Properties of Broad Band Continuum of Narrow Line Seyfert 1 Galaxies

We have performed a statistical study of the properties of the broadband continuum of Narrow Line Seyfert 1 galaxies (NLS1s) by collecting ratio,infrared, optical and X-ray continuum data from various databases and comparedthe results with control samples of Broad Line Seyfert 1 galaxies (BLSls). We findthat the fraction (～ 6%) of Radio Loud (RL) NLSls is significantly less than thatof BLS1s (～ 13%), which is caused by the lack of radio-very-loud sources in theformer. The rarity of RL NLS1s, especially radio-very-loud ones, is consistent withthe scenario of small black hole and high accretion rate for NLSls. Six new radio loudNLSls are found and five RL NLS1 candidates are presented. In comparison withthe BLS1s, the NLS1s tend to have stronger far infrared emission, cooler infraredcolors and redder B- K color, which suggests that NLS1s are hosted by dust-richernuclei. The NLS1s also show steeper soft X-ray spectrum and large soft X-rayto optical flux ratio, while a significant fraction show fiat soft X-ray spectra. Atleast two factors can account for this, absorption and spectral variability. We alsoperform a correlation analysis between various broad band data. It is found thatmost correlations identified for NLS1s are also valid for radio quiet BLS1s: (1) theoptical colors are anti-correlated with X-ray spectral index; (2) higher optical, X-ray and NIR luminosity objects show bluer optical colors and red H - K color; (3)higher luminosity objects show warmer IRAS color; (4) the radio loudness correlateswith B - K and X-ray to optical flux ratio. Radio loud objects behave somewhatdifferently in a few correlations.     

北黄海大鹿岛海域营养盐分布特征

根据１９９０年７月辽宁省海岛调查资料，本文讨论了北黄海大鹿岛海水营养盐（ＰＯ４－Ｐ，ＳｉＯ３－Ｓｉ，ＮＯ３－Ｎ，ＮＨ４－Ｎ，ＮＯ２－Ｎ）分布特征，并对海域环境质量作了初步评价。     

西沙礁序列的磁性地层学研究

利用西沙群岛西琛一井３３０ｍ以上井段的１４９块岩心标本，用美国２－Ｇ型超导磁力仪进行了古地磁测定，获得了一个从更新世至中新世晚期包括布容，松山，高斯和吉尔伯特四个极性时及若干亚极性的磁性地层柱，为礁序列的划分对比，提供了新的依据。     

The Data Depth-weight-kernel Estimation of the Model Error of Satellite Orbit Determination

It is an objective fact that there exists error in the satellite dynamic model and it will be transferred to satellite orbit determination algorithm, forming a part of the connotative model error. Mixed with the systematic error and random error of the measurements, they form the unitive model error and badly restrict the precision of the orbit determination. We deduce in detail the equations of orbit improvement for a system with dynamic model error, construct the parametric model for the explicit part of the model and nonparametric model for the error that can not be explicitly described. We also construct the partially linear orbit determination model, estimate and fit the model error using a two-stage estimation and a kernel function estimation, and finally make the corresponding compensation in the orbit determination. Beginning from the data depth theory, a data depth weight kernel estimator for model error is proposed for the sake of promoting the steadiness of model error estimation. Simulation experiments of SBSS are performed. The results show clearly that the model error is one of the most important effects that will influence the precision of the orbit determination. The kernel function method can effectively estimate the model error, with the window width as a major restrict parameter. A data depth-weight-kernel estimation, however, can improve largely the robustness of the kernel function and therefore improve the precision of orbit determination.     

The Important Role Played by Atmospheric Angular Momentum in the Non-linear Prediction of the Variations in the Length of Day

The variation in the length of day has complicated time-varying characteristics and the traditional method for linear time series analysis is always difficult to obtain good effect of prediction. If the non-linear artificial neural network technique is adopted to predict the variation in the length of day, the topological structure of the network model is determined by the least square error method. By taking into account the close relation between the variation in the length of day and the general circulation of atmosphere, the axial sequence of atmospheric angular momentum is introduced into the forecasting model of neural network. The results show that the forecast accuracy is significantly improved by taking advantage of the combination of the length of day and the atmospheric angular momentum sequence in comparison with the individual adoption of the data of the length of day.     

