基于知识与规则的城市管线数据计算机监理校验

本文通过对城市管线数据的分析与处理，得到对城市管线数据进行计算机监理校验的知识与规则，并利用这些知识与规则进行综合的城市管线数据校验。     

地下水管理模型研究进展

本文在分析和总结前人研究成果的基础上,将地下水管理模型的研究过程划分为两大阶段:模型理论探索到推广应用阶段(1970~1990年)和模型实用性研究阶段(1990年至今)。在对各阶段的研究内容以及存在问题等进行概述的基础上,指出建立地下水资源管理的多目标动态规划模型将是未来地下水管理模型的发展方向和趋势,但需要采用更为先进的优化算法对其进行求解,同时对地下水管理模型与GIS技术的集成进行了展望。     

中国智力资源空间分布及其影响因素研究

现代社会已步入知识经济时代。知识经济显著特点就在于信息、知识等各种类型的智力资源取代工业经济的资本上升成为新的、决定性的终极资源和核心生产要素。在研究智力资源涵义的基础上，选取了投入、产出、环境支持、智力资源4个系统30个不同指标，运用数理统计方法中的因子分析来定量研究中国智力资源空间分布特点，从而进一步分析出影响中国智力资源的空间分布的4个主要因素：经济发展程度、行政区标准问题、历史因素和区域文化模式不同。     

A decision support system for geotechnical applications

A knowledge-based system shell called ‘Confound’ has been developed for the production of decision support systems. It was initially used for developing a system for conceptual foundation design but has subsequently been used for retaining wall, expansive soil and ground investigation applications. It uses a hierarchical object-oriented knowledge base where each object represents a decision in the decision making process. A simple rule-based approach is used to provide advice on the suitability of each potential choice, based on project specific information that is provided by the user. Confound has the ability to work with incomplete information and uses a system of confidence levels so that the user is aware of the confidence with which each piece of advice is given. Conflicting information in areas where knowledge is poorly defined can also be handled. Confound is designed to leave the user in full control. It simply provides comments on suitability (with an indication of confidence) and leaves the final decision to the user.     

Sub-basalt imaging problems and the application of Artificial Neural Networks

In many areas of the world, the presence of shallow high velocity, highly heterogeneous layers complicate seismic imaging of deeper reflectors. Of particular economic interest are areas where potentially hydrocarbon-bearing strata are obscured by layers of basalt. Basalt layers are highly reflective and heterogeneous. Using reflection seismic, top basalt is typified by a high-amplitude, coherent reflector with poor resolution of reflectors below the basalt, and even bottom basalt. Here, we present a new approach to the imaging problem using the pattern recognition abilities of a back-propagation Artificial Neural Network (ANN). ANNs are computational systems that attempt to mimic natural biological neural networks. They have the ability to recognize patterns and develop their own generalizations about a given data set. Back-propagation neural networks are trained on data sets for which the solution is known and tested on the data that are not previously presented to the ANN in order to validate the network result. We show that Artificial Neural Networks, due to their pattern recognition capabilities, can invert the medium statistics based on the seismic character. We produce statistically defined models involving a basalt analogous layer, and calculate full wavefield finite difference synthetic seismograms. We vary basalt layer thickness and source frequency to generate a synthetic model that produces seismic that is similar to real sub-basalt seismic, i.e. high amplitude top basalt reflector and the absence of base basalt and sub-basalt events. Using synthetic shot gathers, generated in a synthetic representation of the sub-basalt case, we can invert the velocity medium standard deviation by using an ANN. By inverting the velocity medium standard deviation, we successfully identified the transition from basalt to sub-basalt on the synthetic shot gathers. We also show that ANNs are capable of identifying the basalt to sub-basalt transition in the presence of incoherent noise. This is important for any future applications of this technique to the real-world seismic data, as this data is never completely noise-free. There is always a certain level of residual (noise remaining after initial noise filtering) environmental/ambient noise present on the recorded seismics, hence, neural network training with noise-free synthetic seismic is less than optimal.     

火箭人工增雨和防雹雷达指挥系统

火箭人工增雨和防雹雷达指挥系统充分利用我省天气雷达监测网技术优势，根据雷达回波信息和GPS的精确定位能力，采用可视化编程软件，为作业人员编制了一套操作简便、可视化、交互式的决策指挥操作平台，为作业决策提供了科学、客观、快捷的依据，并直接对作业进行指挥，实现了作业指挥的科学自动化，从而改善我们的作业效果，提高人民影响天气决策指挥的科技水平和防灾减灾的服务能力。     

人造地震动合成中的位移误差分析

三角函数级数法是合成人工地震动常用算法之一,但是通过对加速度积分求取位移时,却存在与零线漂移相类似的位移漂移现象。     

利用乌鲁木齐遥测地震台记录识别人工爆破与地震

选取乌鲁木齐遥测地震台记录的乌鲁木齐市附近人工爆破与天然地震资料 ,运用波谱分析、波形空间线性度等方法作对比研究 ,发现人工爆破与天然地震的波谱特征量和波形空间线性度多数情况下差异较大。在震级与震中距相近的条件下 ,主要差异表现在天然地震的纵、横波拐角频率 fc P和 fc S明显大于人工爆破 ,两者比值约为 2∶ 1 ;天然地震的最大谱值比 Ωm P/ Ωm S也明显大于人工爆破 ,两者比值约为 3∶ 1 ;地震 P波功率谱的频谱特征量 fm W、Δf W也比人工爆破大很多。这些差异可以作为识别人工爆破与天然地震的测震学指标。     

鹤壁市秋季中雨预报系统

利用鹤壁市1986－1999年秋季高空图资料，确定了48h和24h中雨高空要素预报指标；利用1995－2000年Micaps数据格式的物理量场分析结果，确定了24h中雨物理量预报指标。鹤壁市秋季中雨预报系统根据预报指标和人工神经元网络预报结果，对秋季降水进行逐级判别，综合做出预报结论。     

Comparison of Long-Term Forecasting of June-August Rainfall over Changjiang-Huaihe Valley

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