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基于ACE的海量三维空间数据通信研究

三维可视化已成GIS发展的潮流,这必然会导致空间数据量的激增,通过集群系统和并行数据库系统可以很方便地解决海量数据的存储管理问题。但是,在海量环境下,一般数据库管理系统提供的查询接口,仍然难以满足实时三维场景可视化的速度需求。因此研究C/S模式下海量三维空间数据的高效调度成为三维GIS发展亟须突破的难点。在数据库服务器端和客户端之间加上应用服务器端,提供数据缓存、预调度等功能,减少服务器端磁盘I/O所带来的时间消耗,可以明显加速数据调度。本文系统分析了这种客户端/应用服务器端/数据服务器端模式下三维空间数据通信的难点和主要设计挑战,并针对三维GIS的数据访问特征,设计了一套能满足三维GIS实时调度的通信应用层协议。以ACE中前摄器框架为基础,结合线程池技术提出分层策略,搭建了海量三维空间数据的通信架构,它是一种面向对象的构架,可以方便地进行功能的定制和扩展。     

全球ITCZ的气候特征研究

热带辐合带(ITCZ)是大气环流的重要成员之一,它的活动与变化不仅对于热带天气,而且对于中纬度地区的旱涝以及全球大气环流的变化都有重大影响。ITCZ最初着重于用风场资料来研究,但由于海洋上测站稀少,往往难于精确地确定。但在这种热带辐合区内一般都伴有对流云雨的发展,所以卫星成为观测ITCZ的很好工具。利用早期卫星测得的云反射的亮度或平均云量研究ITCZ已有不少的工作。     

The characteristics of shear wave splitting in the source region of the April 20, 2013 Lushan earthquake

Using seismic data of the aftershocks sequence of the April 20, 2013 Lushan earthquake recorded by seismic temporary and permanent stations in the source region, with the visual inspection of particle motion diagrams, this paper preliminarily contains the polarization directions of fast shear wave and the time-delays of split shear waves at every station, and analyzes the crustal anisotropic characteristics in the source region. In the study area, the polarization direc- tions at stations BAX, TQU, L 132, L 133, L 134, and L 135 are northeast, which is consistent with the strike of Dachuan- Shuangshi fault. There are two polarization directions at MDS and L131, which are northeast and southeast. The scatter of polarization directions suggests the complex stress field around these two stations where two faults intersect. For the normalized time-delays at every station, the range is 1.02-8.64 ms/km. The largest time-delay is from L134 which is closest to the mainshock, and the smallest one is from L133. The variations in time-delays show the decreasing at stations BAX, L134, and L135 because of the stress-relaxation after earthquake.     

Basaltic and Solution Reference Materials for Iron,Copper and Zinc Isotope Measurements

Iron, Cu and Zn stable isotope systems are applied in constraining a variety of geochemical and environmental processes. Secondary reference materials have been developed by the Institute of Geology, Chinese Academy of Geological Sciences (CAGS), in collaboration with other participating laboratories, comprising three solutions (CAGS‐Fe, CAGS‐Cu and CAGS‐Zn) and one basalt (CAGS‐Basalt). These materials exhibit sufficient homogeneity and stability for application in Fe, Cu and Zn isotopic ratio determinations. Reference values were determined by inter‐laboratory analytical comparisons involving up to eight participating laboratories employing MC‐ICP‐MS techniques, based on the unweighted means of submitted results. Isotopic compositions are reported in per mil notation, based on reference materials IRMM‐014 for Fe, NIST SRM 976 for Cu and IRMM‐3702 for Zn. Respective reference values of CAGS‐Fe, CAGS‐Cu and CAGS‐Zn solutions are as follows: δ⁵⁶Fe = 0.83 ± 0.07 and δ⁵⁷Fe = 1.20 ± 0.13, δ⁶⁵Cu = 0.57 ± 0.06, and δ⁶⁶Zn = ?0.79 ± 0.12 and δ⁶⁸Zn = ?1.65 ± 0.24, respectively. Those of CAGS‐Basalt are δ⁵⁶Fe = 0.15 ± 0.07, δ⁵⁷Fe = 0.22 ± 0.10, δ⁶⁵Cu = 0.12 ± 0.08, δ⁶⁶Zn = 0.17 ± 0.13, and δ⁶⁸Zn = 0.34 ± 0.26 (2s).     

