Estimating the settling velocity of bioclastic sediment using common grain‐size analysis techniques

Most techniques for estimating settling velocities of natural particles have been developed for siliciclastic sediments. Therefore, to understand how these techniques apply to bioclastic environments, measured settling velocities of bioclastic sedimentary deposits sampled from a nearshore fringing reef in Western Australia were compared with settling velocities calculated using results from several common grain‐size analysis techniques (sieve, laser diffraction and image analysis) and established models. The effects of sediment density and shape were also examined using a range of density values and three different models of settling velocity. Sediment density was found to have a significant effect on calculated settling velocity, causing a range in normalized root‐mean‐square error of up to 28%, depending upon settling velocity model and grain‐size method. Accounting for particle shape reduced errors in predicted settling velocity by 3% to 6% and removed any velocity‐dependent bias, which is particularly important for the fastest settling fractions. When shape was accounted for and measured density was used, normalized root‐mean‐square errors were 4%, 10% and 18% for laser diffraction, sieve and image analysis, respectively. The results of this study show that established models of settling velocity that account for particle shape can be used to estimate settling velocity of irregularly shaped, sand‐sized bioclastic sediments from sieve, laser diffraction, or image analysis‐derived measures of grain size with a limited amount of error. Collectively, these findings will allow for grain‐size data measured with different methods to be accurately converted to settling velocity for comparison. This will facilitate greater understanding of the hydraulic properties of bioclastic sediment which can help to increase our general knowledge of sediment dynamics in these environments.     

负温条件下激光位移传感器的标定

在使用激光位移传感器测试冻土位移中,由于测试现场环境条件恶劣,厂家给出的传感器线性度会降低,因此,需要对所有传感器在使用前应模拟使用时的环境条件重新进行标定。为验证激光位移传感器在冻土测试中的适用性,依据德国森萨帕特FT-50RLA220型激光位移传感器的结构、使用特点、技术指标,设计了由控温箱、标定支架、激光位移传感器、量块及数据采集装置组成的标定的装置,进行了不同负温条件下对激光位移传感器标定,并依据标定试验结果进行拟合参数修正,得到不同环境温度下的试验结果的线性度和迟滞特性。试验结果表明：不同的环境温度下,两个激光位移传感器与标准厂家测试曲线存在差异,不同负温条件下标定的两个激光位移传感器的拟合优度R²分别为0.999和1;线性度最大值分别为0.88%FS和0.32%FS。     

重力勘探中近区地形改正数据测量方法的试验

针对重力勘探中近区地形改正的重要性以及至今没有效果较好的地形改正方法,笔者采用四种方法(目估、激光测距仪、森林罗盘仪、RTK)分别从人工、使用仪器、用时、精度及综合的台效方面进行了详细分析,总结了各种方法的优缺点,为近区地改提供了较好的应用和示范效果.     

SCM链路中激光器对副载波调制频率的响应特性研究

着重讨论激光器对内调制模拟信号频率的响应特性，定量分析光子密度的幅值及相位对模拟激励信号频率的依赖关系，给出特征参数和曲线，供模拟系统设计者参考。     

Multi-Source Emission Determination Using an Inverse-Dispersion Technique

Inverse-dispersion calculations can be used to infer atmospheric emission rates through a combination of downwind gas concentrations and dispersion model predictions. With multiple concentration sensors downwind of a compound source (whose component positions are known) it is possible to calculate the component emissions. With this in mind, a field experiment was conducted to examine the feasibility of such multi-source inferences, using four synthetic area sources and eight concentration sensors arranged in different configurations. Multi-source problems tend to be mathematically ill-conditioned, as expressed by the condition number κ. In our most successful configuration (average κ = 4.2) the total emissions from all sources were deduced to within 10% on average, while component emissions were deduced to within 50%. In our least successful configuration (average κ = 91) the total emissions were calculated to within only 50%, and component calculations were highly inaccurate. Our study indicates that the most accurate multi-source inferences will occur if each sensor is influenced by only a single source. A “progressive” layout is the next best: one sensor is positioned to “see” only one source, the next sensor is placed to see the first source and another, a third sensor is placed to see the previous two plus a third, and so on. When it is not possible to isolate any sources κ is large and the accuracy of a multi-source inference is doubtful.     

