一种数字三分量地震微测井仪器设计

针对当前地震微测井仪器在施工和数据采集方面的难题,从提高数据采集质量及仪器功能性方面提出了几种改进方法.主要利用MEMS加速度传感器结合多路并行处理采集方法设计了数字检波器,并集成姿态检测技术直接实现水平分量数据的校正功能,保证系统采集的质量;提出了Ethernet-RS485分布式总线自动控制技术,实现各级联探管的随机组合,同时采用电动方式控制探管操作,提高系统的集成化程度.文中详细分析了利用姿态检测技术实现水平分量数据校正的方法,解决了级联探管随机组合控制和震源激发方位的判定问题.仪器单节探管支持三分量并行采集,有效分辨率达18位,参数可远程配置,同时具备快速显示探管姿态的功能,且支持远程控制,非常适于复杂环境下的工程勘探,整个系统实现全数字化操作且仅需四芯电缆互连,从而缩小了设备的体积和重量,降低施工布线的复杂性.

     

基于OFDM的CDMA3G无线通信系统传输地震数据分析

OFDM是一种无线环境下的高速传输技术,它采用一种不连续的多调制技术,将不同载波中的大量信号合并成单一的信号,从而完成信号传送。由于这种技术具有在杂波干扰下传送信号的能力,因此常常会被利用在容易受外界干扰或者抵抗外界干扰能力较差的传输介质中。由于在OFDM系统中各个子信道的载波相互正交,它们的频谱是相互重叠的,这样不但减小了子载波间的相互干扰,同时又提高了频谱利用率。由于地震监测系统中需要传输大量数据,因此OFDM技术在地震监测系统中将有广泛的应用。     

Prestack data enhancement with phase corrections in time-frequency domain guided by local multidimensional stacking

We present a new approach to enhancing weak prestack reflection signals without sacrificing higher frequencies. As a first step, we employ known multidimensional local stacking to obtain an approximate ‘model of the signal’. Guided by phase spectra from this model, we can detect very weak signals and make them visible and coherent by ‘repairing’ corrupted phase of original data. Both presented approaches – phase substitution and phase sign corrections – show good performance on complex synthetic and field data suffering from severe near-surface scattering where conventional processing methods are rendered ineffective. The methods are mathematically formulated as a special case of time-frequency masking (common in speech processing) combined with the signal model from local stacking. This powerful combination opens the avenue for a completely new family of approaches for multi-channel seismic processing that can address seismic processing of land data with nodes and single sensors in the desert environment.     

Wind and Wave Data Analysis for the Aegean Sea - Preliminary Results

In this paper, a statistical analysis on wind and wave buoy measurements and wind and wave model forecasts obtained during a two-year period (1999-2001) is presented with reference to four characteristic near-shore sites of the Aegean Sea. The measurements are a main product of the "POSEIDON" system aiming at the monitoring and forecasting of the state of the Greek seas, operated by the National Centre for Marine Research (NCMR). Although the two-year period is rather short for a thorough analysis of the local wind and wave climate, yet the obtained results, presented herein for the first time, reveal some interesting features of the corresponding wave and wind characteristics. Comparisons between the measurements and the forecast results are also performed at the locations under consideration. It is found that (i) wind speeds obtained from the POSEIDON weather forecasting system are, in general, in agreement with the measurements, except for high wind speeds which are systematically underestimated, (ii) the WAM model can successfully follow the monthly and over year trend of the evolution of wind and wave characteristics, but face significant problems for efficient sea-state forecasting. Finally, the overall pattern of the wind/wave climate for the entire Aegean Sea as obtained from the models is presented by means of the spatial distribution of the mean annual wind and sea-state intensity.     

面向估计性能的双通道带宽分配策略研究

本文主要研究了面向估计性能的双通道带宽分配策略问题.为了减小网络化控制系统中时滞现象对信号传输的影响,将系统建模为Markov跳变时滞系统.采用双通道传输策略,提升数据到达率,减少数据包的丢失.考虑到信道容量的有限性不利于大量数据的高效传输,将有限的带宽灵活地分配于两个通道,使得信道容量得到充分利用.在此基础上,本文提出了面向估计性能的双通道带宽分配策略,设计了双通道量化传输方案以及状态估计器,推导出了时变估计误差系统满足H_∞性能的充分条件,并得出估计器增益矩阵设计方法,最后给出实例验证了所设计系统的有效性.     

