室女团盘星系自转向量的分布Ⅰ.室女天区310个盘星系的表

为进一步研究室女星系团盘星系自转向量的分布,本文编制了该天区有UGC发表的方位角或直径数据的310个盘星系的表(81个S0系,229个S Irr系),其中有UGC发表的方位角的星系为245个(67个S0系,178个S Irr系)。对能证认身份的所有星系的星系云,群归属均已在表中注明。本文还讨论了表列星系的一些基本统计特征,为室女团盘系自转向量分布的研究提供了迄今为止可能是最大的,3组完整的代表性样品。     

Quasars in the central region of the Virgo Cluster

Quasars found from objective prism searches have been reported to show no association with galaxies in the Virgo Cluster. A simple analysis here shows significant association of the brightest of these quasars with core galaxies in the Virgo Cluster. Alexander von Humboldt Senior Scientist, awardee at the Max-Planck-Institut für Astrophysik, Garching, FRG.     

Declustering of Clustered Preferential Sampling for?Histogram and Semivariogram Inference

Measurements of attributes obtained more as a consequence of business ventures than sampling design frequently result in samplings that are preferential both in location and value, typically in the form of clusters along the pay. Preferential sampling requires preprocessing for the purpose of properly inferring characteristics of the parent population, such as the cumulative distribution and the semivariogram. Consideration of the distance to the nearest neighbor allows preparation of resampled sets that produce comparable results to those from previously proposed methods. A clustered sampling of size 140, taken from an exhaustive sampling, is employed to illustrate this approach.     

Hierarchical probabilistic regionalization of volcanism for Sengan region,Japan

A 1 km square regular grid system created on the Universal Transverse Mercator zone 54 projected coordinate system is used to work with volcanism related data for Sengan region. The following geologic variables were determined as the most important for identifying volcanism: geothermal gradient, groundwater temperature, heat discharge, groundwater pH value, presence of volcanic rocks and presence of hydrothermal alteration. Data available for each of these important geologic variables were used to perform directional variogram modeling and kriging to estimate geologic variable vectors at each of the 23949 centers of the chosen 1 km cell grid system. Cluster analysis was performed on the 23949 complete variable vectors to classify each center of 1 km cell into one of five different statistically homogeneous groups with respect to potential volcanism spanning from lowest possible volcanism to highest possible volcanism with increasing group number. A discriminant analysis incorporating Bayes’ theorem was performed to construct maps showing the probability of group membership for each of the volcanism groups. The said maps showed good comparisons with the recorded locations of volcanism within the Sengan region. No volcanic data were found to exist in the group 1 region. The high probability areas within group 1 have the chance of being the no volcanism region. Entropy of classification is calculated to assess the uncertainty of the allocation process of each 1 km cell center location based on the calculated probabilities. The recorded volcanism data are also plotted on the entropy map to examine the uncertainty level of the estimations at the locations where volcanism exists. The volcanic data cell locations that are in the high volcanism regions (groups 4 and 5) showed relatively low mapping estimation uncertainty. On the other hand, the volcanic data cell locations that are in the low volcanism region (group 2) showed relatively high mapping estimation uncertainty. The volcanic data cell locations that are in the medium volcanism region (group 3) showed relatively moderate mapping estimation uncertainty. Areas of high uncertainty provide locations where additional site characterization resources can be spent most effectively. The new data collected can be added to the existing database to perform future regionalized mapping and reduce the uncertainty level of the existing estimations.     

