微震仪标定精度的分析与改进

从微震仪标定的基本公式出发，以误差理论为基础，以ＤＤ—１型地震仪为例，导出标定中各因素对标定精度的影响；并用概率统计方法，对标定精度做了比较符合实际的计算，进而提出了提高标定精度的改进措施。     

SHOULD BESTOW MORE PHYSICAL CONNOTATION ON GRAIN SIZE PARAMETER

1.INTRODUCnONSAn~sizeplaysanimpo~roleinmanyfields,SUChasinndmeDt-laden~ordebrisflow.TheStateofsedimentmovementwhateVertheyaresugunded.jUInpingorbed-loading,isoftencloselyrelatedtOtheirSizes.Thebodyor~forcesbornacaglainareOftendiredproponionedtotheabcorSq~sizeofthisgrain.Thereforesedimentsizeisanimpohalltindextoesedimentcharacteristics.Besides,depositsizeanditsdistributionimplysome~infonnationdepositingfonnationenvironmentandcauseing~hyandgeqlogy.Ina~on.thesizeanditsdistributionareeac…     

The Poseidon Operational Tool for the Prediction of Floating Pollutant Transport

In this work the development and the application of an operational management tool for the Greek Seas is described. This tool consists of a three-dimensional floating pollutant prediction model coupled with a weather, a hydrodynamic and a wave model in order to track the movements and the spreading of the pollutants and indicate those coastal areas which might be affected. The tool is part of the Poseidon system which has been designed to provide real time data and forecasts for marine environmental conditions in the Greek Seas. In this paper, we present four case studies based on realistic scenarios that show the value of the application for long-term strategic planning and short-term decision making in oil spill accidents.     

结构动力反应分析的三阶显式方法

本通过对传统动力反应分析方法的总结，阐明了建立隐式和显式方法的一般思路及数学本质，提出了使用系统位移反向向量三阶导数的隐工和实用显式积分方法－3阶显式方法，分析了该显式方法的精度和稳定性，并对建立更高阶隐式和显式方法以及方法的精度和稳定性作了初步讨论。最后，通过算例对本方法、献[1]方法和经典的常平均加速度法（隐式方法、视为精确解）的精度和稳定性进行了比较分析。结果表明，本方法具有明显的优点。     

Comparison of LiDAR waveform processing methods for very shallow water bathymetry using Raman,near‐infrared and green signals

Airborne light detection and ranging (LiDAR) bathymetry appears to be a useful technology for bed topography mapping of non‐navigable areas, offering high data density and a high acquisition rate. However, few studies have focused on continental waters, in particular, on very shallow waters (<2 m) where it is difficult to extract the surface and bottom positions that are typically mixed in the green LiDAR signal. This paper proposes two new processing methods for depth extraction based on the use of different LiDAR signals [green, near‐infrared (NIR), Raman] of the SHOALS‐1000T sensor. They have been tested on a very shallow coastal area (Golfe du Morbihan, France) as an analogy to very shallow rivers. The first method is based on a combination of mathematical and heuristic methods using the green and the NIR LiDAR signals to cross validate the information delivered by each signal. The second method extracts water depths from the Raman signal using statistical methods such as principal components analysis (PCA) and classification and regression tree (CART) analysis. The obtained results are then compared to the reference depths, and the performances of the different methods, as well as their advantages/disadvantages are evaluated. The green/NIR method supplies 42% more points compared to the operator process, with an equivalent mean error (?4·2 cm verusu ?4·5 cm) and a smaller standard deviation (25·3 cm verusu 33·5 cm). The Raman processing method provides very scattered results (standard deviation of 40·3 cm) with the lowest mean error (?3·1 cm) and 40% more points. The minimum detectable depth is also improved by the two presented methods, being around 1 m for the green/NIR approach and 0·5 m for the statistical approach, compared to 1·5 m for the data processed by the operator. Despite its ability to measure other parameters like water temperature, the Raman method needed a large amount of reference data to provide reliable depth measurements, as opposed to the green/NIR method. Copyright © 2010 John Wiley & Sons, Ltd.     

