Discrimination of sedimentary facies by association analysis

The ability of association analysis to discriminate sedimentary facies was tested on Purdy's modal analyses of modern sediments of the Great Bahama Bank. Purdy's data set has served in the past as a standard reference for evaluating various multivariate classification algorithms. In order to adapt Purdy's data to association analysis, the percent abundance of the 12 constituents was converted to binary form by dichotomizing each variable on its mean value. The results obtained by association analysis are virtually identical to those obtained by Purdy and other authors. The same four main sedimentary facies were discriminated; 86% of the samples were identically classified (97% when misclassified borderline cases are counted as matches); the total partition variance of the classification is only negligibly greater (4%); and the grouping of the variables yielded the same four groups. The rank order of the three division-attributes responsible for the sample classification is fines, oolites, and corals. Association analysis has been employed by other authors to differentiate meaningful facies groups in studies of ancient reef carbonates, modern reef sediments, and heavy minerals in stream sediments. In all these studies, the results were found to be compatible with those obtained by using the continuous quantitative measurements, indicating that qualitative binary data may often be sufficient for the purpose of facies discrimination in many branches of geology and that association analysis is an effective method for this purpose.     

Report on Pontoniinae shrimps （Crustacea：Decapoda）collected by Joint Chinese—German Marine Biology Expeditions to Hainan lsland ,South China Sea：Ⅱ.Harpiliopsis,Ischnopontonia,Jocaste,Palae—mone

The present paper reports 9 species of pontoniine shrimps collected from Hainan IS-land ,South China Sea ,by the Joint Chinese-German Marine Biology Expeditions,in which Peri-climenaeus arabicus (Calman,1939) and Periclimenaeus hecate (Nobili,1904) are recorded for the first time from Hainan Island.     

标志沉积层磁组构特征及其古环境意义研究

通过对长江三角洲及其邻近区域埋藏古土壤、潮坪、长江下游河道浸滩、舟山滨岸风成沙丘、南京黄土古土壤序列沉积体的磁组构测量统计分析，取得了各自的标志特征。该２特征揭示出，舟山滨岸风成沙丘与南京黄土吉土壤序列沉积的搬运介质能量位相基本一致，其物源来向却显示出巨大差异；上述两类沉积体与上述现今潮坪、河道漫滩沉积体地搬运介质能量位相及物源来向均显示出绝然不同的标志特征。然而浸滩物源来民南京黄土的物尖兵为向却     

基于MSA特征的遥感图像多目标关联算法

遥感图像中多目标关联存在以下两个问题:一是低时间分辨率观测使得目标状态信息无法准确估计,基于Kalman滤波的多目标关联算法不再适用;二是基于图像特征的目标关联算法又无法处理大场景观测中多个目标关联引起的模糊性.针对上述问题,提出一种基于多尺度自卷积特征匹配和关联代价矩阵最优化的多目标关联算法.实验表明该算法对遥感图像中多目标关联问题具有一定的适用性.     

鄂尔多斯坳陷湖盆缓坡型三角洲前缘沉积微相分带及成因分析——以定边-安边地区延长组长6油组为例

运用沉积相分析理论对鄂尔多斯盆地定边-安边地区晚三叠世延长组坳陷湖盆缓坡型三角洲前缘沉积微相组合进行系统研究,共识别出其组合形式有:水下分流河道叠加组合、河口坝叠加组合、水下分流河道与河口坝叠加组合以及河口坝与远砂坝、席状砂的叠加组合等4大类9种类型。并深入研究三角洲前缘沉积微相组合的时空分布规律,以三角洲前缘坡折带为界,将三角洲前缘分为"台型前缘"、"坡型前缘"和"盆型前缘"三部分,各部分有独特的沉积微相组合形式。高分辨率层序地层学的基准面旋回原理和沉积物体积分配原理表明:短期基准面的规律性变化影响着储层砂体的成因类型、叠加组合形式和空间分布规律,据此建立坳陷湖盆三角洲前缘不同沉积微相组合的成因分布模式。     

GIS空间关联规则挖掘研究

提取不同对象或现象间相互联系的空间规律,发现、解释或预测空间现象或事件,是GIS空间关联规则挖掘价值的体现。通过对目前的空间关联规则挖掘理论和实例的研究,分析了挖掘过程涉及到的基本问题：挖掘实施的基本步骤、开发路线、挖掘有效性的保证,挖掘方法及优化策略等,得到了实用的挖掘的一般方法,也对挖掘的应用实例进行了分析,展望了应用前景。     

夹层厚度对瑞利面波频散曲线的影响

文章以弹性波横波速度为参数,利用瑞利面波频散曲线的快速标量传递算法进行正演模拟计算,系统研究软弱层厚度对瑞利面波基阶模频散曲线的影响,分析和总结了频率与相速度（f-c）、频率与波数（f-k）、深度与相速度（h-c）等瑞利面波基阶模曲线随软弱层厚度变化的规律。     

二三维联动的虚拟校园设计与实现

传统的2维地理信息系统技术成熟但缺乏3维可视化和分析的能力,而目前的3维地理信息系统发展可拥有3维可视化分析能力,然而还缺少2维地理信息系统的便捷。以二三维联动为开发思路的地理信息系统能够解决这对矛盾。本文基于二三维联动GIS的设计方案,以虚拟校园设计与实现为应用实例,利用ArcEngine（AE）实现二三维联动GIS系统的开发设计,对GIS系统的开发做出了一种新的、有益的尝试。