方差体技术在地震勘探中的应用

三维地震数据体反映了地下一个规则网格的反射情况。当遇到地下有断层或某个局部区域地层不连续变化时，一些地震道的反射特征就会与附近地震道出现差异而导致地震首局部的不连续性。三维方差体技术就是求取三维数据体所有样点的方差值来反映这种不连续性信息。通过该技术在济宁2号井某采区的实际应用，可看出，方差体技术在三维地震信息的自动拾取以及提高地震资料解释成果精度等方面有明显优势，对断层、陷落柱有良好的自动识别能力。     

基于不确定性分析框架的动态环状河网水质模型——以温州市温瑞塘河为例

以温州市温瑞塘河为背景,基于不确定性分析的框架,开发了动态环状河网水质模型。用HSY(Hornberger,Spear and Young)算法作水质参数的不确定性分析,求得模型参数的空间分布,从而提高模型使用的可靠性、降低决策的风险度。模型由水量子模型及水质子模型两部分组成:水量子模型采用圣维南方程并用四级解法求解;水质子模型采用CSTR(Continuously Stirred Tank Reactor)模型的机理,并结合环状河网特征作了修正,由于只需解常微分方程,因而避免了矩阵求解,显著提高了计算效率,使得用HSY算法进行不确定性分析成为可能。模型选取温州市温瑞塘河流域的鹿城区河网进行了首次应用,用HSY算法率定水质参数并讨论了参数的不确定性。对参数率定结果进行验证,结果比较理想。最后简要讨论了参数不确定性传递。     

基于DEM的地形简化方法对比分析

地形简化作为一门重要的数据压缩技术已广泛应用于DEM。在大量简化算法中，地形简化指标作为地形简化的核心环节，其好坏直接关系到地形简化的好坏。本文对基于局部误差、曲率和法向量的五个地形简化指标进行了分析评价，用离散的高斯合成曲面来模拟真实DEM，以解析得到的高斯曲率作为地形简化指标“真值”，对比研究了在离散高斯曲面上得到的五个简化指标与解析所得“真值”，通过对各个指标“保特征性”可信度的分析，获得了对这五个指标的整体评价，最后，实例验证了本文结论的正确性。     

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.