基于TRMM数据的鄱阳湖流域降雨时空分布特征及其精度评价

基于1998-2007 年热带测雨卫星(TRMM) 3B42 V6 降雨数据分析鄱阳湖流域降雨时空分布特征, 并利用40个气象站观测日降雨数据对TRMM数据在不同子流域、不同降雨强度及不同季节里的精度进行了对比分析, 弥补了以往只评价整体精度的不足。结果显示:鄱阳湖流域北部地区修水、饶河子流域较易出现暴雨, 导致雷达信号衰减, 使TRMM对大雨强降雨的探测出现较大偏差;流域内降雨以10~50 mm为主, 其雨量占到总雨量的60%;流域降雨在年内1-3 月中旬为干旱少雨期, 3 月下旬-9 月初为湿润多雨期, 9-12 月再次进入干旱少雨期;而空间分布呈东、西部大, 中部小的格局;同时发现, 在赣南山区TRMM降雨较观测雨量低300~400 mm, 这可能受高程和坡度的影响, 使TRMM对山区降雨的探测精度也出现较大偏差。     

地理学的主要任务与研究方法——从整个科学体系的视角看地理科学的发展

所有科学的主要任务都是建立数学模型,如果地理学想要发展成为一门标准科学——而不是走"例外主义"的道路,根据简单的逻辑法则可以判断,地理学的主要任务也是建立数学模型。现代科学研究的方法包括数学理论、实验室实验和计算机模拟,其中数学方法和模拟实验必将是地理学研究的主要方法;至于实验室实验,可用调查取证进行有限度的补充。未来地理研究的数学规范化和定量分析主要借助后现代数学工具(分形几何学和混沌数学等),而模拟实验则需要倚重仿生数学理论和模型。     

基于数学形态学的位场数据边缘增强方法

位场数据边缘增强对于地质构造研究和矿床勘查具有重要意义。现有的边缘增强方法多数基于位场数据的导数构建,往往存在对噪声敏感的缺点,且处理结果中常有虚假边界的出现。本文基于数学形态学良好的形状分析和噪声压制性能,通过数学形态学基本算子的组合叠加,提出了一种新的位场数据边缘增强方法。该方法容易实现,且不需要计算位场数据的水平和垂向导数。板状体模型试验结果表明,该方法能有效地对重力异常和化极后的磁异常数据进行边缘增强。针对三维模型试验中正负异常同时存在的情况,相比以往几种方法,该方法输出的边缘更清晰且没有额外边缘的产生,并表现出更强的抗噪能力。最后将该方法和以往几种方法应用到老挝万象地区实际重力异常数据的处理中,结果显示该方法刻画出的边缘更加连续清晰;同时结合以往地质资料,推断了成矿的有利部位。     

High‐Precision Measurement of 187Os/188Os Isotope Ratios of Nanogram to Picogram Amounts of Os in Geological Samples by N‐TIMS using Faraday Cups Equipped with 1013 Ω Amplifiers

N(¹⁸⁷Os)/N(¹⁸⁸Os) ratios of six geological reference materials were measured using static Faraday cups (FCs) with 10¹³ Ω amplifiers by N‐TIMS. Our results show that the repeatability precision was 2–3‰ (2 RSD, n = 3), when taking ~ 1 g of BHVO‐2 with 76 pg g^?1 of Os mass fraction and ~ 2 g of BCR‐2 with 21 pg g^?1 of Os mass fraction for each sample, whether measured by FCs or by secondary electron multiplier. The repeatability precision measured by FCs was 1–0.2‰ (2 RSD, n = 3) when taking ~ 1 g of BIR‐2 with 350 pg g^?1 of Os mass fraction, ~ 1 g of WGB‐1 with 493 pg g^?1 of Os mass fraction or ~ 0.5 g of WPR‐1 with 13.3 ng g^?1 of Os mass fraction for each sample, which is much better than those measured by secondary electron multiplier. Instead, when taking ~ 2 g of AGV‐2 with 4 pg g^?1 Os mass fraction, the repeatability precision measured by secondary electron multiplier is 3–4‰ (RSD, n = 3), which is better than those measured by FCs. Of the six reference materials analysed, WPR‐1 and BIR‐1a are the most homogeneous with regard to Os isotopic composition (2 RSD of 0.08% and 0.23%, respectively) when test portion masses are 0.5–1 g.