Establishment and application of an intelligent treating method for oil spill identification

In the identifying process of an oil spill accident, manual integral and artificial visual comparison are commonly used at present to determine the oil spill sources, these methods are time-consuming and easily affected by human factors. Therefore, it is difficult to achieve the purpose of rapid identification of an oil spill accident. In this paper, an intelligent method of automatic recognition, integration and calculation of diagnostic ratio of Gas Chromatography-Mass Spectrometer (GC/MS) spectrum are established. Firstly, four hundreds of samples collected around the world were analyzed using a standard method and Retention time locking technology (RTL) was applied to reduce the change of retention time of GC/MS spectrum. Secondly, the automatic identification, integration of n-alkanes, biomarker compounds, polycyclic aromatic hydrocarbons and calculation of the diagnostic ratios were realized by MATLAB software. Finally, a database of oil fingerprints were established and applied successfully in a spill oil accident. Based on the new method and database, we could acquire the diagnostic ratios of an oil sample and find out the suspected oil within a few minutes. This method and database can improve the efficiency in spilled oil identification.     

长坑金银矿床的铅,锶,硫同位素特征与矿化模式

长坑矿床金、银矿石的铅同位素组成具有一定的差异，前者的２０６Ｐｂ／２０４Ｐｂ比值变化大，后者较富２０７Ｐｂ／２０８Ｐｂ。金矿石中的铅为普通铅与放射成因铅混合而成的异常铅，银矿石中的铅则可能为三阶段铅混合的产物，且二者均为壳源。方解石的８７Ｓｒ／８６Ｓｒ比值显示锶来自地壳。金、银矿石硫化物的δ３４Ｓ值分别以分散（平均值为负）和较为集中（平均值为正）为特征，并与铅同位素组成之间存在相关关系。结合金、银的矿化分带现象，提出了铅同位素特征与氧化势不同的流体相互混合的成矿模式。     

基于结构特征的SAR船只类型识别能力分析

1 引言 SAR是船只探测的有效手段,利用SAR影像不仅可以检测船只目标,而且还可以提取船只的长度、宽度以及航速、航向等信息.随着星载SAR空间分辨率的提高,使基于星载SAR影像的船只类型识别成为可能.利用星载SAR可以检测出大面积范围内的船只和初步识别其类型.     

基于16S rRNA和recA香鱼鳗利斯顿氏菌的分离鉴定

为研究引起香鱼(Plecoglossus altivelis)出血溃烂症病因及致病菌系统发育地位,本研究从患病香鱼的肝脏、肾脏及体表分离到11株病原菌(编号:X0901-X0911),运用常规细菌生理生化方法鉴定致病菌所属种类;运用16SrRNA基因、recA基因序列分析方法研究致病菌的系统发育地位。细菌生理生化鉴定结果表明:致病菌为鳗利斯顿氏菌,11株细菌生理生化结果相同,均为革兰氏阴性杆菌、氧化酶阳性、接触酶阳性、吲哚阳性、精氨酸脱羧酶阳性、精氨酸双水解酶阳性、硝酸盐还原阳性、甘露醇阳性、MR测定阳性;H2S阴性、V-P测定阴性等。根据16SrRNA基因、recA基因序列分别构建弧菌科常见细菌系统进化树,结果表明:致病菌与鳗利斯顿氏菌(Listonella anguillarum)均聚为一枝,聚类结果与细菌生理生化鉴定结果相符。致病菌与鳗利斯顿氏菌16SrRNA基因、recA基因的同源性分别为99.9%、99.8%。以recA基因构建的系统进化树的拓扑学结构与16SrRNA基因建树结果相类似。此外,与16SrRNA基因相比,recA基因在不同物种之间具有更高的鉴别能力,本研究表明recA基因适合作为弧菌科常见细菌物种间进化关系研究的标记。     

黄河入海口冲积平原覆盖区近地表岩土特性与识别方法

黄河三角洲冲积平原区近地表岩性变化剧烈,重点从黄河三角洲浅层沉积模式分析了岩性分布差异,统计了不同岩土的塑性、应力、压缩特性规律,探索了利用这种岩性特征差异识别岩性的方法,为地震采集提供准确的激发层段,为地震资料处理提供精细的静校正量。     

500kN 足尺磁流变液阻尼器设计的关键技术

对我们制作的、目前出力居世界前列的500kN足尺MR阻尼器设计的关键技术、阻尼器的性能试验及力学模型的参数识别进行了研究。在对磁流变液材料的最大屈服剪应力、抗沉降稳定性以及磁滞响应时间等关键性能试验分析的基础上,确认该磁流变液的抗沉降稳定性和其他两项性能指标满足MR阻尼器的设计与工程应用要求。同时,对此500kN足尺MR阻尼器设计的关键技术,包括内置式碟型弹簧蓄能器、磁场防漏设计以及引线保护等进行了介绍;并通过对此MR阻尼器性能的试验,依据阻尼最小二乘法,对MR阻尼器采用的修正的B ingham模型的参数进行了识别,得到了与试验结果吻合的MR阻尼器的力学模型。通过研究可知,高性能磁流变液材料的制备以及MR阻尼器设计的关键技术是大吨位足尺MR阻尼器成功的关键。     

地震作用下结构时变物理参数识别

利用小波分析函数多尺度逼近方法,将剪切型结构在地震作用下时变的阻尼和刚度用尺度函数的线性组合表示,将时变参数的辨识问题转化为由已知的正交尺度函数和系统的输入输出来估计线性组合中的时不变系数问题,用最小二乘法对剪切型框架结构在地震作用下时变的刚度和阻尼进行了有效的辨识。此方法无需事先假定系统参数的时变规律,在有噪声情况下可以用Tikhonov正则化方法减小识别方程的不适定性对识别结果的影响。数值算例表明了该方法的有效性。     

Discrete wavelet‐based trend identification in hydrologic time series

Trend identification is a substantial issue in hydrologic series analysis, but it is also a difficult task in practice due to the confusing concept of trend and disadvantages of methods. In this article, an improved definition of trend was given as follows: ‘a trend is the deterministic component in the analysed data and corresponds to the biggest temporal scale on the condition of giving the concerned temporal scale’. It emphasizes the intrinsic and deterministic properties of trend, can clearly distinguish trend from periodicities and points out the prerequisite of the concerned temporal scale only by giving which the trend has its specific meaning. Correspondingly, the discrete wavelet‐based method for trend identification was improved. Differing from those methods used presently, the improved method is to identify trend by comparing the energy difference between hydrologic data and noise, and it can simultaneously separate periodicities and noise. Furthermore, the improved method can quantitatively estimate the statistical significance of the identified trend by using proper confidence interval. Analyses of both synthetic and observed series indicated the identical power of the improved method as the Mann–Kendall test in assessing the statistical significance of the trend in hydrologic data, and by using the former, the identified trend can adaptively reflect the nonlinear and nonstationary variability of hydrologic data. Besides, the results also showed the influences of three key factors (wavelet choice, decomposition level choice and noise content) on discrete wavelet‐based trend identification; hence, they should be carefully considered in practice. Copyright © 2012 John Wiley & Sons, Ltd.     

EFFECTS OF ANOMALOUS HEATING ON SUMMER MONSOON OVER ASIA

Based on a zonally non-uniform mean circulation in summer simulated by numerical modelling,perturba-tion heatings ever South Asia and a perturbation cooling over Northwest Australia were incorporated in a nu-merical model to discuss their effects on summer monsoon over Asia and the structure of flow disturbance.