Landsat7 ETM＋影像的融合和自动分类研究

利用SFIM、MLT、HPF和修改的Brovey(MB)等遥感影像融合算法对Landsat 7 ETM 影像进行融合和自动分类研究，并就融合影像的光谱保真度、高频空间信息融人度和分类精度对这些方法进行评价。结果表明SFIM变换几乎完全保持了原始影像的光谱特点，并具有最高的平均分类精度；MB变换具有最高的高频空间信息融人度；MLT变换也具有较高的分类精度；只有HPF变换的各项指标都不突出。所有4种融合影像的分类精度都较原始影像的分类精度有明显的提高。这表明，源于同一传感器系统的不同分辨率影像的融合可以避免异源传感器融合影像所常见的各种参数、时相和配准误差，所以能够明显地提高影像的自动分类精度。     

新疆十红滩砂岩型铀矿床基本特征及成因分析

新疆十红滩铀矿床是中国近年发现的层间氧化带型砂岩铀矿床。该矿床位于吐鲁番—哈密盆地西南部的艾丁湖斜坡带西侧,赋矿地层为中侏罗统西山窑组辫状河—曲流河相的含煤碎屑岩系;矿体严格受发育于河道砂体中的层间氧化带前锋线控制,矿体形态呈卷状或板状;含矿岩石主要为灰—深灰色疏松和次疏松细—粗粒长石石英砂岩,铀主要以吸附形式存在;全岩Pb同位素测定的主成矿年龄为24 Ma。研究认为:晚侏罗世后,持续干热气候条件下,层间氧化带的充分发育,高含氧水在富铀地层砂体中持续向前运移,在富还原剂地球化学障形成铀沉淀富集,是该铀矿床的成因。     

武山铜矿北矿带黄铁矿的成因矿物学研究

武山铜矿是长江中下游铁、金成矿带一个重要组成部分，通过对武山铜矿北矿带的成因矿物学研究，可将其划分为沉积成因系列与热液成因系列两大类，从而进一步证明武山铜矿北矿带为在正常沉积基础上，由燕山期岩浆热液叠加改造的层控矿床。     

也论成都粘土的成因

为了解成都粘土的成因机制，在总结前人资料的基础上，从分析成都粘土的分布、结构、矿物组成等特征入手，客观地展示了成都粘 本质，进而将其与我国北方的马兰黄土和长江中下游的下蜀粘土之间的特性进行比较以及对龙门山和成都平原第四纪晚更新世的古环境的分析，最终得出典型的成都粘土的成因是属于风成“黄土”的结论。     

海南岛农业地貌

本文在充分消化前人已有资料的基础上,论述了海南岛的主要地貌类型与地貌轮廓,阐明了海南岛地貌形成的条件与过程、地貌对农业生产的影响及农业地貌分区。     

Multi‐objective optimal design of FLC driven hybrid mass damper for seismically excited structures

Structural vibration control using active or passive control strategy is a viable technology for enhancing structural functionality and safety against natural hazards such as strong earthquakes and high wind gusts. Both the active and passive control systems have their limitations. The passive control system has limited capability to control the structural response whereas the active control system depends on external power. The power requirement for active control of civil engineering structures is usually quite high. Thus, a hybrid control system is a viable solution to alleviate some of the limitations. In this paper a multi‐objective optimal design of a hybrid control system for seismically excited building structures has been proposed. A tuned mass damper (TMD) and an active mass driver (AMD) have been used as the passive and active control components of the hybrid control system, respectively. A fuzzy logic controller (FLC) has been used to drive the AMD as the FLC has inherent robustness and ability to handle the non‐linearities and uncertainties. The genetic algorithm has been used for the optimization of the control system. Peak acceleration and displacement responses non‐dimensionalized with respect to the uncontrolled peak acceleration and displacement responses, respectively, have been used as the two objectives of the multi‐objective optimization problem. The proposed design approach for an optimum hybrid mass damper (HMD) system, driven by FLC has been demonstrated with the help of a numerical example. It is shown that the optimum values of the design parameters of the hybrid control system can be determined without specifying the modes to be controlled. The proposed FLC driven HMD has been found to be very effective for vibration control of seismically excited buildings in comparison with the available results for the same example structure but with a different optimal absorber. Copyright © 2002 John Wiley & Sons, Ltd.     

A recursive decomposition algorithm for network seismic reliability evaluation

A new probabilistic analytical approach to evaluate seismic system reliability of large lifeline systems is presented in this paper. The algorithm takes the shortest path from the source to the terminal of a node weight or edge weight network as decomposition policy, using the Boolean laws of set operation and probabilistic operation principal, a recursive decomposition process then could be constructed. For a general weight network, the modified Torrieri method (NTR/T method) is introduced to combine with the suggested algorithm. Therefore, the recursive decomposition algorithm may be applied to evaluate the seismic reliability of general lifeline systems. A series of case studies, including a practical district electric power network system and a large urban water supply system, show that the suggested algorithm supplies a useful probabilistic analysis means for the seismic reliability evaluation of large lifeline systems. Copyright © 2002 John Wiley & Sons, Ltd.     

应用CP网络进行岩性识别

为通过测井解决岩性识别问题，引入了具有分类准确、算法简练等优点的CP（Counter-Propagation)网络。在详细介绍CP网络的网络模型和算法的基础上，结合某油田的实际测井资料，进行了CP网络识别研究。应用结果表明：CP网络训练周期短、识别准确率高、不存在收敛问题。通过试验研究得出结论：CP网络完全可以用于解决岩性识别等问题，具有广阔的应用前景。     

柴达木北缘中生代盆地的成因类型及构造沉积演化

柴达木盆地是我国西部一个大型中新生代陆相含油气盆地。其剖面结构、构造样式、沉积特征、基底沉降、古地温等表明中生代盆地的性质应为挤压环境下经过多次幕式逆冲形成的、也祁连造山带有关的叠置前陆盆地，经历了早株罗世的破裂前陆盆地和中株罗世之后的类前陆盆地的演化过程。柴达缘中生代沉积充填由构造层序I（早株罗世）、构造层序Ⅱ（中侏罗世）和构造层序Ⅲ（晚侏罗世）三个完整的构造层序构成，由粗到细多个沉积旋回代表了逆冲加载过程中由活动期到平静期的转化过程。随着逆冲活动的加强和频率加快，构造层序Ⅳ（白垩纪）只经历逆冲活动期，是不完整的构造层序，发育补偿和过补偿沉积，盆地逐渐萎缩。     

遗传算法在边坡数值计算中的应用

改进了进化方向的遗传算法与有限元数值法，结合并研制了相应的软件。应用该软件对多类型岩土边坡进行弹性模量、内聚力、内摩擦角等参数反演分析，显示误差很小，收敛速度也很快，这说明改进进化方向遗传算法这种新型的优化算法在多类型岩土参数优化估计中具有独特的优势。