基于SuperMap的图形处理技术

本文首先阐述了SuperMap DeskPro的基本功能，然后对利用SuperMap DeskPro进行常规图形处理的技巧进行了详细介绍，具体包括地图配准、地图拼接、数据集重新整合、对象标注、文本数据集到属性字段的转换和地图格网生成。通过这些技巧的运用，可以有效提高数据的处理能力。     

中国科技资源配置效率测度及其时空格局演变特征(英文)

According to the connotation and structure of science and technology resources and some relevant data of more than 286 cities at prefecture level and above during 2001–2010, using modified method—Data Envelopment Analysis(DEA), science and technology(ST) resource allocation efficiency of different cities in different periods has been figured out, which, uncovers the distributional difference and change law of ST resource allocation efficiency from the time-space dimension. Based on that, this paper has analyzed and discussed the spatial distribution pattern and evolution trend of ST resource allocation efficiency in different cities by virtue of the Exploratory Spatial Data Analysis(ESDA). It turned out that:(1) the average of ST resource allocation efficiency in cities at prefecture level and above has always stayed at low levels, moreover, with repeated fluctuations between high and low, which shows a decreasing trend year by year. Besides, the gap between the East and the West is widening.(2) The asymmetrical distribution of ST resource allocation efficiency presents a spatial pattern of successively decreasing from Eastern China, Central China to Western China. The cities whose ST resource allocation efficiency are at higher level and high level take on a cluster distribution, which fits well with the 23 forming urban agglomerations in China.(3) The coupling degree between ST resource allocation efficiency and economic environment assumes a certain positive correlation, but not completely the same. The differentiation of ST resource allocation efficiency is common in regional development, whose existence and evolution are directly or indirectly influenced by and regarded as the reflection of many elements, such as geographical location, the natural endowment and environment of ST resources and so on.(4) In the perspective of the evolution of spatial structure, ST resource allocation efficiency of the cities at prefecture level and above shows a notable spatial autocorrelation, which in every period presents a positive correlation. The spatial distribution of ST resource allocation efficiency in neighboring cities seems to be similar in group, which tends to escalate stepwise. Meanwhile, the whole differentiation of geographical space has a diminishing tendency.(5) Viewed from LISA agglomeration map ofST resource allocation efficiency in different periods, four agglomeration types have changed differently in spatial location and the range of spatial agglomeration. And the continuity of ST resource allocation efficiency in geographical space is gradually increasing.     

Preconditioned Optimizing Utility for Large-dimensional analyses (POpULar)

I present the derivation of the Preconditioned Optimizing Utility for Large-dimensional analyses (POpULar), which is developed for adopting a non-diagonal background error covariance matrix in nonlinear variational analyses (i.e., analyses employing a non-quadratic cost function). POpULar is based on the idea of a linear preconditioned conjugate gradient method widely adopted in ocean data assimilation systems. POpULar uses the background error covariance matrix as a preconditioner without any decomposition of the matrix. This preconditioning accelerates the convergence. Moreover, the inverse of the matrix is not required. POpULar therefore allows us easily to handle the correlations among deviations of control variables (i.e., the variables which will be analyzed) from their background in nonlinear problems. In order to demonstrate the usefulness of POpULar, we illustrate two effects which are often neglected in studies of ocean data assimilation before. One is the effect of correlations among the deviations of control variables in an adjoint analysis. The other is the nonlinear effect of sea surface dynamic height calculation required when sea surface height observation is employed in a three-dimensional ocean analysis. As the results, these effects are not so small to neglect.     

建筑用地钉桩数据一体化生产技术的应用研究

对建筑用地钉桩数据组织、空间数据存储模型、数据一体化生产技术、系统的设计与实现进行了研究和探讨。提出基于ORACLE关系型数据库和ArcSDE空间数据引擎进行建筑用地钉桩数据管理,建立建筑用地钉桩数据库;建立建筑用地钉桩数据存储模型,基于关系型数据库实现了建筑用地钉桩空间数据和属性数据的统一存储和管理,实现了AutoCAD平台与GIS平台无损数据交换;建立了建筑用地钉桩数据一体化生产管理系统,实现了建筑用地钉桩数据生产一体化、网络化管理及分发服务,具有实用性及推广价值。     

A model for estimating the value of sampling programs and the optimal number of samples for contaminated soil

A model is presented for estimating the value of information of sampling programs for contaminated soil. The purpose is to calculate the optimal number of samples when the objective is to estimate the mean concentration. A Bayesian risk–cost–benefit decision analysis framework is applied and the approach is design-based. The model explicitly includes sample uncertainty at a complexity level that can be applied to practical contaminated land problems with limited amount of data. Prior information about the contamination level is modelled by probability density functions. The value of information is expressed in monetary terms. The most cost-effective sampling program is the one with the highest expected net value. The model was applied to a contaminated scrap yard in Göteborg, Sweden, contaminated by metals. The optimal number of samples was determined to be in the range of 16–18 for a remediation unit of 100 m². Sensitivity analysis indicates that the perspective of the decision-maker is important, and that the cost of failure and the future land use are the most important factors to consider. The model can also be applied for other sampling problems, for example, sampling and testing of wastes to meet landfill waste acceptance procedures.