应用航放资料寻找非放射性金属矿产效果探讨

本通过对粤北地区已知的52个非放射性金属矿床（点）的地质、物化探特征的统计资料综合分析，建立了评价非放射性金属矿产成矿远景的航空能谱参数模型，结合重磁测量、重砂测量及金属量测量成果，预测了4片非放射性金属矿产成矿远景区。     

现代水文与空间数据采集技术

从基本定义、研究对象、研究领域、研究手段、研究方法、研究目的以及数据采集、服务等多个不同层面，对传统水文(学)和现代水文(学)进行了比较，分析了二者的特征和区别，论述了从传统水文向现代水文转变是现代水利的必然要求，而空间数据采集技术是实现这一转变极其重要的途径和手段。     

原始数据图数据自动标注方法

原始数据图是化探工作中重要的基础性图件，其数字化制图是一项费时费力的工作。利用Microsoft Visual Fox Pro、MAPGIS软件实现分析数据的自动标注，可大大地简化原始数据图制图，提高工作效率。     

区域土壤环境地球化学研究——异常成因判别·环境质量·污染程度评价的思路与方法

从概念内涵和应用目标出发,认为土壤环境地球化学质量评价应该分为质量现状和污染程度两个方面.在此基础上探讨了区域地球化学资料在土壤环境现状质量评价、异常成因识别、污染元素累积速率和土壤污染程度评价研究的基本思路和方法.     

新疆乌鲁木齐地区多年水氡观测资料的统计与分析

通过对乌鲁木齐地区1980—7．001年的水氡观测资料进行全时域扫描分析，以乌鲁木齐为中心300km范围内Ms≥5．0的地震事件为研究对象，挑选出观测资料中异常时段，用地震预报效能评价评分的方法对水氡观测资料预报地震的能力进行评价。     

数字化气氡观测干扰因素的分析研究

在进行地下流体数字化气氡观测及将观测资料应用于震情分析的过程中 ,发现某些干扰因素对数字化气氡观测和水氡的影响不同。在目前所用观测仪器和方法的条件下 ,气温对气氡值的影响系数为 - 0 4 % /℃ ;气压对气氡测值的影响系数为 0 1% /hPa ;不同类型的气水分离装置对气氡观测的影响很显著 ;同一含水层的井 (泉 )出水量的短期变化可引起观测水井流量的变化 ,但对气氡测值影响不显著 ;气氡测值对逸出气流量的变化反映不明显 ;逸出气含有杂质及气路泄漏等均会引起测值的下降。结合仪器的工作原理 ,对干扰产生的机制以及排除的方法进行了讨论     

上海及邻区的地壳形变速率与地震活动

对上海佘山地震台伸缩仪的数字记录资料进行去趋势以及地壳形变速率的分析表明：伸缩仪EW向在200l年5～7月存在破年变趋势异常，并且该测项的形变速率在2001年3～8月存在高于正常背景值的异常。结合GPS资料、应力场、地震活动性的情况分析后认为，佘山台的形变速率异常可反映上海及邻区应力场的部分信息，该信息对地震活动具有一定前兆意义。因此，应用形变数字化资料计算地壳形变速率，可作为对地层活动以及日常地震预测的一种分析方法。     

Principle and mathematical method for inverting stress State of a medium from the remote sensing data

It has been proved through experiments that the electromagnetic radiation energy of a substance will vary when stress acts on the substance. This moment, the electromagnetic radiation energy (observation value) received by the remote sensor is triggered not only by the substance temperature and also by the stress. Separating quantitatively these two kinds of electromagnetic radiation energy and then inversing the actual temperature state and stress state of a medium is a matter with practical significance in earthquake prediction and stability monitoring for the large-scale geotechnical engineering. In this paper the principle and the mathematical method for inversing stress by using multiband remote sensing data are discussed in detail. A calculation example is listed.     

System identification of instrumented bridge systems

Several recorded motions for seven bridge systems in California during recent earthquakes were analysed using parametric and non‐parametric system identification (SI) methods. The bridges were selected considering the availability of an adequate array of accelerometers and accounting for different structural systems, materials, geometry and soil types. The results of the application of SI methods included identification of modal frequencies and damping ratios. Excellent fits of the recorded motion in the time domain were obtained using parametric methods. The multi‐input/single‐output SI method was a suitable approach considering the instrumentation layout for these bridges. Use of the constructed linear filters for prediction purposes was also demonstrated for three bridge systems. Reasonable prediction results were obtained considering the various limitations of the procedure. Finally, the study was concluded by identifying the change of the modal frequencies and damping of a particular bridge system in time using recursive filters. Copyright © 2003 John Wiley & Sons, Ltd.     

System identification of linear structures based on Hilbert–Huang spectral analysis. Part 2: Complex modes

A method, based on the Hilbert–Huang spectral analysis, has been proposed by the authors to identify linear structures in which normal modes exist (i.e., real eigenvalues and eigenvectors). Frequently, all the eigenvalues and eigenvectors of linear structures are complex. In this paper, the method is extended further to identify general linear structures with complex modes using the free vibration response data polluted by noise. Measured response signals are first decomposed into modal responses using the method of Empirical Mode Decomposition with intermittency criteria. Each modal response contains the contribution of a complex conjugate pair of modes with a unique frequency and a damping ratio. Then, each modal response is decomposed in the frequency–time domain to yield instantaneous phase angle and amplitude using the Hilbert transform. Based on a single measurement of the impulse response time history at one appropriate location, the complex eigenvalues of the linear structure can be identified using a simple analysis procedure. When the response time histories are measured at all locations, the proposed methodology is capable of identifying the complex mode shapes as well as the mass, damping and stiffness matrices of the structure. The effectiveness and accuracy of the method presented are illustrated through numerical simulations. It is demonstrated that dynamic characteristics of linear structures with complex modes can be identified effectively using the proposed method. Copyright © 2003 John Wiley & Sons, Ltd.