海洋链霉菌M506 的鉴定及代谢产物抑菌活性初步研究

自胶州湾沉积物中分离出海洋链霉菌M506,根据其形态特征观察、生理生化特征试验及基于16S rDNA序列系统进化分析,初步鉴定该菌为灰略红链霉菌.采用不同培养条件对其进行小规模发酵,利用金黄色葡萄球菌(Staphylococcus aureus),大肠杆菌(Escherichia coli),枯草芽孢杆菌(Bacillus subtilis)和苏云金芽孢杆菌(Bacillus thuringiensis)四株细菌作为指示菌,检测其抑菌活性.结果表明,该菌株代谢产物粗提物对于金黄色葡萄球菌、枯草芽孢杆菌和大肠杆菌等具有显著抑制活性.     

渤海油田中深层低阻油层测井特征及识别

渤海油田近些年来在中深层储层的勘探开发中发现了一定数量的低阻油层,不少此类油层经试油证实有较高的产能,一些油田低阻油层所占储量比重达到了60%以上,为提高低阻层的识别效果,迫切需要对低阻油层的成因和识别方法进行总结。在总结其他油田类似储层评价经验的基础上,以测井、录井、岩心实验分析及DST测试等资料为依据,分析了渤海地区常见低阻油层的测井响应特征及对应的识别方法。研究结果表明:孔隙结构复杂、高矿化度泥浆侵入、地层水矿化度变化等是形成渤海地区中深层低阻油层的主要原因,采用常规测井技术、录井技术和核磁共振、阵列声波等技术组合可以较好地进行低阻油层的识别。     

基于同步风场的机载SAR海浪参数反演方法

针对机载合成孔径雷达(SAR)对海探测特点,采用多入射角法从SAR数据本身得到与海浪参数反演区域时空匹配的同步海面风速和风向,并结合线性变换关系,计算得到海浪初猜谱对应的仿真SAR图像谱,将仿真SAR图像谱和观测SAR图像谱输入代价函数中进行迭代运算,通过非线性方程的解算得到最适海浪谱;采用交叉谱法去除海浪传播180°方向模糊,最终得到海浪参数。论文提出的基于同步风场的机载SAR海浪参数反演方法,充分利用了机载SAR海洋环境探测的优势,解决了传统SAR海浪参数反演中初猜谱构造依赖外部风场的问题,机载同步飞行试验的海浪参数反演结果与浮标观测值的有效波高、波向的均方根误差分别为0.23 m和13.23°,验证了该方法的有效性,可为机载SAR海浪参数反演业务化提供支持。     

海洋二号微波散射计极地海冰识别算法研究

An Antarctic sea ice identification algorithm on the HY-2A scatterometer(HSCAT) employs backscattering coefficient(σ0) and active polarization ratio(APR) for a preliminary sea ice identification.Then standard deviation(STD) filtering and space filtering are carried out.Finally,it is used to identify sea ice.A process uses a σ0,STD threshold and an APR as sea ice indicators.The sea ice identification results are verified using the sea ice distribution data of the ASMR2 released by the National Snow and Ice Data Center as a reference.The results show very good consistence of sea ice development trends,seasonal changes,area distribution,and sea ice edge distribution of the sea ice identification results obtained by this algorithm relative to the ASMR2 sea ice results.The accuracy of a sea ice coverage is 90.8% versus the ASMR2 sea ice results.This indicates that this algorithm is reliable.     

海洋水色卫星遥感器特性参数探讨

为了评价海洋水色卫星遥感器特性参数的优劣，确定仪器的计量特性及其使用价值，准确的理解和科学的定义仪器的特性参数是非常重要的。作者曾有幸参加了海洋水色卫星的立项论证工作，本文就作者的一些工作体会，对海洋水色卫星遥感器的特性参数作初步探讨。     

A rational approach to seepage flow effects on bottom friction beneath random waves

The bottom friction beneath random waves is predicted taking into account the effect of seepage flow. This is achieved by using wave friction factors for rough turbulent, smooth turbulent and laminar flow valid for regular waves together with a modified Shields parameter which includes the effect of seepage flow. Examples using data typical to field conditions are included to illustrate the approach. The analytical results can be used to make assessment of seepage effects on the bottom friction based on available wave statistics. Generally, it is recommended that a stochastic approach should be used rather than using the rms values in an otherwise deterministic approach.     

Validation of ship manoeuvring models using metamodels

This paper describes how simplified auxiliary models—metamodels—can be used to create benchmarks for validating ship manoeuvring simulation models. A metamodel represents ship performance for a limited range of parameters, such as rudder angles and surge velocity. In contrast to traditional system identification methods, metamodels are identified from multiple trial recordings, each containing data on the ship’s inherent dynamics (similar for all trials) and random disturbances such as environmental effects and slightly different loading conditions. Thus, metamodels can be used to obtain these essential data, where simple averaging is not possible. In addition, metamodels are used to represent a ship’s behaviour and not to obtain physical insights into ship dynamics. The experimental trials used for the identification of metamodels can be found in in-service recorded data. After the metamodel is identified, it is used to simulate trials without substantial deviations from the ship state parameters used for the identification. Subsequently, the predictions of the metamodels are compared with the predictions of a tested manoeuvring simulation model. We present two case studies to demonstrate the application of metamodels for moderate turning motions of two ships.     

Trimmed L-moments (1,0) for the generalized Pareto distribution

Abstract

Statistical analysis of extremes is often used for predicting the higher return-period events. In this paper, the trimmed L-moments with one smallest value trimmed—TL-moments (1,0)—are introduced as an alternative way to estimate floods for high return periods. The TL-moments (1,0) have an ability to reduce the undesirable influence that a small value in the statistical sample might have on a large return period. The main objective of this study is to derive the TL-moments (1,0) for the generalized Pareto (GPA) distribution. The performance of the TL-moments (1,0) was compared with L-moments through Monte Carlo simulation based on the streamflow data of northern Peninsular Malaysia. The result shows that, for some cases, the use of TL-moments (1,0) is a better option as compared to L-moments in modelling those series.

Citation Ahmad, U.N., Shabri, A. & Zakaria, Z.A. (2011) Trimmed L-moments (1,0) for the generalized Pareto distribution. Hydrol.Sci. J. 56(6), 1053–1060.     

单晶高温合金X射线衍射斑点自动识别算法研究

单晶高温合金展现出优越的抗疲劳性能和高温蠕变性能,广泛应用于航空发动机和燃气轮机的热端部件。但是,其制备过程中会产生晶体取向偏离、杂晶等缺陷。目前国际上已经普遍使用X射线劳埃衍射技术对单晶叶片的晶体缺陷进行无损检测,但是这种检测方法主要依赖人工识别,效率低,结果可重复性差,不适合批量化检测。本文结合工程需要,提出对劳埃衍射斑点进行自动识别的算法,主要包括衍射图样的预处理、轮廓检测、轮廓形态筛选及轮廓符合检测等。该算法能够自动检测出衍射图样上的衍射斑点,并最终给出斑点的位置坐标数据及其误差。根据衍射斑点的位置,通过衍射分析算法,计算出单晶叶片上的晶体取向,并最终对叶片的晶体缺陷给出综合评价。