GGR Critical Review of Analytical Developments in 2003

The articles that comprise this critical review serve to draw attention to research papers published in specific fields of interest during 2003, provide critical comment on the relevance and importance of individual publications in these fields, and offer an overview of the comparative importance of advances in particular areas. In this way, these articles aim to assist experts in the field by keeping them informed of relevant recent publications, as well as providing an important resource for students or early career researchers who are embarking on studies in an area new to them. This year, five papers provide summaries of developments in bulk sample determinations employing (1) ICP-AES and ICP-MS (trace elements), (2) XRF and atomic absorption spectrometry and INAA, (3) isotope ratio measurements (TIMS, MC-ICP-MS, ICP-MS, ToF), as well as in situ measurements conducted using (4) secondary ion mass spectrometry and (5) laser ablation ICP-MS (trace element and isotope ratio determinations).     

基于三维激光扫描技术的钢结构扰度检测及应用

钢结构在长期荷载及不均匀受力的作用下会产生空间变形,其中扰度是其重要的衡量指标。通常采用全站仪采集钢结构轴线上若干特征点进行分析、计算,由于钢结构特征点难以捕捉,测量存在误差,并且有限的空间离散点难以全面反应钢结构空间变形。本文采用徕卡RTC360三维激光扫描进行钢结构扰度测量;介绍了其作业流程及数据处理方法;利用标靶将各个测站的三维点云拼接成一个整体;采用拟合的方法提取空间特征点及轴线;利用三维点云构建空间模型,并与设计模型进行碰撞分析;可全面地反映钢结构的空间变形情况。     

平原地区机载激光雷达数据的抽稀算法分析

目前,机载激光雷达点云数据在测绘行业中的应用还存在较多的瓶颈。为了使机载激光雷达点云数据更好地服务等值线等数据的生产,发挥其高效和高精度的优势,本文归纳、总结了国内外现有的LiDAR点云数据抽稀算法,并通过对比分析现有LiDAR点云数据抽稀算法存在的优缺点,如系统抽稀、格网抽稀、TIN抽稀和坡度抽稀等算法,结合平原地区激光点云在实际生产中的应用,研究了更适合平原地区点云数据的抽稀方法,通过大量的数据测试和试生产。结果表明,该方法可以在应用项目精度约束下保证数据质量,减少了后期数据处理应用的难度,提升了后续成果数据的质量,提高了作业生产效率,对机载激光雷达点云数据在测绘行业中的应用推广具有重要的现实意义。     

利用地面三维激光扫描进行桥梁挠度变形分析

针对常规桥梁挠度变形分析方法仅能获取有限数量离散监测点的几何变形,且存在自动化程度低、效率低、局限性大的问题,本文提出了一种基于点云数据的桥梁挠度变形分析方法。首先通过地面三维激光扫描仪获取桥梁变形体上的点云数据,经过精确配准,获取可靠点云数据。然后利用滑动窗口法得到桥梁线形,并通过两期线形叠差分析得到桥梁挠度变化。最后以跨度40 m+65 m+40 m的连续钢构桥实体工程为试验对象,利用本文方法发现该桥梁存在最小值为8 mm、跨中最大值为17.5 mm、平均值为14.9 mm的挠度变形。结果表明,该方法理论严密、计算效率高、简单实用。研究结果对三维激光扫描技术在变形监测领域的深度应用有重要借鉴意义。     

地面三维激光扫描地形测量数据粗差剔除算法及实现

本文基于地面三维激光扫描技术用于地形测量时点云数据的特点,得到引起结果存在粗差的障碍物上的点云具有坡度大于实际地形上坡度的特征,并据此提出了一种实用的粗差提取算法。对算法的原理、实现过程和其中重要参数的确定进行了分析,并编程实现了算法。最后,应用实例对粗差提取效果进行了检验,证明了算法的可行性和可靠性。