对海上高分辨率二维地震作业的认识

1994－1996年，广州海洋地质调查局承担了南海西部石油公司在北部湾的部分高分辨率二维地震调查工程，调查船使用设备为1993年从美国引进的OYO地震仪（型号为DAS－1），施工过程前期进行了参数选择试验。本文介绍了高分辨地震调查参数选择依据、高分辨率二维采集中的一些注意事项、高分辨率二维采集中的一些注意事项、高分辨率地震资料的采集方法以及一些参数设定的原因。     

Argo浮标电导率漂移误差检测及其校正方法探讨

文章引入位势电导比(potential conductivity ratio)的概念,对一个在西北太平洋上观测时间长达4a的Argo剖面浮标进行了诊断分析,并利用现场CTD资料和简单的误差消除法,对该浮标由电导率传感器漂移所产生的盐度误差进行了校正处理,且与目前同际上公认的WJO方法进行了比较,发现利用现场CTD资料校正Argo浮标长期观测所产生的盐度误差更直观、更简便,其校正结果也是可信的。     

Data Assimilation Modeling of the Barotropic Tides in the Korea/Tsushima Strait

During 1999–2000, 13 bottom mounted acoustic Doppler current profilers (ADCPs) and 12 wave/tide gauges were deployed along two lines across the Korea/Tsushima Strait, providing long-term measurements of currents and bottom pressure. Tidally analyzed velocity and pressure data from the moorings are used in conjunction with other moored ADCPs, coastal tide gauge measurements, and altimeter measurements in a linear barotropic data assimilation model. The model fits the vertically averaged data to the linear shallow water equations in a least-squares sense by only adjusting the incoming gravity waves along the boundaries. Model predictions are made for the O₁, P₁, K₁, μ₂, N₂, M₂, S₂, and K₂ tides. An extensive analysis of the accuracy of the M₂ surface-height predictions suggests that for broad regions near the mooring lines and in the Jeju Strait the amplitude prediction errors are less than 0.5 cm. Elsewhere, the analysis suggests that errors range from 1 to 4 cm with the exception of small regions where the tides are not well determined by the dataset. The errors in the model predictions are primarily caused by bias error in the model’s physics, numerics, and/or parameterization as opposed to random errors in the observational data. In the model predictions, the highest ranges in sea level height occur for tidal constituents M₂, S₂, K₁, O₁, and N₂, with the highest magnitudes of tidal velocities occurring for M₂, K₁, S₂, and O₁. The tides exhibit a complex structure in which diurnal constituents have higher currents relative to their sea level height ranges than semi-diurnal constituents.     

Estimating hypocentral uncertainties for marine microearthquake surveys: A comparison of the generalized inverse and grid search methods

For microearthquake surveys conducted with small networks in regions where the seismic velocity structure has large vertical gradients, the formal errors accompanying hypocentral solutions obtained by a generalized inverse method may be misleading since they do not incorporate the effects of nonlinearity in travel times. An alternative method for estimating uncertainties involves calculating travel time residuals over a regular grid and using the F statistic to contour confidence volumes. We present a statistical expression for the latter confidence limits that is applicable when an independent estimate of arrival time errors is available from observations accumulated for a number of earthquakes. Synthetic experiments comparing the results of the grid search and generalized inverse methods show that in cases where solutions are obtained either without S wave information or for epicenters which lie well outside the network, the effects of nonlinearity on the shape of the confidence regions may be significant. However, for the well-observed events both methods yield comparable confidence volumes in good agreement with the distribution of hypocenters obtained from repeated locations incorporating random errors. The generalized inverse method has the advantage that it requires fewer calculations, so the examination of systematic errors in hypocentral parameters produced by uncertainties in the seismic velocity structure can be studied in a more computationally efficient manner. Except in the cases of poorly resolved earthquakes, the effects of nonlinearity on uncertainties in hypocentral parameters can be observed by the application of the F statistic to the variation of the generalized inverse travel time residuals with focal depth.     

一种多层神经网络的学习算法

提出一种基于序贯预测误差方法（ＳＰＥ）的多层神经网络（ＭＮＮ）的学习算法。经模拟计算，它比传统的基于最陡下降方法的误差反传（ＳＤＢＥＰ）算法具有更好的收敛性能。并对这两种算法进行了模拟计算的比较．     

GMRES方法在大型离岸结构水弹性分析中的应用

使用GMRES方法求解了大型离岸结构水弹性分析所获得的复系数线性方程组，并按照向后误差分析的方法，给出了它的终止准则。数值试验表明对于所考虑的问题，GMRES方法优于直接方法。     

不等保护能力纠错编码在水声信息传输中应用的研究

通过分析水声信道的特性和水声信息源的特点 ,结合信道编码理论与技术的最新进展 ,提出了一种全新的、能适合于水声信息传输的、高性能的不等保护能力纠错编解码方法。     

玻璃钢渔船船体切片之拉伸试验研究

玻璃钢渔船有很多优异的性能，因而有逐渐取代木质渔船的趋势。为推进玻璃钢渔船的产业化进程，作者查阅了大量国内外有关资料，并进行了玻璃钢渔船船体材料切片的拉伸试验，最终提出了我国玻璃钢渔船船体材料切片的拉伸试验的试验规程，以供我国今后制定玻璃钢渔船船体材料拉伸试验标准时作为参考。     

海洋磁力测量仪器系统检验方法研究

高精度的海洋磁力测量对磁测仪器系统的测量精度提出了更高的要求,文中对海洋磁力测量仪器系统检验的内容和动静态检验方法进行了研究,并通过实例验证其可行性。结论表明:所提出的仪器系统检验方法可以消除仪器系统误差的影响,提高海洋磁力测量精度,保证成果的可靠性。     

双拖网网口扩张的估算方法

本文用计算确定双拖网曳纲的空间形状与张力,估算在一定拖速下两船间距、水深与网具水平扩张的关系。根据模型试验测出的水平与垂直扩张值,换算出双拖网网口高度并与实测结果比较。可针对各级渔轮和生产条件,广泛计算并列出图表,以便在生产中用于双拖网调整。