宁洱6.4级地震灾情信息特征分析

选取2007年宁洱6.4级地震发生后一周内政府收集和上报的灾情档案资料中的人员伤亡和财产损失两类主要信息为基础资料,对该次地震的灾情信息特征进行初步分析.结果表明:灾情信息来源的主体为县级政府部门,描述方式以定量为主.在地震发生后4h内以定性描述为主,4～12h期间定性描述与定量描述都有,12 h后以定量描述为主;单位时间内灾情信息获知和上报的数量随时间的推移先逐渐增加,到达峰值后逐渐减少,最后趋于平稳;从信息随时间变化情况来看,最先掌握死亡人员数量,接着是重伤人员数量,最后是受伤人员数量;与地震灾害直接经济损失评估结果比较,房屋损失信息更直接地反应本次地震损失.     

月面形貌的3维可视化算法

基于大范围地形可视化算法研究的基础上,对平面geometry clipmaps算法进行改进,利用GPU的顶点着色器实现平面地形向球面地形的投影变换,并综合利用球面视域裁剪、球面视点控制等技术,使geometry clipmaps算法适用于球面海量地形数据的3维可视化;收集处理月球全球影像和形貌高程数据,对算法进行验证,实现月球表面形貌的实时动态3维可视化.试验表明:绘制算法可不受数据量大小的限制、绘制效率高、效果逼真,但存在两极变形较大的缺点.

Abstract：

Based on the study of visualization arithmetic of large area terrain, plane geometry clipmaps algorithm is improved. Projection transformation from plane landform to sphere landform was realized by using GPU vertex shader. In that improved algorithm, methods such as sphere vision field culling and sphere viewpoint control are used.That makes geometry clipmops algorithm more effective in 3D visualization of massive sphere terrain data. The whole moon image and DEM data are collected and disposed, which are used to verify the capability of that algorithm, realizing dynamic and real time 3D visualization of moon surface. The experiments show that the graphic algorithm isn't limited by data quantity, which is of high efficiency and reality simulation, but the two-pole distortion is serious.     

The nonlinear time lag multivariable grey prediction model based on interval grey numbers and its application

Natural Hazards - The linear relationship of the original grey prediction model is too single, and the original grey prediction model does not consider the time delay of the effect of the current...     

基于图像或者视频的3维建模技术的研究

在现存的3维建模技术和方法中,本文针对利用图像或视频的3维建模技术进行了深入的研究,分析了利用图像或视频进行3维建模技术的原理和方法,归纳了该方法的建模特点和适应领域。     

在二调数据库中统计指定范围内地类面积的方法

全国第二次土地调查数据库利用以后,城市建设用地审批、大型的线状用地、土地复垦、矿山治理等工程的前期可研及预审工作等基本都以二调数据为基础数据。将正确的用地红线用ArcGis软件处理成面文件(.Shp),然后把处理后的.shp文件复制到二调数据库里的KCDJ层里。再使用农村土地调查专用软件导出各级用地面积汇总表。通过文中介绍的方法,可以实现快速、准确的制作指定范围的各种地类面积表。     

Volatile halocarbons released from Arctic macroalgae

Twenty-two different species of Arctic brown, red and green macroalgae, collected in the Kongsfjord at Ny-Ålesund (Spitsbergen), were incubated under polar conditions and investigated for their release of volatile halogenated organic compounds (VHOC). Bromoform, dibromomethane, dibromochloromethane, bromodichloromethane, 1,2-dibromoethane, diiodomethane and chloroiodomethane have been identified and their net releases during incubations were determined. Generally, brown and green macroalgae showed higher VHOC release, while red macroalage had only low release. Bromoform was released in relatively large quantities from all species studied, with the highest release observed from the brown algae Dictyosyphon foeniculaceus (0.3 μg g⁻¹ wet algal weight day⁻¹) and Laminaria saccharina (0.15 μg g⁻¹ wet algal weight day⁻¹), and from the green algae Monostroma arcticum (0.3 μg g⁻¹ wet algal weight day⁻¹) and Blidingia minima (0.27 μg g⁻¹ wet algal weight day⁻¹). Dibromomethane, diiodomethane, dibromochloromethane and 1,2-dibromoethane showed lower net release during the incubations. The net release of chloroiodomethane and bromodichloromethane was very low for the most algae species investigated. Based on the distribution of these algae in the Arctic environment, Dictyosiphon foeniculaceus and Laminaria saccharina may be important sources for VHOC because of high release and high biomass. Release of VHOC could be detected from all parts of the thallus of the macroalga. This may provide some evidence for a possible role of VHOC production as a chemical protection mechanism in algae.