1950～1990年中国地磁剩余场冠谐分析

根据中国1950、1960、1970、1980年和1990年地磁三分量绝对测量资料，使用球冠谐和分析方法，分别计算1950～1990年各个年代中国地磁剩余场冠谐模型. 球冠极点位于36°N和104°E，球冠半角为30°，冠谐模型的截断阶数为8. 地磁剩余场冠谐模型的均方偏差分别为：对于X分量，1950年为93.1 nT，1960年为128.9 nT，1970年为107.2 nT，1980年为107.6 nT，1990年为95.2 nT；对于Y分量，1950～1990年依次为74.8 nT，98.1 nT，89.2 nT，89.9 nT和84.0 nT；对于Z分量，分别为122.2 nT(1950年)，135.0 nT(1960年)，137.7 nT(1970年)，110.1 nT(1980年)和107.5 nT(1990年). 根据中国地磁剩余场冠谐模型和全球地磁场DGRF模型，得到中国地磁场的冠谐模型，并对冠谐模型的边界效应进行了分析和讨论.     

GIS中的应用模型及其管理研究

本文通过对ＧＩＳ模型库系统的研究，讨论了ＧＩＳ应用模型的管理及ＧＩＳ应用模型发展中的若干问题。     

顾及地块时空特点的地籍数据组织及查询

通过分析地块变更的时空变化过程，总结出具有父子关系的时态地块的空间相交性和时间相接性特点，归纳出查询这种关系的约束条件。利用扩展时空复合模型和元组时区标记，借助于变更地块的约束条件，设计出查询变更地块的时态链算法。     

应用神经网络建立加速度峰值衰减规律

在假定了加速度峰值衰减规律的形式后，本采用人工神经网络拟合实际加速度峰值观测资料来求取方程中的待定系数。为加速神经网络的训练，本设计了基于ＢＰ学习算法的目标分段网络训练法。     

水库地震主震发生时间的预测

水利工程对水库地震的抗震设防要求事先对水为地震进行预测。预测内容包括蓄水后诱发地震的危险性（可能性、）最大震级、最大震的地占紧及不库地震对场址地震动参数的影响。除主震时间的预测外，本文第一作者都曾提出过初步的预测方法。本文认为，水库地震前震波速比异常、非线性灰色模型以及前震系列回归等方法，是预测主震时间的有前途的方法。     

地震活动时序谱的涨落统计特征与地震活跃期

为寻求地震活动演化的统计判据，本文采用多项式拟合法展示地震时序谱之涨落谱，以分维函数法判断最小邻间距（NNS）分布的Poisson性，然后采用MKS无参量法判别涨落谱之统计稳定性，确定NNS分布的转变区，具体研讨了四川、云南若干震区地震活动时序谱的涨落统计分布，发现地震活跃期到来时NNS分布表现出非Poisson化的特征。进一步通过改变和调节时序数据样本集之震级下限，并逐段前推进行统计计算的方式进一步验证结果的可靠性，客观地确定了这些震区地震活动时序涨落谱统计特征的转变期，使根据该统计法判断地震活跃期的方法论渐趋完善。     

先进的大地电磁资料处理和反演方法在INDEPTH-MT中的应用研究

简述了包括Ｒｏｂｕｓｔ估计、阻抗张量分解、Ｒｈｏｐｌｕｓ理论、二维快速松弛反演、静位移校正等一些先进的大地电磁资料处理和反演方法的理论。结合ＩＮＤＥＰＴＨ ＭＴ实测资料例举了它们的应用效果。提供了一套处理野外资料的系统流程。     

Source investigation of a small event using empirical Green's functions and simulated annealing

We propose a two-step inversion of three-component seismograms that (1) recovers the far-field source time function at each station and (2) estimates the distribution of co-seismic slip on the fault plane for small earthquakes (magnitude 3 to 4). The empirical Green's function (EGF) method consists of finding a small earthquake located near the one we wish to study and then performing a deconvolution to remove the path, site, and instrumental effects from the main-event signal.
The deconvolution between the two earthquakes is an unstable procedure: we have therefore developed a simulated annealing technique to recover a stable and positive source time function (STF) in the time domain at each station with an estimation of uncertainties. Given a good azimuthal coverage, we can obtain information on the directivity effect as well as on the rupture process. We propose an inversion method by simulated annealing using the STF to recover the distribution of slip on the fault plane with a constant rupture-velocity model. This method permits estimation of physical quantities on the fault plane, as well as possible identification of the real fault plane.
We apply this two-step procedure for an event of magnitude 3 recorded in the Gulf of Corinth in August 1991. A nearby event of magnitude 2 provides us with empirical Green's functions for each station. We estimate an active fault area of 0.02 to 0.15 km² and deduce a stress-drop value of 1 to 30 bar and an average slip of 0.1 to 1.6 cm. The selected fault of the main event is in good agreement with the existence of a detachment surface inferred from the tectonics of this half-graben.     

高分辨率地震技术探测采空区研究——以贾汪煤矿区为例

高分辨率地震技术可广泛用于工程物探。本文主要利用高分辨率地震勘探探测采空区的位置和范围，为建筑物地基稳定性的评价提供可靠的依据；同时，从理论分析和野外试验两方面探讨了高分辨地震技术的野外数据采集、资料处理和资料解释，并简单介绍了在贾汪矿区的应用效果。研究结果表明，高分辨率地震技术能查明建筑场地内的采空区     

Dynamic stochastic estimation of physical variables

A fundamental problem facing the physical sciences today is analysis of natural variations and mapping of spatiotemporal processes. Detailed maps describing the space/time distribution of groundwater contaminants, atmospheric pollutant deposition processes, rainfall intensity variables, external intermittency functions, etc. are tools whose importance in practical applications cannot be overestimated. Such maps are valuable inputs for numerous applications including, for example, solute transport, storm modeling, turbulent-nonturbulent flow characterization, weather prediction, and human exposure to hazardous substances. The approach considered here uses the spatiotemporal random field theory to study natural space/time variations and derive dynamic stochastic estimates of physical variables. The random field model is constructed in a space/time continuum that explicitly involves both spatial and temporal aspects and provides a rigorous representation of spatiotemporal variabilities and uncertainties. This has considerable advantages as regards analytical investigations of natural processes. The model is used to study natural space/time variations of springwater calcium ion data from the Dyle River catchment area, Belgium. This dataset is characterized by a spatially nonhomogeneous and temporally nonstationary variability that is quantified by random field parameters, such as orders of space/time continuity and random field increments. A rich class of covariance models is determined from the properties of the random field increments. The analysis leads to maps of continuity orders and covariances reflecting space/time calcium ion correlations and trends. Calcium ion estimates and the associated statistical errors are calculated at unmeasured locations/instants over the Dyle region using a space/time kriging algorithm. In practice, the interpretation of the results of the dynamic stochastic analysis should take into consideration the scale effects.