试论水氡观测中仪器K值的使用

在水氡观测仪器标定中，关于标定K值的使用方法，《规范》规定：当新一原K值相对偏差小于5％时继续管用原K值。但在实际观测中，这样容易导致误差积累。本文从日常观测中出现的几个问题分析，认为在每年仪器标定后，无论标定的仪器新一原K值相对偏差是否大于5％，都应采用新K值。     

影响固体源标定的几个因素

几年来的实践表明,使用Rn-150型固体源对常用的水氡仪器进行标定具有明显的优点:操作简便,标定精度高,误差明显地小于使用液体源的标定结果。但是,如果在标定中对具体环节注意不够,造成观测与标定条件不一致,则会产生明显的标定误差。为此本文分别对标定中干燥剂、真空表、乳胶管使用等环节进行实验研究,搞清了各个环节对K值的不同影响。     

设计反应谱标定方法的研究现状与讨论

设计反应谱及其标定方法的研究是工程抗震研究领域的基本问题之一。在现有研究成果的基础上,归纳和总结了设计反应谱及其标定方法的研究历史和现状;评述了研究进程中的若干节点问题;介绍了设计反应谱的标定原理和当前几种有代表性的设计反应谱的标定方法;分析了设计反应谱标定参数的影响因素。在此基础上,对设计反应谱及其标定方法研究中的强震资料积累问题、谱形状问题、标定参数的确定问题以及标定方法等问题进行了讨论并提出了改进和进一步研究的建议。     

GWR超导重力仪潮汐观测标定因子的精密测定

超导重力仪被普遍认为是迄今为止观测精度高、连续性和稳定性最好的相对重力仪，但是在获得真实重力场变化之前，必须利用格值（标定因子）对这类仪器的直接输出量（电压变化）进行标定．研究表明，格值的准确度将影响到观测数据的后续分析和资料的解释，本文利用两期（每期３天）FG５绝对重力仪在武汉国际重力潮汐基准站上的同址测量资料和该台站已知潮汐参数，详细研究了超导重力仪标定因子及其精度．      

高阶脉冲标定器及观测系统幅频特性

在前阶段理论研究的基础上,搜寻到了几种高阶脉冲波形,其频谱的低频分量平坦,高频分量更丰富。据此制成功能完善,性能优良的标定器。用高阶脉冲标定器产生的标定电流来激励拾震器,使观测系统产生相应的响应,由计算机采集该响应,并进行富氏变换及相关运算。由此可得到系统的幅频特性Ｋ（ω）,为暂态标定结果。对于速度 平坦型观测系统暂态标定与稳定态标定所得的特性曲线完全重合,即标定精度相同。     

形变标定格值计算软件

为提高地壳形变观测仪器格值标定的真实性、准确性和可靠性,根据《地震前兆台网运行管理办法》和《地震前兆台网形变观测与运行工作细则》,针对不同测项、不同仪器标定的规范要求及特点,应用Visual Basic语言编制了格值计算软件。本文主要介绍了软件的使用、格值计算、误差检查方法,结果以全国形变台网中心推荐的Word格式保存。对水管仪、水平摆、垂直摆仪直接从原始文件读取数据,提高了标定精度,实现了格值标定的半自动化。本软件已应用于河北省地震前兆数字化台站工作。     

反应谱及标定方法研究的历史与现状

反应谱及其标定方法是抗震设计研究领域的基本问题。简要介绍了反应谱的概念,总结了20世纪以来反应谱的研究历程和最新进展;总结了反应谱在工程抗震中的应用,对比分析了我国不同时期各行业抗震规范中设计反应谱的相关规定。详细介绍了目前反应谱标定的主要方法、存在的问题及演进历程,最后对反应谱及其标定方法需要继续研究的问题进行了讨论。该项工作对开展反应谱理论研究和抗震设计研究有一定的参考意义。     

上海地震台阵标定结果研究

本文阐述了地震台阵标定理论和上海地震台阵的标定方法，并对上海台阵标定结果进行了分析：给出2个典型地震的台阵标定结果；对日本北海道地区和本州地区的地震标定差别进行了研究；研究了不同方向、不同震中距和不同震级的地震标定结果。讨论结果表明，上海地震台阵标定显著提高了定位的精度。     

大位移拾振器线性度的标定

至今仍未见一种有效的标定方法和设备，可直接标定大位移拾振器的线性度。本文介绍了一种标定超低水平向大位移拾振器线性度的回转标定法，以供讨论。     

一种计算固体潮观测数据改正值的新方法

从标定前一天和标定当天的地形变前兆数据变化趋势入手，在分析当天数据结构的基础上采用最小二乘法原理，提出了一种计算数采改正值的新方法。经典型实例计算表明，该方法精度较高，效果明显。并对误差的来源作了进一步的分析。     

Deriving the relationship among discharge,biomass and Manning's coefficient through a calibration approach

The subject of environmental engineering is currently of great interest. Field experiments as well as numerical models have proven their worth in this research field. An introduction to hydrodynamic modelling, coupled to the modelling of vegetation biomass is described. The developed Strive (STream RIVer Ecosystem) model is set up in the Femme (‘Flexible Environment for Mathematically Modelling the Environment’) environment and has already proven its worth in a large number of calculations (De Doncker et al., 2006 , 2008b ). Discharges and water levels are modelled together with modelling of electrical conductivity (EC). Extensive measurement campaigns are carried out to collect a large number of observations and calibration of the model is based on this data set. Furthermore, calibration methods and the discussion of this process are displayed. As a result, it is seen that the developed Strive model can model both, hydrodynamic and ecological processes, in an accurate way. The work highlights the importance of detailed determination of Manning's coefficient, dependent on discharge and amount of biomass, as an important calibration parameter for accurate modelling. Copyright © 2011 John Wiley & Sons, Ltd.     

