Response of photosynthetic systems to salinity stress in the desert cyanobacterium Scytonema javanicum

The present study investigated the physiological and biochemical characteristics of Scytonema javanicum, a pioneer species isolated from desert biological crusts, under salinity stress. Pigment analysis showed that salinity decreased chlorophyll a and phycocyanin content, while low salinity increased carotenoid concentration and high salinity decreased carotenoid concentration. Salinity also inhibited CO₂ assimilation rate and photosynthetic oxygen evolution in this cyanobacterium. Chlorophyll a fluorescence transient parameters (φPo, φEo, ψO, RC/ABS, RC/CS, PI_ABS, and PI_CS) were decreased under salt stress, while dVo/dto(Mo), Vj and φDo were increased. The decrease of ETRmax and Yield and the change of chlorophyll a fluorescence transients showed that salt stress had an important influence on photosynthesis. These results indicated that the effects of salinity stress on photosynthesis in S. javanicum may depend on the inhibition of electron transport and the inactivation of the reaction centers, but this inhibition may occur in the electron transport pathway at the PSII donor and acceptor sites.     

Study of daytime vertical E × B drift velocities inferred from ground-based magnetometer observations of ΔH,at low latitudes under geomagnetically disturbed conditions

In this study, 30 storm sudden commencement (SSC) events during the period 2001–2007 for which daytime vertical E × B drift velocities from JULIA radar, Jicamarca (geographic latitude 11.91°S, geographic longitude 283.11°E, 0.81°N dip latitude), Peru and ΔH component of geomagnetic field measured as the difference between the magnitudes of the horizontal (H) components between two magnetometers deployed at two different locations Jicamarca (geographic latitude 11.91°S, geographic longitude 283.11°E, 0.81°N dip latitude) and Piura (geographic latitude 5.21°S, geographic longitude 279.41°E, 6.81°N dip latitude), in Peru, were considered. It is observed that a positive correlation exists between peak value of daytime vertical E × B drift velocity and peak value of ΔH for the three consecutive days of SSC. A qualitative analysis made after selecting the peak values of daytime vertical E × B drift velocity and ΔH showed that 57% of the events have daytime vertical E × B drift velocity peak in the magnitude range 20–30 m/s and 63% of the events have ΔH peak in the range 80–100 nT. The maximum probable (45%) range of time of occurrence of peak value for both vertical E × B drift velocity and ΔH during the daytime hours were found to be the same, i.e., 10:00–12:00 LT. A strong positive correlation was also found to exist between the daytime vertical E × B drift velocity and ΔH for all the three consecutive days of SSC, for all the events considered. To establish a quantitative relationship between day time vertical E × B drift velocity and ΔH, linear and polynomial (order 2 and 3) regression analysis (Least Square Method (LSM)) were carried out, considering the fully disturbed day after the commencement of the storm as ‘disturbed period’ for the SSC events selected for analysis. The formulae indicating the relationship between daytime vertical E × B drift velocity and ΔH, for the ‘disturbed periods’, obtained through the regression analysis were verified using the JULIA radar observed E × B drift velocity for 3 selected events. Root Mean Square (RMS) error analysis carried out for each case suggest that polynomial regression (order 3) analysis provides a better agreement with the observations from among the linear, polynomial (order 2 and 3) analysis.     

基于相空间重构的f_0F_2一步预测算法研究

利用低纬度地区某垂测站2005年3月和4月两个月,f0F2参数共5856个数据样奉,对提前15min的一步预测算法进行了研究.基于混沌时间序列的相空间重构方法,以相近邻点轨迹具有相似性为预测理论基础,采用k最近邻点的方法对下一时刻的,f0F2进行预测.对邻点个数的选取采用了训练法和自适应选择法,对选出的邻点采用平均法和自回归两种方法进行处理,并对几种不同方法的预测结果进行了比较.结果证明,基于相空间重构的一步预测算法预测精度较高,并且容易实现,运算速度高,适用于电离层参数准实时预报.     

航空发动机0Cr18Ni9 不锈钢导管数控弯曲回弹规律

为了有效地解决航空发动机导管弯曲成形时的回弹问题，开展了0Cr18Ni9不锈钢管数控弯曲工艺试验，采用单一变量 法研究了管径、壁厚、相对弯曲半径、弯曲角对回弹的影响规律，并通过数值仿真和正交试验法分析了弯曲速度、弯模间隙等工艺 参数，以及弹性模量、屈服强度、硬化指数对弯曲回弹角的影响。结果表明：回弹角与弯曲角呈显著的线性关系，当弯曲角在180° 以内时，回弹角为1.6°~6.0°；建立了回弹角预测线性方程，预测误差在[-0.425°，0.502°]内的概率为99.74%，并基于此方程开展了全 尺寸导管的回弹角预测和补偿工艺试验；在各工艺参数中弯曲速度和弯模间隙对回弹角的影响较大，可引起大于0.5°的偏差，而 因材料参数变化导致的回弹角变化不超过0.05°。