The sudden disappearance of a dark filament observed on October 26, 1989

We present H monochromatic and spectroscopic observations of the sudden disappearance of a dark filament located near the center of the solar disk on October 26, 1989. The event was not associated with the flare activity. The dark filament first disintegrated into two loop-like components, and then each component successively showed ascending motion with a velocity greater than 30 km s^–1. Comparison of the H pictures taken before and after the start of this event suggests that the dark filament was originally composed of two magnetic flux loops.     

思林水电站通航建筑物高边坡稳定分析和评价

应用ANSYS结构分析软件,模拟了思林水电站通航建筑物高边坡的地形、地质条件以及开挖的过程,建立边坡开挖的有限元计算分析模型,分析边坡在自然状态、分级开挖以及锚杆支护加固等工况下的应力、变形及其整体稳定性.定义单元的局部安全系数,得到了边坡开挖加固后稳定安全系数的分布.根据计算成果,指出现设计加固措施可以保证边坡稳定,无需增加其他工程措施.     

应用ArcView辅助Creator生成三维地形

地形三维可视化一直以来是地理信息系统、数字摄影测量、虚拟现实等领域的研究热点。本文基于地形三维可视化的重要性和徐州龟山汉墓虚拟重建研究的需要,提出了应用ArcView辅助Creator生成三维地形的方法,以ArcView中生成的Raster专题层作为Creator生成三维地形的高程数据源,通过地形细节层次的创建、高程模型的投影变换、地形转换算法的选择和地形纹理的映射,生成了大面积精确地形,在龟山汉墓虚拟重建系统中取得了良好的实时显示效果。     

河流冰塞数值模拟进展

冰塞是高纬度地区河流凌汛的主要诱因.为防凌减灾,围绕着河冰问题的试验研究、原型观测和数值模拟,国内外学者展开了大量的研究.就数值模拟方面,综述了国内外学者在河冰一维、二维数值模拟方面的研究成果;重点描述了Shen的一维模型和模拟冰塞体溃决的二维模型及其在实际中的应用;在评述和分析各模型特点的基础上,尝试提出了今后的发展方向.     

平面约束条件在LIDAR点云滤波中的应用

介绍了一种利用平面约束条件对LIDAR点云数据进行滤波的方法,利用每个数据点的邻域点拟合平面,根据平面约束条件和平面点分类方法得到地面点,最后利用地面点内插该区域的DTM.     

山东三山岛金矿床流体包裹体特征及其地质意义

三山岛金矿床位于莱州市三山岛—仓上断裂带内,矿石主要为蚀变岩和含金石英脉2种类型。随着胶东金矿床研究的深入和三山岛金矿资源的不断减少,对三山岛金矿床的成矿作用及深部开发前景问题研究具有更重要的意义。针对上述问题,对三山岛金矿床2种类型矿石的成矿流体特征进行对比研究,认为代表成矿早—中期的蚀变岩型矿石形成于中温(均一温度为325～240℃)、低盐度(2.07%～6.88%)、低密度(0.720～0.868g/cm3)、酸碱性不均匀(pH=3.27～10.43)、以氟化物和氯化物为成矿物质载体的还原性流体;代表成矿中—晚期的含金石英脉型矿石形成于中—低温(均一温度为306～160℃)、低盐度(1.05%～9.73%)、低密度(0.739～0.962g/cm3)、碱性(pH=9.25～9.85)、以氯化物和硫化物为成矿物质载体的还原性流体。成矿流体性质的转变反映了成矿流体处于由比较封闭到比较开放的构造环境的转变期,且成矿流体早期以原生岩浆水为主,后期有变质水、大气降水以及海水的参与作用。三山岛金矿成矿深度为2.5～5km,根据目前的开采深度推算其深部还有一定的资源量可供开发。     

