Statistical study on great geomagnetic storms during solar cycle 23

Characteristics of great geomagnetic storms during solar cycle 23 were statistically investigated. Firstly, we focused on the uniqueness of solar cycle 23 by analyzing both the great storm number and sunspot number from 1957 to 2008. It was found that the relationship between the sunspot number and great storm number weakened as the activity of the storms strengthened. There was no obvious relationship between the annual sunspot number and great storm number with Dstxi≤-300 nT. Secondly, we studied the relationship between the peak Dst and peak Bz in detail. It was found that the condition Bz≤-10 nT is not necessary for storms with Dst≤-100 nT, but seems necessary for storms with Dst≤-150 nT. The duration for Bz≤-10 nT has no direct relationship with the giant storm. The correlation coefficient between the Dst peak and Bz peak for the 89 storms studied is 0.81. After removing the effect of solar wind dynamic pressure on the Dst peak, we obtained a better correlation coefficient of 0.86. We also found the difference between the Dst peak and the corrected Dst peak was proportional to the Dst peak.     

基于点云曲线辨识的卫星激光数据预处理算法

针对卫星激光数据处理算法这一难题,分析了COMPASS系统GEO卫星激光观测数据的质量,讨论了反求工程和计算机视觉中的曲线识别与激光观测数据预处理的异同,提出了基于点云曲线辨识的卫星激光数据预处理算法。该算法将卫星激光观测数据预处理视为有序带噪声的空间曲线重建问题,利用COMPASS系统多圈GEO卫星实测数据进行验证。结果表明：该方法与常用算法一致率在85％以上,能够实现激光观测数据的自动处理与满足导航系统的需要。     

天津市地震前兆台网的运行监控与维护管理

介绍天津市地震前兆台网的基本概况以及前兆台网部的职责任务;阐述仪器设备运行监控、观测数据质量监控的方式与方法;总结在仪器设备、技术系统维护过程中解决的一些关键技术问题;最后提出了关于仪器和软件系统的一些问题与建议。     

临汾台摆式倾斜仪平行观测的差异性特征及其观测布局建议

根据临汾地震台石英摆、垂直摆、宽带垂直摆3套摆式倾斜仪器的观测资料,对山西中南部几次中等地震进行分析,发现在地震前各仪器同测向曲线有一定的异常反映,但异常并非呈相关一致性变化,有的还表现出明显的差异性特征;在同一台址条件下,异常的差异性与仪器的工作周期、动态响应范围、记录频段等有关;河津地震前后宽带垂直摆倾斜仪记录到的连续阶跃扰动(错位掉格)可能是慢地震现象,由此说明了宽频段仪器的优越性及发展性;建议在形变台网观测中,同一台站应建立宽频或多种同类型的形变观测仪器,组成尽量具有低、中、高频段的全面观测系统,这可能对于扑捉近震的短临前兆异常有实效意义.     

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Crest-height distribution of nonlinear random waves

The wave crest is an important factor for the design of both fixed and floating marine structures. Wave crest height is a dominant parameter in assessing the likelihood of wave-in-deck impact and resultant severe damage. Many empirical and theoretical distribution functions for wave crest heights have been proposed, but there is a lack of agreement between them. It is of significance to develop a better new nonlinear wave crest height distribution model. The progress in the research of wave crest heights is reviewed in this paper. Based on Stokes’ wave theory, an approximate nonlinear wave crest-height distribution formula with simple parameters is derived. Two sets of measured data are presented and compared with various theoretical distributions of wave crests obtained from nonlinear wave models and analysis of the comparison is given in detail. The new crest-height distribution model agrees well with observations. Also, the new theoretical distribution is more accurate than the other methods cited in this paper and has a greater range of applications.     

Community structure and seasonal variation of soil arthropods in the forest-steppe ecotone of the mountainous region in Northern Hebei,China

Soil fauna have been receiving more and more attention because they play an important role in nutrient cycling. However, there is a lack of information on soil arthropods in the forest-steppe ecotone in the mountainous region of northern Hebei, which makes it difficult to meet the need of protecting biodiversity in this area. Soil arthropod communities were investigated in the forest-steppe ecotone in northern Hebei province to provide basic information on changes in mountain soil fertility, which could promote the development of soil arthropod communities in mountain ecotones. From the preliminary identification, a total of 7994 individual soil arthropods were collected, which belonged to 25 groups, 6 classes and 24 orders. Acarina, Hymenoptera and Collembola were the dominant groups in the ecotone. The number of Acarina was higher than Collembola, and this phenomenon was obviously different from other areas in the same climate zone. The increased abundance of rare groups in the Forest zone with the richer vegetation, higher arthropod abundance and more substantial litter depth, could be interpreted as a reaction to the suitable soil environment and food supply. And these rare groups were sensitive to environmental changes, which could be regarded as biotic indicators for evaluating soil quality. The analysis of community diversity showed that the abundance index (d), the Shannon-Wiener index (H′), the evenness index (J) and the density-group index (DG) were significantly higher in the forest zone, lower in the forest-steppe zone, and lowest in the meadow-steppe zone. Seasonal variations in community composition correlated with changes in average air temperature and precipitation in this ecotone. Groups and individuals of soil arthropod communities in the three zones were present in greater numbers in the middle of the rainy season than in the early or late periods of the rainy season as a whole. At the same time, seasonal changes in soil arthropod communities from different plots were also influenced by habitat condition.     

Joint interferometric imaging of walkaway VSP data

In this paper, we image the subsurface reflectors by interferometric imaging using primary and downgoing first-order free-surface related multiple reflections in walkaway VSP data. By analyzing the stack fold distribution, we find that primary-direct interferometric imaging has a smaller image range, but its stack fold is higher near the well while ghost-direct interferometric imaging is the opposite. We try to solve this problem by the joint interferometric imaging of walkaway VSP data, combining primary-direct interferometric imaging with ghost-direct interferometric imaging. In this way, we can effectively widen the imaging range, simultaneously increase the fold (especially near the well), suppress spurious interference, and improve the image SNR, so that we can get a more credible image. Test results on synthetic walkaway VSP data and field data show that joint interferometric imaging is very effective.     

A method for absorption compensation based on adaptive molecular decomposition

In this paper, we present a new method for seismic stratigraphic absorption compensation based on the adaptive molecular decomposition. Using this method, we can remove most of the effects resulting from wavelets truncation and interference which usually exist in the common time-frequency absorption compensation method. Based on the assumption that the amplitude spectrum of the source wavelet is smooth, we first construct a set of adaptive Gabor frames based on the time-variant properties of the seismic signal to transform the signal into the time-frequency domain and then extract the slowly varying component (the wavelet’s time-varying amplitude spectrum) in each window in the time-frequency domain. Then we invert the absorption compensation filter parameters with an objective function defined using the correlation coefficients in each window to get the corresponding compensation filters. Finally, we use these filters to compensate the time-frequency spectrum in each window and then transform the time-frequency spectrum to the time domain to obtain the absorption-compensated signal. By using adaptive molecular decomposition, this method can adapt to isolated and overlapped seismic signals from the complex layers in the inhomogeneous viscoelastic medium. The viability of the method is verified by synthetic and real data sets.