was enhanced by increasing [CO2] to a much greater extent at 10,000 ppm CO2 than at 1500 ppm CO2. The percentage increase of starch content resulting from CO2 enrichment declined as plants develope. In contrast, elevated [CO2] promoted the accumulation of secondary metabolites (flavonoids) progressively to a greater extent as plants became mature. Elevated [CO2] to 1500 ppm induced a higher initial growth rate, while super-elevated [CO2] appeared to negate such initial growth promotion. However, after 4 weeks, there was no difference in vegetative growth between 1500 and 10,000 ppm CO2-grown plants, both elevated CO2 levels resulted in an overall 25% increase in biomass over the control plants. More interestingly, elevated atmospheric [CO2] reduced evapotranspiration rate (ET), but further increase to the supra-optimal level resulted in increased ET (a reversed trend), i.e. ET at 1500 ppm < ET at 10,000 ppm < ET at 400 ppm. The differential effect of elevated and super-elevated CO2 on plants was further reflected in the nitrogen dynamics. These results provide the potential metabolic basis for the differential productivity and stomatal function of plants grown under elevated and super-elevated CO2 levels. 相似文献
92.
本文利用Solar Mesosphere Explorer(SME)卫星1982年和1983年太阳紫外辐射和赤道地区50-90km臭氧分布的红外观测资料,对臭氧地太阳紫外辐射27天振荡的响应进行了研究,并且利用大气光化波动模式对其进行了理论计算,计算结果与实测结果基本一致。 相似文献
93.
Hongru Chen Huixin Liu Toshiya Hanada 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2014
Upper atmospheric densities during geomagnetic storms are usually poorly estimated due to a lack of clear understanding of coupling mechanisms between the thermosphere and magnetosphere. Consequently, the orbit determination and propagation for low-Earth-orbit objects during geomagnetic storms have large uncertainties. Artificial neural networks are often used to identify nonlinear systems in the absence of rigorous theory. In the present study, an attempt has been made to model the storm-time atmospheric density using neural networks. Considering the debate over the representative of geomagnetic storm effect, i.e. the geomagnetic indices ap and Dst, three neural network models (NNM) are developed with ap, Dst and a combination of ap and Dst respectively. The density data used for training the NNMs are derived from the measurements of the satellites CHAMP and GRACE. The NNMs are evaluated by looking at: (a) the mean residuals and the standard deviations with respect to the density data that are not used in training process, and (b) the accuracy of reconstructing the orbits of selected objects during storms employing each model. This empirical modeling technique and the comparisons with the models NRLMSIS-00 and Jacchia-Bowman 2008 reveal (1) the capability of neural networks to model the relationship between solar and geomagnetic activities, and density variations; and (2) the merits and demerits of ap and Dst when it comes to characterizing density variations during storms. 相似文献
94.
故障模式和影响分析(FMEA)是应用在系统可靠性工程领域的一项成熟技术。文章介绍了FMEA的概念、原理和步骤,并将FMEA应用到空间环境模拟设备中。首先,对空间环境模拟器可靠性分析的必要性进行阐述;接着,以国军标GJB/Z1391-2006为依据,结合空间环境模拟器的特点,阐述空间环境模拟器FMEA工作开展的一般过程。文章以某空间环境模拟器氮系统为例具体进行了FMEA分析,结果表明,将FMEA应用于空间环境模拟器可有效地提高设备运行的可靠性。 相似文献
95.
Mark F. Storz Bruce R. Bowman Major James I. Branson Stephen J. Casali W. Kent Tobiska 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2005,36(12):2497-2505
The dominant error source in force models used to predict low-perigee satellite trajectories is atmospheric drag. Errors in operational thermospheric density models cause significant errors in predicted satellite positions, since these models do not account for dynamic changes in atmospheric drag for orbit predictions. The Air Force Space Battlelab’s High Accuracy Satellite Drag Model (HASDM) estimates and predicts (out three days) a dynamically varying global density field. HASDM includes the Dynamic Calibration Atmosphere (DCA) algorithm that solves for the phases and amplitudes of the diurnal and semidiurnal variations of thermospheric density near real-time from the observed drag effects on a set of Low Earth Orbit (LEO) calibration satellites. The density correction is expressed as a function of latitude, local solar time and altitude. In HASDM, a time series prediction filter relates the extreme ultraviolet (EUV) energy index E10.7 and the geomagnetic storm index ap, to the DCA density correction parameters. The E10.7 index is generated by the SOLAR2000 model, the first full spectrum model of solar irradiance. The estimated and predicted density fields will be used operationally to significantly improve the accuracy of predicted trajectories for all low-perigee satellites. 相似文献
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针对重复使用液体火箭发动机涡轮泵,设计了试验用流体静压轴承,利用不可压层流润滑雷诺方程的线性性质,对轴承液膜压力进行数值求解,计算分析了分别采用水和液氮作为润滑介质时,轴承的承载力和流量特性与偏心率和供给压力的关系;进行了轴承的节流孔流量特性和水润滑试验。结果表明:静压轴承短孔(非典型小孔)节流器的流量系数远超出常用的小孔节流器流量系数的参考范围;在相同的工况下,数值计算得到的水润滑和液氮润滑静压轴承的质量流量相差很小;高速水润滑试验中,主轴在轴承中浮起后的位置主要由供给压力决定,在0~30 000 r/min的转速范围内轴承没有明显的动压效应;数值计算和试验结果均表明静压轴承的质量流量与偏心率基本无关。水和液氮润滑静压轴承性能数值计算和水润滑试验结果为进一步的液氮低温润滑试验奠定了基础。 相似文献