Primordial substructure in the Orion Nebula Cluster

We use numerical N -body simulations of the Orion Nebula Cluster (ONC) to investigate the possibility of substructure in its formation. There is no substructure apparent in the ONC today. However, unless there was a remarkable degree of homogeneity in the molecular cloud from which it formed, it seems unlikely that this would have been true of the cluster in its earliest phase. More plausibly, the early structure of the cluster would have consisted of groups or clumps of subclusters, following the structure of the cloud itself. We have explored the extent to which such subclusters could subsequently have merged, and find that the age of the cluster is a critical factor. The most inhomogeneous initial conditions, comprising a small number of subclusters with many members, are ruled out by an age of 2 Myr or less. There is a considerable amount of freedom in the other direction, however, which suggests that fragmentation in the original cloud is more likely to have been on the scale of small clumps, each producing fewer than 100 stars. These initial subclusters could have been very dense – perhaps two or three orders of magnitude more dense than the core of the ONC today.     

一组RegCM4动力降尺度对中国群发性高温事件的模拟评估

基于高分辨率格点数据集CN05.1和区域气候模式RegCM4对4个全球气候模式动力降尺度模拟（CdR、EdR、HdR、MdR）,识别了观测和模拟的1981—2005年中国群发性高温事件（CHTE）。在此基础上,评估了模式对中国CHTE的模拟能力。结果表明：4个动力降尺度模拟以及多模式集合（MME）均能很好地模拟出中国CHTE频次、持续时间和累计强度的空间分布。不过,HdR模拟的CHTE发生次数在新疆地区略偏少,而其他3个模拟试验的CHTE次数在中国东南部略偏多。观测中CHTE持续时间、极端强度、累计强度、最大影响面积、平均影响面积、综合强度等的频率分布规律均能被合理再现。MME也能很好模拟观测揭示的CHTE综合强度以及频次、持续时间、强度、影响面积等单项指标的上升趋势。单模式成员亦可再现大多数指标的上升趋势,但也存在一定不足,如EdR模拟的CHTE综合强度呈减弱趋势,MdR模拟的CHTE频次和极端强度呈弱的下降趋势。     

Early warning system for shallow landslides using rainfall threshold and slope stability analysis

A combined cluster and regression analysis were performed for the first time to identify rainfall threshold that triggers landslide events in Amboori, Kerala, India. Amboori is a tropical area that is highly vulnerable to landslides. The 2, 3, and 5-day antecedent rainfall data versus daily rainfall was clustered to identify a cluster of critical events that could potentially trigger landslides. Further, the cluster of critical events was utilized for regression analysis to develop the threshold equations. The 5-day antecedent (x-variable) vs. daily rainfall (y-variable) provided the best fit to the data with a threshold equation of y = 80.7–0.1981x. The intercept of the equation indicates that if the 5-day antecedent rainfall is zero, the minimum daily rainfall needed to trigger the landslide in the Amboori region would be 80.7 mm. The negative coefficient of the antecedent rainfall indicates that when the cumulative antecedent rainfall increases, the amount of daily rainfall required to trigger monsoon landslide decreases. The coefficient value indicates that the contribution of the 5-day antecedent rainfall is ∼20% to the landslide trigger threshold. The slope stability analysis carried out for the area, using Probabilistic Infinite Slope Analysis Model (PISA-m), was utilized to identify the areas vulnerable to landslide in the region. The locations in the area where past landslides have occurred demonstrate lower Factors of Safety (FS) in the slope stability analysis. Thus, rainfall threshold analysis together with the FS values from slope stability can be suitable for developing a simple, cost-effective, and comprehensive early-warning system for shallow landslides in Amboori and similar regions.     

2005年汉中市秋季连阴雨的若干特征

利用常规观测资料,对2005年8月15日～16日山西省忻州市局部及中南部分地区强暴雨云团发生发展条件进行了诊断分析。结果表明,稳定少动的副高北侧大尺度冷湿云带前沿易产生中低涡,中低层Q向量辐合使局地次级环流加强,有利于不稳定能量聚积,形成中尺度能量系统,为对流云团发生发展奠定了基础;ST与K指数强度变化伴随强对流云团发生发展过程,并具有明显的中尺度特征及先兆作用;中低层冷湿气流的入侵是触发不稳定能量释放的重要条件。