路用探地雷达的应用技术研究进展

有效、无损、快捷、简便是公路检测技术发展的方向，当前国内外先进的浅层勘探技术——路用探地雷达检测，以其无损、快捷以及浅层高分辨率的优势被迅速应用于公路检测。本文对近年来路用探地雷达技术的发展及应用情况进行了介绍，详细分析了探地雷达的工作原理、系统组成结构。就探地雷达在公路建设、维护过程中的应用情况进行了系统总结。     

Comparison of the Langrangian Footprint

We compare flux and concentration footprint estimates of athree-dimensional Lagrangian stochastic dispersion modelapplying backward trajectories with the results of ananalytical footprint model by Kormann and Meixner.The comparison is performed for varying stability regimesof the surface layer as well as for different measurementheights. In general, excellent correspondence is found.     

The identification and criteria of short-term seismicity gap before a great earthquake

ＴｈｅｉｄｅｎｔｉｆｉｃａｔｉｏｎａｎｄｃｒｉｔｅｒｉａｏｆｓｈｏｒｔｔｅｒｍｓｅｉｓｍｉｃｉｔｙｇａｐｂｅｆｏｒｅａｇｒｅａｔｅａｒｔｈｑｕａｋｅＪＩＮＧＱＵＡＮＣＡＯ（曹井泉）ＪＩＡＬＩＮＳＵＮ（孙加林）ＹＩＹＡＮＧ（杨毅）Ｓｅｉｓｍｏｌ...     

结构参数未知条件下的地震动反演研究

本文运用复合反演的观点研究结构参数未知条件下的地震动反演问题。根据地震作用的力学特性，将其具体化为估计输入的修正条件，文中给出了一类反演算法。理论分析及算例表明，该算法具有稳定的收敛特性以及良好的反演效果。     

震后预报的某些研究

通过研究华北北部中强以上地震震后地震活动，地形变、地电阻率、水化学和水位变化特征，给出了各单项方法识别震后效应与新地震异常的标志。为了综合判别震后短临异常变化是震后效应或新异常，研制了一套综合识别计算机程序系统，该系统考虑了已发生的强震序列类型，地震活动背景特征以及强震前后前兆短临异常变化形态，充分利用专家的知识与经验进行推理和判断。通过运行典型事例表明该系统功能较强，使用方便。系统的实现是专家系     

UNIVERSALITY OF THE LAGRANGIAN VELOCITY STRUCTURE FUNCTION CONSTANT (C0) ACROSS DIFFERENT KINDS OF TURBULENCE

In this paper, we evaluate the Lagrangian velocity structure function constant, C0, in the inertial subrange by comparing experimental diffusion data and simulation results obtained with applicable Lagrangian stochastic models. We find in several different flows (grid turbulence, laboratory boundary-layer flow and the atmospheric surface layer under neutral stratification) the value for C0 is 3.0 ± 0.5. We also identify the reasons responsible for earlier studies having not reached the present result.     

Phase-array decomposition of a seismic section

A seismic re fraction/wide-angle reflection profile is analysed for the presence of correlated events ('phases'). The correlation problem is formulated in terms of temporally, spatially and frequency-local complex covariances. For robustness, the method concentrates on phase rather than amplitude information. This allows a computationally efficient algorithm that can make allowance for signal correlation length and can model curved wavefronts. A statistical test based on residual phase misfit across the analysed subarray is used to assess the probability that a detected event represents a real correlated signal.
With our chosen analysis parameters and confidence level (over 99.9 per cent). 1222 events were detected in the data. Using simple techniques based on 1-D earth models, detected events are associated with a small number of particular wave types. In this way, we have succeeded in classifying almost 95 per cent of the detected events. Those that remain describe those components of the data that are inconsistent with our simple ray paths in the 1-D assumption and with our prescribed tolerance. These include reverberations, near-surface guided waves and reflected waves from strongly laterally inhomogeneous structures. According to our modelling, about 25 per cent of the detected events are consistent with simple P -wave reflected energy, and these are to a very large extent (over 85 per cent) distinct from all the other wave-type models we have used. A direct mapping of the detected events into the offset-depth domain reveals dear internal and external consistencies among the detections for the various wave types. Estimated earth structure is consistent with models from previous analyses based on much larger data sets.
We have thus succeeded in extracting correlated events from the data and decomposing these, approximately but meaningfully, into distinct classes (ray paths)     

分离的大陆板块边缘镁铁－超镁铁岩系Th／Hf—Ta／Hf判别

本文在论述了Ｔｈ／Ｈｆ－Ｔａ／Ｈｆ关系判别岩浆岩源区大地构造环境机理的基础上，根据世界上典型大地构造环境区岩浆岩系的Ｔｈ、Ｔａ、Ｈｆ特征，提出了分离的大陆板块边缘镁铁－超镁铁岩的Ｔｈ／Ｈｆ—Ｔａ／Ｈｆ判别标志：Ｔｈ／Ｔａ＝１．８～４．０，Ｔａ／Ｈｆ＞０．１。     

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.