湘西钨锑金矿床成矿系列及其稳定同位素研究

湘西钨锑金矿床成矿系列泛指湖南沉陵-益阳-带、受雪峰弧形构造及其延伸部位控制的金矿成矿带,是湖南省重要的金矿成矿系列之一。系列中不同矿种的共（伴）生组合的矿床同属变质热液成因,其形成在很大程度上取决于赋矿围岩中成矿元素的丰度及其分布形式。对该成矿系列的研究和总结将会有助于开展进一步的地质找矿和成矿预测。     

浅析吉林省大横路钴铜矿床成矿条件

吉林省大横路钴铜矿床赋存于辽吉旱元古宙裂谷中段,老岭背斜的南翼,具体层位为老岭群大栗子组的中部岩性段。属于一套浅变质岩系。该岩系由于受构造作用影响产生了明显的断裂和褶皱。特别是褶皱核部及转折端,是矿体聚集的重要空间,矿体形态产状与褶皱形态基本一致。     

Combined particle swarm optimization and linear discriminant analysis for landslide image classification: application to a case study in Taiwan

In Taiwan many reservoirs are constructed in mountain areas. Unfortunately, several earthquakes shook the soil, and typhoons brought a huge amount of water to the reservoir zone. In the past studies, remote-sensing image data were used to effectively monitor the landslide near reservoirs. In recent years, linear discriminant analysis (LDA) has become a well-known method for image classification. However, there are few studies to optimize the linear classification function. While the ancillary information has been adopted easily by new methodologies, the ancillary information must be examined by a landslide image classification system. To explore the effects of optimization on the LDA equations, three approaches were compared: (a) conventional LDA; (b) combined discrete rough sets and LDA (DRS + LDA), which identify the core factors and the corresponding thresholds of landslide occurrence; and (c) combined particle swam optimization algorithm and LDA (PSO + LDA), which optimizes the parameters of LDA equation to attain the best classification outcomes. The above methods were applied to a reservoir region in Taiwan, and the following classification results were obtained. The application of DRS + LDA in our case study reduced the number of ancillary attributes from 14 to 5, and resulted in an accuracy rate of 0.83. On the other hand, the application of PSO + LDA resulted in the same accuracy rate as that of DRS + LDA, whereas the accuracy rate of conventional LDA was found to be 0.78.     

Petroleum system analysis of the Khatatba Formation in the Shoushan Basin,north Western Desert,Egypt

The Middle Jurassic Khatatba Formation is an attractive petroleum exploration target in the Shoushan Basin, north Western Desert, Egypt. However, the Khatatba petroleum system with its essential elements and processes has not been assigned yet. This study throws the lights on the complete Khatatba petroleum system in the Shoushan Basin which has been evaluated and collectively named the Khatatba-Khatatba (!) petroleum system. To evaluate the remaining hydrocarbon potential of the Khatatba system, its essential elements were studied, in order to determine the timing of hydrocarbon generation, migration and accumulation. Systematic analysis of the petroleum system of the Khatatba Formation has identified that coaly shales and organic-rich shales are the most important source rocks. These sediments are characterised by high total organic matter content and have good to excellent hydrocarbon generative potential. Kerogen is predominantly types II–III with type III kerogen. The Khatatba source rocks are mature and, at the present time, are within the peak of the oil window with vitrinite reflectance values in the range of 0.81 to 1.08 % Ro. The remaining hydrocarbon potential is anticipated to exist mainly in stratigraphic traps in the Khatatba sandstones which are characterised by fine to coarse grain size, moderate to well sorted. It has good quality reservoir with relatively high porosity and permeability values ranging from 1 to 17 % and 0.05–1,000 mD, respectively. Modelling results indicated that hydrocarbon generation from the Khatatba source rocks began in the Late Cretaceous time and peak of hydrocarbon generation occurred during the end Tertiary time (Neogene). Hydrocarbon primarily migrated from the source rock via fractured pathways created by abnormally high pore pressures resulting from hydrocarbon generation. Hydrocarbon secondarily migrated from active Khatatba source rocks to traps side via vertical migration pathways through faults resulting from Tertiary tectonics during period from end Oligocene to Middle Miocene times.     

地震动力分析的经典方法与现代计算技术

回顾了体系地震动力分析的历史过程，并对地震动力分析的传统理论方法、近似方法和现代计算技术从新的角度加以阐述，同时给出体系地震动力分析的应用前景，以促进经典的传统理论方法、近似方法和现代计算技术的综合和在实际工程中的应用，形成系统而完整的地震动力分析体系。     

Simulation of coupled pelagic-benthic ecosystem of the Yellow Sea Cold Water Mass

A one-dimensional coupled pelagic-benthic box model for the Yellow Sea Cold Water Mass （YSCWM） is developed. The model is divided into three boxes vertically according to the depths of thermocline and euphotic layer. It simulates well the oligotrophic shelf ecosystem of the YSCWM considering effects of nutrients deposition and microbial loop. Main features of vertical structure of various variables in ecosystem of the YSCWM were captured and seasonal variability of the ecosystem was well reconstructed. Calculation shows that the contribution of microbial loop to the zooplankton can reach up to 60%. Besides, input of inorganic nutrients from atmospheric deposition is an important mechanism of production in upper layer of the YSCWM when stratified.     

加卸载响应比与震前应力积累模式研究

加卸载响应比是一种中短期地震预测方法.按照该方法,通常在大地震发生之前加卸载响应比时间序列会出现明显的异常高值.早先的研究发现,震前临界区域的选择对加卸载响应比的计算有很大影响.我们发展了一种使用震前应力积累区域取代传统圆形区域计算加卸载响应比的算法,提高了加卸载响应比的地震预测能力,其震前库仑应力场分布采用地震断层位错模型将同震滑移量反向滑移的方法计算.美国南加州近20年来发生的4次M6.5地震以及2008年中国汶川MS8.0地震的研究事实表明,使用库仑应力算法得到的加卸载响应比时间序列,前兆变化相对于圆形区域算法更为明显,且对目标地震的位置、震级预测更为明确.库仑应力算法的这一独特性质,使我们可以针对不同地区的活动构造特征对未来地震发生的地点和大小提供信息和约束.     

一维边缘检测算子的递归算法

本文对边缘检测理论和算法作了理论和实验方面的深入研究，选用Ｄｅｒｉｃｈｅ依据Ｃａｎｎｙ设计思想导出的边缘检测算子，证明了递归算法代数卷积算法实现边缘检测的基本原理，导出了几种算子逆归算法的实用公式，实验证明递归算法比卷积算法实现边缘提取在速度方面有着明显的提高，为一维影匹配中数字影像特征提取提供了快速而实用的边缘检测方法。     

南海热带气旋数值预报模式与全球谱模式的嵌套试验

分析了各嵌套变量的作用和效果，发现采用部分变量嵌套就能取得一定效果，各变量的作用也不完全相同。这样，可以选取作用大，质量好，易处理的变量进行嵌套。并相应地提出了一个边界嵌套处理方案，应用于南海带热带气旋数值预报有限区模式（ＴＬ１０）与全球谐模式（Ｔ６３）的嵌套过程，通过数值预报试验，表明采用该嵌套处理方案能够取得良好的效果。     

四川彭县白水河地区蛇纹岩的地质特征

研究区的蛇纹岩以构造就位的方式就位于具岛弧环境的白水河群变质岩系之中，其常量元素和微量元素地球化学特征表明，其原岩成分相当于蛇绿岩层序底部的变质橄榄岩，是地幔的残余。它是在岛弧与扬子古陆相互碰撞过程中形成的。