新疆南天山库车坳陷区东秋里塔格断褶带构造特征及新活动性

库车坳陷是南天山中段新构造运动异常强烈的地区,内部发育有四排近EW向展布的逆断裂-背斜带,由南天山山前向塔里木方向依次为:山麓逆断裂-背斜带;喀桑托开逆断裂-背斜带;秋里塔格逆断裂-背斜带和亚肯盲逆断裂-背斜带.东秋里塔格背斜属秋里塔格逆断裂-背斜带东段部分,其构造运动尤为强烈.研究表明:东秋里塔格背斜是浅部滑脱面与其南翼逆冲断层共同形成的断层传播-滑脱混生褶皱,背斜南翼的浅层逆冲断层和深层的断坡构造是重要孕震场所.东秋里塔格浅部背斜核部的背冲式断裂和北翼的膝折属于派生的次级构造,断裂的规模、错动量有限.东秋里塔格背斜南翼逆断层最新活动错断Ⅱ级阶地砾石层,其活动年代至少为全新世早期,这次错动在地表留有3～4 km长的古地震破裂形迹,说明断裂具粘滑运动特征.     

Distribution of Palygorskite in the Lingtai Profile of Chinese Loess Plateau: Its Paleoclimatic Implications

Palygorskite is a typical indicator mineral of the arid and strong evaporation environment. Distribution of palygorskite in loess-red clay sequences may act as an important indicator for reconstruction of the paleoenvironment and paleoclimate. In this paper, field emission scanning electron microscope and high-resolution transmission electron microscope observations on the red clay-loess-paleosol of the Renjiapo profile at Lingtai, Gansu Province indicate that palygorskite occurs widely in red clay sequences formed before 3.6 Ma, but no occurrence has been found in eolian sediments since 3.2 Ma. Micromorphological features and microstructure of palygorskite show that it is an autogenic mineral formed during pedogenesis, and transformed from iilite-montmorilionite under the pore water action. In the Lingtai profile, the disappearance horizon of palygorskite is consistent with those of increasing magnetic susceptibility, dust flux and depositional rate. The distribution of palygorskite in the profile indicates that the interval of around 3.6 Ma was an important transformation period of the East Asian paleomonsoon, when changes took place in the East Asia paleoclimate pattern, i.e. a high-frequency strong fluctuation alternative evolution of the environment. Therefore, palygorskite is a key indicator mineral of the East Asian paleomonsoon evolution of that time.     

苏锡常地区地面沉降风险评价管理模型研究初探

平原区超采地下水引发的地面沉降地质灾害已成为影响这些地区经济可持续发展的重要制约因素,如何从收益、成本、风险三个方面为决策者提供制定地面沉降相关防治措施的综合支持,实现灾害防治从被动应对向主动防御转变,是地面沉降防治研究领域的新课题。在综合考虑苏锡常地区技术、经济、人类活动等因素基础上,从地面沉降总体风险和地区差异水平出发,提出构建地面沉降风险评价模型及决策支持系统的初步研究思路和方法,为实现地面沉降防治的科学化决策管理进行了探索。     

Automated Target Detection and Discrimination Using Constrained Kurtosis Maximization

Exploiting hyperspectral imagery without prior information is a challenge. Under this circumstance, unsupervised target detection becomes an anomaly detection problem. We propose an effective algorithm for target detection and discrimination based on the normalized fourth central moment named kurtosis, which can measure the flatness of a distribution. Small targets in hyperspectral imagery contribute to the tail of a distribution, thus making it heavier. The Gaussian distribution is completely determined by the first two order statistics and has zero kurtosis. Consequently, kurtosis measures the deviation of a distribution from the background and is suitable for anomaly/target detection. When imposing appropriate inequality constraints on the kurtosis to be maximized, the resulting constrained kurtosis maximization (CKM) algorithm will be able to quickly detect small targets with several projections. Compared to the widely used unconstrained kurtosis maximization algorithm, i.e., fast independent component analysis, the CKM algorithm may detect small targets with fewer projections and yield a slightly higher detection rate.