基于LSH方法的珊瑚礁鱼类竞争压力查询和资源分配方法

基于海洋大数据查询技术的珊瑚礁鱼类保护策略是海洋科学研究的重要课题, 其中鱼群竞争状况对鱼类保护具有重要意义。研究鱼群竞争状况就必须模型化鱼群与珊瑚礁的依赖关系。作为一个简单有效的大数据模型, 图模型是表达这个关系的实用模型。文章提出表达珊瑚礁鱼类种群和珊瑚礁资源依赖关系的竞争图建模方法, 并提出基于局部敏感哈希(Local Sensitive Hashing, LSH)的鱼类种群竞争压力竞争图查询方法, 得到鱼类种群的实时竞争压力状况; 然后根据LSH查询结果, 分析出需要优先保护的鱼类种群; 最后对这些需要优先保护的鱼类种群设计了基于构建人工礁的资源分配方法, 使得区域内珊瑚礁鱼类总体竞争状况改善。     

A new bounding surface model for thermal cyclic behaviour

To accurately predict soil volume changes under thermal cycles is of great importance for analysing the performance of many earth structures such as the energy pile and energy storage system. Most of the existing thermo‐mechanical models focus on soil behaviour under monotonic thermal loading only, and they are not able to capture soil volume changes under thermal cycles. In this study, a constitutive model is proposed to simulate volume changes of saturated soil subjected to cyclic heating and cooling. Two surfaces are defined and used: a bounding surface and a memory surface. The bounding surface and memory surface are mainly controlled by the preconsolidation pressure (a function of plastic volumetric strain) and the maximum stress experienced by the soil, respectively. Under thermal cycles, the distance of the two surfaces and plastic modulus increase with an accumulation of plastic strain. By adopting the double surface concept, a new elastoplastic model is derived from an existing single bounding surface thermo‐mechanical model. Comparisons between model predictions and experimental results reveal that the proposed model is able to capture soil volume changes under thermal cycles well. The plastic strain accumulates under thermal cycles, but at a decreasing rate, until stabilization. Copyright © 2017 John Wiley & Sons, Ltd.     

渤海湾盆地A油田新近系明下段沉积特征及演化模式

渤海湾盆地A油田新近系明下段Ⅱ—Ⅴ油组是其主力含油层位。通过观察分析岩心资料的沉积构造特征、岩矿特征和粒度特征、测井形态、地球物理属性等特征,综合判定其主要发育曲流河和浅水三角洲两种沉积相类型,油田范围内曲流河主要发育河道、决口扇、天然堤和泛滥平原4种沉积微相,浅水三角洲主要发育水下分支河道、水下天然堤、河口坝和分流间湾4种沉积微相。通过分析沉积相特征,结合高分辨率层序地层学观点,对A油田明下Ⅱ—Ⅴ油组的垂向演化特征进行了探讨,结果表明:处于长周期上升半旋回的Ⅴ油组曲流河呈条带状分布;处于长周期下降半旋回初期的Ⅳ油组浅水三角洲平面呈坨状,内部砂体连通性差;处于长周期下降半旋回中期的Ⅲ油组浅水三角洲平面呈朵叶状,砂体以侧向叠置为主;处于长周期下降半旋回晚期的Ⅱ油组浅水三角洲平面呈鸟足状,砂体以垂向叠置为主。最终提出该油田沉积演化模式。     

Electro-osmotic permeability model based on ions migration

Acta Geotechnica - Electro-osmotic permeability is a very important parameter in soil drainage and electrochemical remediation. The present widely used equation for calculating the electro-osmotic...     

中国海相油气田勘探实例之五塔中奥陶系大型凝析气田的勘探和发现

塔中奥陶系碳酸盐岩的勘探始于1989年,直至2005年发现塔中Ⅰ号坡折带奥陶系碳酸盐岩凝析气田,探明加控制石油地质储量1.5×108t(油当量),是我国目前发现的第一个奥陶系生物礁型大油气田。油气的主力产层位于上奥陶统良里塔格组上部,储层为受坡折带控制的陆棚边缘礁滩体石灰岩。油气沿坡折带呈带状展布,为整体含油的大型准层状岩性油气藏。论述了塔中碳酸盐岩大油气田的勘探历程、主要地质特征,以及对海相碳酸盐岩勘探的启示。