基于AR（p）的卡尔曼滤波在GPS变形监测中的应用

由于AR（p）模型结构比较简单且计算比较方便,在变形分析中,目前常采用此模型建立变形模型。然而单纯的AR模型把模型参数作为定值,变形数据拟合误差及变形预测误差可能会比较大。介绍了将卡尔曼滤波引入AR模型,利用观测数据建立AR模型,即建立观测方程;以AR模型的参数为状态向量建立状态方程。从而形成动态系统的卡尔曼滤波函数模型,动态计算出AR模型的参数以便预测。此方法快速、实时,且占有较少内存,充分利用了AR模型和卡尔曼滤波二者的优点。     

如何撰写地质科技论文（2）——地质科技论文的引言部分

文章详细论述了如何撰写地质调研类科技论文的中心报告部分,引出中心报告的次一级组织结构形式——分述结构,并详细讨论了分述结构组成的各部分的写作内容和写作技巧,最后辅以实例进行分析点评。     

Field Measurement of Suction, Water Content, and Water Permeability

This paper presents a review of techniques for field measurement of suction, water content, and water hydraulic conductivity (permeability). Main problems in the use of field tensiometers are addressed and hints on how to improve tensiometer performance are given. Advantages and limitations of instruments for indirect measurement of suction including electrical conductivity sensors, thermal conductivity sensors, dielectric permittivity sensors, filter paper, and psychrometer are discussed. Techniques for water content measurement based on dielectric methods are then presented. These include time and amplitude domain reflectometry and capacitance. Finally, a brief overview of methods for measurement of water permeability in the field is presented.     

不同过滤条件下黄色物质的吸收光谱演化特征分析

在实验室对青岛近岸现场水样进行处理、分析,获得了原始状态下水样和被过滤（0.22μm,0.45μm）黄色物质水样的吸收光谱数据,除进一步验证了黄色物质光谱分布模式外,还测得黄色物质光吸收随滤膜孔径的变化。30个现场样品在波长380nm处吸收系数统计平均值^—Ay（380）分析表明,当使用0.45μm过滤器对水样进行处理,所获得的^—Ay（380）值要比未经过处理的现场水样所测得的^—Ay（380）值高约2.1％;而用0.22μm过滤器对现场水样进行处理,所获得的^—Ay（380）值要比未经过处理的现场样品所测得的^—Ay（380）值高约12．6％,要比用0．45μm过滤器处理的现场样品所测得的^—Ay（380）值高约10.3％,这些数据的获得为现有已获黄色物质数据的“归一化”和统一评判以及未来黄色物质测量数据的准确性判断与比较提供了参考。     

1992～2011年四川省地震局学术论文统计分析

以中国知网期刊全文数据库（CNKI）和维普科技期刊全文数据库为基础,统计分析了四川省地震局1992～2011年期间发表的地震期刊中文学术论文的情况。四川省地震局20年间共计发表论文1171篇,平均每年产出地震期刊学术论文58．5篇,以四川省地震局为第一署名单位论文925篇,平均每年46篇,论文数量逐年分布呈上升趋势,且与强震活动相关;论文刊载于74种中文科技期刊,总频次大于20次的高频期刊有8个;论文基金资助率逐年增加。论文统计结果显示四川地震科技研究工作一直在持续进步,在科技发展的主动性和创新性以及基层台站科研方面需进一步加强。     

Particle Filter-based assimilation algorithms for improved estimation of root-zone soil moisture under dynamic vegetation conditions

In this study, we implement Particle Filter (PF)-based assimilation algorithms to improve root-zone soil moisture (RZSM) estimates from a coupled SVAT-vegetation model during a growing season of sweet corn in North Central Florida. The results from four different PF algorithms were compared with those from the Ensemble Kalman Filter (EnKF) when near-surface soil moisture was assimilated every 3 days using both synthetic and field observations. In the synthetic case, the PF algorithm with the best performance used residual resampling of the states and obtained resampled parameters from a uniform distribution and provided reductions of 76% in root mean square error (RMSE) over the openloop estimates. The EnKF provided the RZSM and parameter estimates that were closer to the truth than the PF with an 84% reduction in RMSE. When field observations were assimilated, the PF algorithm that maintained maximum parameter diversity offered the largest reduction of 16% in root mean square difference (RMSD) over the openloop estimates. Minimal differences were observed in the overall performance of the EnKF and PF using field observations since errors in model physics affected both the filters in a similar manner, with maximum reductions in RMSD compared to the openloop during the mid and reproductive stages.     

适用于快速远程检测海水中氰化物的方法研究

建立了一种适用于海洋远程快速检测氰化物的检测方法,设计了一体化检测装置,未来可搭载到无人艇上实现自动快速检测。针对最佳检测条件进行了一系列优化,得到最佳检测条件:对于100 mL的待测样品,加入酒石酸固体1.5 g;用1～2滴浓度为150 g/L的碳酸钠溶液浸润苦味酸试纸;加热温度80℃,加热时间10min。在最佳检测条件下,检测检出限达0.3mg/L。该方法实现了适用于海水氰化钠的远程检测,大大提高了检测效率,无需人员进入污染现场,安全性高。可广泛用于海洋危化品泄漏、湖泊污染、现场应急筛选等场合的水体样品快速检测。     

基于CEI的飞船交会对接远程导引段的轨道确定方案

探讨了CEI技术在飞船交会对接远程导引段的高精度定轨与实时监控的能力。仿真结果表明:精密定轨中采用可视弧段较长的单站可使相对位置精度达百米以内,速度达厘米/秒级。采用单一绝对扩展卡尔曼滤波器的方案进行实时轨道计算,采用滤波稳定后固定模糊度的方法可以使相对轨道位置精度达十米级,速度精度达厘米/秒级,事后及实时的轨道精度均满足远程导引段的精度指标。     

基于地磁场的自主导航研究

研究了基于地磁场的自主导航,建立了以卫星轨道动力学方程为基础的系统状态方程,并详细推导了以地磁场大小和地磁场矢量为观测量时的观测方程.由于系统的非线性,传统的卡尔曼滤波无能为力,为了解决系统的非线性问题把常用来解决非线性问题的EKF引入到基于地磁场的自主导航系统中.最后用Matlab对基于地磁场的自主导航系统进行了仿真,仿真结果表明EKF有很好的收敛性和稳定性,以地磁场矢量为观测量的导航精度要远高于以地磁场大小为观测量的导航精度.     

The Ensemble Kalman Filter: theoretical formulation and practical implementation

The purpose of this paper is to provide a comprehensive presentation and interpretation of the Ensemble Kalman Filter (EnKF) and its numerical implementation. The EnKF has a large user group, and numerous publications have discussed applications and theoretical aspects of it. This paper reviews the important results from these studies and also presents new ideas and alternative interpretations which further explain the success of the EnKF. In addition to providing the theoretical framework needed for using the EnKF, there is also a focus on the algorithmic formulation and optimal numerical implementation. A program listing is given for some of the key subroutines. The paper also touches upon specific issues such as the use of nonlinear measurements, in situ profiles of temperature and salinity, and data which are available with high frequency in time. An ensemble based optimal interpolation (EnOI) scheme is presented as a cost-effective approach which may serve as an alternative to the EnKF in some applications. A fairly extensive discussion is devoted to the use of time correlated model errors and the estimation of model bias.Responsible Editor: Jörg-Olaf Wolff