中层大气Rossby波与惯性重力波的非线性相互作用（Ⅱ）波包之间的相互激发

进一步讨论了大中尺度Ｒｏｓｓｂｙ波与惯性重力波的非线性相互作用问题．从共振相互作用曲线来看，Ｒｏｓｓｂｙ波和惯性重力波可以在相当广泛的角谱范围内发生共振非线性相互作用．在一定条件下，一个大振幅波包可以激发两个小振幅波包不稳定增长而出现参量不稳定现象，这三个波包可以是同种类型或不同类型的波包．当两个大振幅波包发生相互作用时，非线性过程会产生另一个波包并使它增长，并且增长速度大于仅有一个大振幅波包时的增长速度．大尺度Ｒｏｓｓｂｙ波包税发两个较小尺度惯性重力波的过程是一种重要的能量串级（ｃａｓｃａｄｅ）过程．     

关于台阵记录分析中相似衰落法的可用性

本文在被测场为多维各向异性并存在混乱运动的情况下,导出了Pǜtter时差矢量图中的等概率椭球面与Briggs-Phillips-Shinn的相关函数特征椭球面之间的几何联系及有关的关系式,从而阐明了相似衰落法与相关分析法具有共同的理论基础。文中还对原有的相似衰落法提出了一些改进办法。在这种改进中,用等概率椭圆代替Pütter直线,因而能用简单的几何作图法迅速而又相当精确地确定相关分析法所能确定的全部欲求的物理量。此外,在作图过程中,物理图象直观,还可直接检验所测物理量的可靠性和精度。     

非单一电离层扰动场的台阵探测分析

真实的ＴＩＤ一类大尺度电离层扰动是非平稳和色散的，而且是统计非单一的．本文首先给出了描述这种真实扰动场的数学模型，进而导出了联系台阵探测可测量与扰动场传播参量的观测方程，在此基础上提出了求解观测方程的时频分析方法．这一台阵探测数据分析的新方法，既能分离出非单一电离层扰动场中各种准单一扰动成分，又能获得准单一扰动成分传播参量随时间的演变和随频率的色散．分析实例表明，本文方法分辨率好，精度高，结果可靠，是适用于ＴＩＤ一类大尺度电离层扰动台阵探测数据分析的有效方法．     

Research on the seismotectonics of the Jan－uary 17，1995 Hanshin M7．2 earthquake

ＲｅｓｅａｒｃｈｏｎｔｈｅｓｅｉｓｍｏｔｅｃｔｏｎｉｃｓｏｆｔｈｅＪａｎ┐ｕａｒｙ１７，１９９５ＨａｎｓｈｉｎＭ７．２ｅａｒｔｈｑｕａｋｅＺＨＵ－ＪＵＮＨＡＮ１）（韩竹君），ＦＵ－ＨＵＲＥＮ２）（任伏虎），ＹｕｊｉｒｏＯｇａｗａ２）（小川雄二郎）ａ...     

Biomonitoring of coastal pollution status using protozoan communities with a modified PFU method

Structural and functional parameters of protozoan communities were assessed as indicators of water quality in Korean coastal waters in the summer of 2000. A modified polyurethane foam unit (PFU) method, named the bottled PFU (BPFU) system, was used in order to carry out the bioassessment. Both parameters suggested that biomonitoring using the BPFU system was more effective than the conventional PFU method in offshore areas. The species number collected by the BPFU system generally decreased as pollution intensity increased at three main stations and was greater than that collected using the PFU method (paired t-test, t = 4.83, p < 0.0001). The Margalef diversity index coincided well with the water conditions. The diversity index values calculated from the BPFU system were also significantly higher than those from the PFU method (paired t-test, t = 5.37, p < 0.0001). Furthermore, the functional parameters, i.e. S(eq),G and T90%, correlated with the pollution status and could thus clearly discriminate the different classes of water quality.     

Simulation of the extreme waves generated by typhoon Bolaven (1215) in the East China Sea and Yellow Sea

Record-breaking high waves occurred during the passage of the typhoon Bolaven (1215) (TYB) in the East China Sea (ECS) and Yellow Sea (YS) although its intensity did not reach the level of a super typhoon. Winds and directional wave measurements were made using a range of in-situ instruments mounted on an ocean tower and buoys. In order to understand how such high waves with long duration occurred, analyses have been made through measurement and numerical simulations. TYB winds were generated using the TC96 typhoon wind model with the best track data calibrated with the measurements. And then the wind fields were blended with the reanalyzed synoptic-scale wind fields for a wave model. Wave fields were simulated using WAM4.5 with adjustment of C_d for gust of winds and bottom friction for the study area. Thus the accuracy of simulations is considerably enhanced, and the computed results are also in better agreement with measured data than before. It is found that the extremely high waves evolved as a result of the superposition of distant large swells and high wind seas generated by strong winds from the front/right quadrant of the typhoon track. As the typhoon moved at a speed a little slower than the dominant wave group velocity in a consistent direction for two days, the wave growth was significantly enhanced by strong wind input in an extended fetch and non-linear interaction.     

Neural network and wavelet conjunction model for modelling monthly level fluctuations in Turkey

This paper proposes the application of a conjunction model (neuro‐wavelet) for forecasting monthly lake levels. The neuro‐wavelet (NW) conjunction model is improved combining two methods, discrete wavelet transform and artificial neural networks. The application of the methodology is presented for the Lake Van, which is the biggest lake in Turkey, and Lake Egirdir. The accuracy of the NW model is investigated for 1‐ and 6‐month‐ahead lake level forecasting. The root mean square errors, mean absolute relative errors and determination coefficient statistics are used for evaluating the accuracy of NW models. The results of the proposed models are compared with those of the neural networks. In the 1‐month‐ahead lake level forecasting, the NW conjunction model reduced the root mean square errors and mean absolute relative errors by 87–34% and 86–31% for the Van and Egirdir lakes, respectively. In the 6‐month‐ahead lake level forecasting, the NW conjunction model reduced the root mean square errors and mean absolute relative errors by 34–48% and 30‐46% for the Van and Egirdir lakes, respectively. The comparison results indicate that the suggested model could significantly increase the short‐ and long‐term forecast accuracy. Copyright © 2009 John Wiley & Sons, Ltd.     

Genetic Structure and Diversity of the Moon Jellyfish Aurelia coerulea Polyp Population in Jaran Bay,Korea, Revealed by Mitochondrial COI and 16S rRNA Genes

Ocean Science Journal - Blooms of the moon jellyfish (Aurelia coerulea) have been responsible for huge economic losses and environmental disruptions in oceans around the world. The mass occurrence...