年尺度地震预测模型的国际研究现状

对未来1年内发生强震的预测在做好备灾应急准备和防震减灾工作上具有重要的现实需求.为反映近年来国际上关于1年尺度地震预测模型研究的进展,本文系统地整理了地震的统计概率预测模型、物理预测模型和混合预测模型,并从方法原理、预测效能评价、部署应用等角度进行了梳理.研究表明,目前国际上发展的1年尺度地震预测模型及其效能评价使用的参考模型的总体数量较少、建模原理主要基于G-R关系等统计学基本定律,显示该领域在基础理论架构、关键技术体系上并未足够成熟,这可能与相应的地震发生机理解释尚不完善、建立数理化的预测模型尚有困难等因素有关.     

城市微博数据驱动的群体疫情情感响应时空特征——以武汉市和石家庄市新冠疫情为例

研究城市大规模人群对疫情的情感响应时空特征,对于安抚人们情感状态以及优化防控措施具有重要意义。该文以带有地理标签的新浪微博数据为主要数据源,结合实地调查问卷,提出疫情场景下城市用户群体多维情感响应时空特征分析框架,该框架重点构建了城市用户群体对于疫情的多维情感强度的精确评估方法;在此基础上,分析疫情情感响应在时空维度上的变化特征,解析情感响应的显著影响因子。研究结果表明:1)该文提出的疫情情感响应评估方法,可准确量化疫情场景下城市群体多维情感响应强度;2)疫情防控期间政府采取的防控措施能够有效安抚城市群体愤怒、恐惧等负面情感;3)喜悦情感是疫情防控期间城市群体情感响应的主体情感;4)面对疫情再次发生,城市群体负面情感强度上升幅度会显著下降。该研究可为政府部门增强疫情情感监测能力、提升情感治理水平提供方法参考和决策依据。     

自然金—银类质同象系列矿物晶胞参数变化规律及其表述方程

本文提出了自然金-银类质同象系列矿物的晶胞参数与金、银原子数百分比成二次函数关系,推导出了表示二者之间函数关系的方程式。利用该方程式,可以用金原子数百分比计算出晶胞参数,反之亦然。并且从金、银二者的电负性出发,对a值的变化作了解释。     

Evaluation of the Madden–Julian oscillation in HiRAM

The aim of this study was to understand the cause of Madden–Julian oscillation (MJO) bias in the High Resolution Atmospheric Model (HiRAM) driven by observed SST through process-oriented diagnosis. Wavenumber-frequency power spectrum and composite analyses indicate that HiRAM underestimates the spectral amplitude over the MJO band and mainly produces non-propagating rather than eastward-propagating intraseasonal rainfall anomalies, as observed. Column-integrated moist static energy (MSE) budget analysis is conducted to understand the MJO propagation bias in the simulation. It is found that the bias is due to the lack of a zonally asymmetric distribution of the MSE tendency anomaly in respect to the MJO convective center, which is mainly attributable to the bias in vertical MSE advection and surface turbulent flux. Further analysis suggests that it is the unrealistic simulation of MJO vertical circulation anomalies in the upper troposphere as well as overestimation of the Rossby wave response that results in the bias.摘要本研究评估了高分辨率大气环流模式HiRAM模拟的MJO. 结果表明, HiRAM模拟的MJO东传很弱. 我们通过计算整层积分的湿静力能 (MSE) 收支来诊断MJO东传模拟偏差的原因. 结果发现, MSE倾向相对于MJO对流中心的纬向非对称分布很弱是导致东传模拟偏弱的原因, 这主要是由MSE垂直平流和地表湍流通量的模拟偏差造成的. 进一步研究表明, 对流层上层MJO垂直环流结构的模拟偏差和MJO对流西侧的Rossby波环流偏强共同导致了模式的偏差. 本研究中指出的MJO传播模拟偏差的原因与之前基于多模式结果的结论不同, 这意味着要想了解特定模式的模拟偏差, 有必要对该模式进行具体分析.