Accelerograph calibration and accelerogram correction

When measured earthquake accelerations are used as a basis for structural design, then acceleration errors of a few per cent are usually acceptable. However a number of tasks in structural design, and in earthquake engineering research, require measured accelerations with errors limited to a few parts per thousand. Such tasks include those which call for the calculation of angular accelerations, the comparison of acceleration spectra or the calculation of relative displacement Accurate accelerations may be obtained from existing accelerographs by applying the results of an accurate static calibration to an accelerogram, and then applying corrections for the effects of accelerometer resonance. This paper concentrates attention on the correction of static errors, including sensing direction errors and cross-axis interaction errors. For completeness there is a brief discussion of dynamic errors, which depend on accelerometer periods and dampings. It is concluded that earthquake accelerations may be obtained with errors of not much more than 0·001 g, the resolution of a typical accelerograph, at least for periods greater than 0·2 sec. When the accelerations have shorter periods, larger errors may arise due to the limited accuracy of the corrections for dynamic errors The static calibration of accelerographs, and the corresponding record correction procedures, are illustrated by application to the M.O.2 accelerograph.     

Uncertainty in index flood modelling due to calibration data sizes

Regional frequency analysis is an important tool in estimating design flood for ungauged catchments. Index flood is an important component in regionalized flood formulas. In the past, many formulas have been developed based on various numbers of calibration catchments (e.g. from less than 20 to several hundred). However, there is a lack of systematic research on the model uncertainties caused by the number of calibration catchments (i.e. what is the minimum number of calibration catchment? and how should we choose the calibration catchments?). This study uses the statistical resampling technique to explore the impact of calibration catchment numbers on the index flood estimation. The study is based on 182 catchments in England and an index flood formula has been developed using the input variable selection technique in the data mining field. The formula has been used to explore the model uncertainty due to a range of calibration catchment numbers (from 15 to 130). It is found that (1) as expected, the more catchments are used in the calibration, the more reliable of the models developed are (i.e. with a narrower band of uncertainty); (2) however, poor models are still possible with a large number of calibration catchments (e.g. 130). In contrast, good models with a small number of calibration catchments are also achievable (with as low as 15 calibration catchments). This indicates that the number of calibration catchments is only one of the factors influencing the model performance. The hydrological community should explore why a smaller calibration data set could produce a better model than a large calibration data set. It is clear from this study that the information content in the calibration data set is equally if not more important than the number of calibration data. Copyright © 2011 John Wiley & Sons, Ltd.     

Calibrating multi-frequency acoustic backscatter systems for studying near-bed suspended sediment transport processes

The utilisation of sound backscattered from sediments in suspension, to measure profiles of near-bed particle size and concentration, has been gaining increasing acceptance and usage by sedimentologists and coastal engineers over the past two decades. To obtain the sediment parameters from the backscattered signal requires an inversion to be conducted on the signal and this necessitates a system calibration. The calibration can be carried out by detailed acoustic and electronic measurements, or alternatively by measuring the backscattering from suspensions with known scattering characteristics. Here, we explore the latter approach and describe in some detail the calibration of a triple frequency acoustic backscatter system. The aim is to provide coastal scientists involved in using acoustics as a tool for sediment transport research, with a clear exposition of the calibration process. Suspensions of glass spheres of varying particle size were used as the calibration scatterers. To interpret the signal backscatter from the suspension of glass spheres a simple model for sphere scattering is presented. The results show that consistent calibration results can be obtained in a relatively simple and robust manner.     

Using model error in response history analysis to evaluate component calibration methods

This research is part of a larger effort to better understand and quantify the epistemic model uncertainty in dynamic response-history simulations. This paper focuses on how calibration methods influence model uncertainty. Structural models in earthquake engineering are typically built up from independently calibrated component models. During component calibration, engineers often use experimental component response under quasi-static loading to find parameters that minimize the error in structural response under dynamic loading. Since the calibration and the simulation environments are different, if a calibration method wants to provide optimal parameters for simulation, it has to focus on features of the component response that are important from the perspective of global structural behavior. Relevance describes how efficiently a calibration method can focus on such important features. A framework of virtual experiments and a methodology is proposed to evaluate the influence of calibration relevance on model error in simulations. The evaluation is demonstrated through a case study with buckling-restrained braced frames (BRBF). Two calibration methods are compared in the case study. The first, highly relevant calibration method is based on stiffness and hardening characteristics of braces; the second, less relevant calibration method is based on the axial force response of braces. The highly relevant calibration method consistently identified the preferable parameter sets. In contrast, the less relevant calibration method showed poor to mediocre performance. The framework and methodology presented here are not limited to BRBF. They have the potential to facilitate and systematize the improvement of component-model calibration methods for any structural system.     

感应式磁力仪标定方法的定量分析

本文讨论了感应式磁力仪标定的最佳方法。定量分析了标定方式的选择、标定线圈最佳尺度和标定中的误差等问题。为标定线圈制作、野外施工和提高标定精度等提供参考     

On the calibration of feedback broadband seismometer FBS-3A with current signal

IntroductionWith the time passing by and the environment changing, the characteristics of the components in a seismometer may change a little to some extent because of some certain reasons. Therefore the reliability of a sensor(s output may lower the reliability and a wrong result may also be produced if these changes are not realized and controlled or adjusted in time. Hence, the seismometers must be calibrated either before leaving factory or in use, so as to check the parameters and the cha…