Morphological analysis and recognition of scanned raster nautical chart

In current practice in the development of hydrographic information systems, the automatic acquisition of spatial data has been considered to be very difficult. One of the key problems is recognition and correct separation of a feature from a complex graphic background. For these problems, this article presents a new concept of graph subsets to describe graph structures and composition rules of symbols in nautical charts. Based on this concept, morphological methods and operations in graph theory are unified into a coherent mathematical framework specially designed for analysis and recognition of binary chart images. In particular, an experimental system composed of feature extraction, symbol recognition, geometric reasoning, and intelligent control is developed for automatic digitization of nautical charts.     

TGR-2050型自动验潮仪的使用

剖析了TGR-2050自动验潮仪的工作原理,分析了影响测量精度的各种误差因素,指出该仪器设计上的缺陷,并给出实例,介绍了进行大气压改正的方法,得出了有益结论。     

义县地震站地电阻率数字化观测的干扰因素分析

主要利用锦州义县地震站"十五"观测以来的数字化地电阻率整点值资料,对观测中常见的干扰因素进行了详细的识别与归类。研究结果表明:在地电阻率观测过程中存在雷电干扰、降雨干扰、观测系统故障、标定干扰等。     

地壳形变分析的总体最小二乘配置方法

针对地壳形变问题中观测向量和趋势项系数矩阵均含有误差的情况,研究了总体最小二乘配置平差方法,在广义总体最小二乘准则下推导了具体的解算公式和迭代算法。利用模拟的地壳水平形变和2009年意大利L’Aquila实际地震数据进行分析,结果表明,总体最小二乘配置与传统的最小二乘配置方法在地壳形变分析中的效果基本一致,并给出了相关的理论依据。     

巷道地质编录三维空间数字化及投影变换算法

本文以提高矿山地、测、采计算机管理与辅助设计质量和效率为基本目标,根据矿山地测数据处理的一般流程,从巷道地质编录图件出发,建立基于井下测量数据的巷道地质编录三维空间数字化及投影变换算法;在此基础上,研制了一套符合矿山生产实际的地质编录智能分析系统,实现了巷道地质编录图件的数字化及自动成图。     

Errors within the Inverse Distance Weighted (IDW) interpolation procedure

Interpolation procedure is broadly used in sciences that are concerned with spatial data and continuous phenomena that can be depicted on a spatial surface. Interpolation makes use of sampling data, which is accurate and qualitative, in order to produce a continuous representation of the phenomenon in question. The data's accuracy is transferred by the procedure to its results and should be known. This paper examines error propagation by the interpolation procedure, using the Inverse Distance Weighted (IDW) method in the case of the Earth's relief.     

Application of Backward Nonlinear Local Lyapunov Exponent Method to Assessing the Relative Impacts of Initial Condition and Model Errors on Local Backward Predictability

Initial condition and model errors both contribute to the loss of atmospheric predictability. However, it remains debatable which type of error has the larger impact on the prediction lead time of specific states. In this study, we perform a theoretical study to investigate the relative effects of initial condition and model errors on local prediction lead time of given states in the Lorenz model. Using the backward nonlinear local Lyapunov exponent method, the prediction lead time,also called local backward predictability limit(LBPL), of given states induced by the two types of errors can be quantitatively estimated. Results show that the structure of the Lorenz attractor leads to a layered distribution of LBPLs of states. On an individual circular orbit, the LBPLs are roughly the same, whereas they are different on different orbits. The spatial distributions of LBPLs show that the relative effects of initial condition and model errors on local backward predictability depend on the locations of given states on the dynamical trajectory and the error magnitudes. When the error magnitude is fixed, the differences between the LBPLs vary with the locations of given states. The larger differences are mainly located on the inner trajectories of regimes. When the error magnitudes are different, the dissimilarities in LBPLs are diverse for the same given state.     

集合预报误差在GRAPES全球四维变分同化中的应用研究Ⅱ：参数选取与数值试验

研究的第一部分讨论了如何有效应用集合预报误差的科学方案,确定了集合预报误差在GRAPES（Global Regional Assimilation and PrEdiction System）全球4DVar（four dimensional variational data assimilation）中应用的分析框架。在此基础上研究了针对集合预报误差实际应用于GRAPES全球4DVar,解决接近或超过100个集合样本数时高效生成的计算效率问题,以及与GRAPES全球4DVar匹配的同化关键参数确定问题。选择基于4DVar的集合资料同化方法生成集合样本,通过将第1个样本极小化迭代过程中产生的预调节信息用于其他样本极小化做预调节,将计算效率提高了2倍。通过时间错位扰动方法增加集合样本数,实现集合样本增加到3倍。对集合方差进行膨胀,并选择水平局地化相关尺度为流函数背景误差水平相关的1.4倍。通过批量数值试验方法确定背景误差与集合预报误差的权重系数,对60个集合样本当集合预报误差权重为0.7时预报效果最好。对北半球夏、冬两季各52 d的批量试验表明,对于南、北半球En4DVar （ensemble 4DVar）较4DVar的改进在冬季主要集中在700—30 hPa,而在夏季主要集中在400—150 hPa。赤道地区受季节影响较小,En4DVar对位势高度、风场与温度的改进都较为明显,且经向风场的改进最为显著。文中研发的集合预报误差在GRAPES全球4DVar中应用的方法合理可行。      

航空地球物理勘探资料微调平处理

航空物探测量中测线间水平往往存在差异,表现为沿测线方向的条带。调平处理旨在减少或消除测线间的水平差,是航空物探资料处理中的关键,对航空物探资料处理和解释具有重要作用。笔者以实际的航磁资料处理为例,详细介绍了航空物探资料微调平处理的原理与实现。微调平处理中首先通过方向滤波从原始资料中提取噪声网格,并按飞行测线提取噪声网格中的数据并分离有用的地质信息,最终将分离后的测线水平误差从原始资料中去除得到调平后资料,以此实现航空物探资料的微调平处理。同时,针对资料处理中遇到的诸如滤波器选取、异常分离阈值确定、最终调平效果检验等实际问题进行讨论,这对理解微调平并应用于实际资料处理均具有意义。