Quality Assessment of an Automatic Sounding Selection Process for Navigational Charts

A good seabed representation is one of the important characteristics of any navigational chart. Along with depth contours and coloured depth areas, soundings are used for this task. All the soundings on a navigational chart are selected for a reason. Soundings contribute to the navigational chart safety aspect by alerting to all the threats and dangers. They also show all the attributes of a seabed relief without overcrowding it, thus maintaining the overall chart quality. Soundings are selected from a hydrographic survey and since it consists of a vast number of data, the process of sounding selection is a challenging and demanding task. It requires experience and knowledge from the nautical cartographer and is mostly done manually. Some types of software nowadays provide an automatic selection feature. This paper analyses a process of automatic sounding selection in the dKart Editor software. On the Croatian side of the Adriatic Sea, ?ibenski Kanal (?ibenik channel) and Kanal Sv. Ante (St. Ante’s channel) are used as the study area. A hydrographic survey of the area represents the input data. The official navigational chart of the surveyed area is used as the basis for determining three different sets of parameters for the selection process. After the selection, obtained results are assessed based on geometrical accuracy and on the conservation level of navigational safety. For geometrical accuracy, the best results were produced by the third set that was divided in two subsets for each channel. It was determined that the nature of the seabed relief had an impact on the selection process. The same set had the best result for navigational safety assessment but it was concluded that all the sets undermined the aspect. Because of these crucial shortcomings noticed in all the tested sets of parameters, the feature is considered inadequate for serious usage as a completely automatic tool for the process of sounding selection on navigational charts.     

多源遥感数据快速自动处理技术探讨

甘肃省地图院利用国内外先进的现代测绘技术,构建了集地理信息采集、处理、贮存、管理于一体的信息化测绘生产体系,完成了信息化测绘生产基地的构建[1]。多源遥感数据快速自动处理技术应用研究是信息化测绘生产技术应用研究的一方面,主要是利用以信息化测绘生产基地为依托的遥感影像集群数据处理系统完成。本文主要探讨如何快速自动处理多源遥感数据,并以ADS80数据为例,对集群系统构建前后的效率进行对比实验。     

基于PPM硬判决的ARQ-FSO系统误码性能分析

基于PPM（Pulse Position Modulation）硬判决检错的ARQ-FSO（Automatic Repeat Request-Free Space Optical）通信系统结合了PPM硬判决和新的ARQ协议.该系统以PPM硬判决的结果代替了传统ARQ的监督码元作为数据的检错依据,同时只重传数据包里面译码失败部分的PPM符号,消除了传统ARQ中用来检错的信息冗余,提高了系统的效率.理论分析表明该方案能够有效地改善硬判决误码率,其通过率也优于传统ARQ,适用于较低误码率、低复杂度的自由空间光通信场景.     

不透水地表盖度视角下中美城市群空间结构对比——以“京津冀”与“波士华”为例

将城市不透水地表盖度产品应用于城市群空间结构研究具有重要价值。本文基于多源遥感数据提取了“京津冀”与“波士华”城市群近40年（1972-2011年）亚像元级不透水地表专题信息,构建了城市群空间结构对比分析数据集;并引入引力模型和景观格局理论,利用引力指数、景观格局指数以及空间结构参数等,采用地理信息系统空间分析方法,从城市群与城市两个尺度对城市群空间结构进行了对比研究。结果表明：① “京津冀”城市群不透水地表快速增长,而“波士华”城市群较为稳定;② “京津冀”城市群空间结构经历了城市孤立发展阶段、双核心城市群阶段、城市群组阶段以及城市群网络化阶段,“波士华”城市群空间结构较为稳定,空间结构呈现出“点—轴”带状分布;③ 中国城市不透水地表盖度“高—高”聚集区呈现出典型团块状“摊大饼”形态,而美国城市呈现出一种“多中心集聚、分散成组”的态势;④ “京津冀”城市群生态、生产与生活用地不透水地表面积占比均高于“波士华”城市群。最后,基于两国城市群空间结构的对比结果,从空间布局优化角度对“京津冀”城市群的发展提出了初步建议。     

武汉市轻轨交通一号线一期工程纵横断面测量技术

在阐述了纵横断面野外数据采集的方法后，在AutoCAD2000环境下，利用所编写的二次开发软件，实现了纵横断面的自动绘制，并自动生成了纵横断面的电子文档。     

怀来2井水氡前兆异常特征分析

首先介绍了1998年张北6．2级地震前怀来2井水氡的异常变化，又根据水氡异常与京西地区几次中强震的对应情况，归纳出怀来2井的水氡前兆异常特征；形态为下降一上升型，异常对应范围120－160km；异常出现后28－55d发震等。     

唐山7.8级地震前后地下流体动态异常演化特征

以30口水动态及油井动态观测井1973年至1978年的观测资料为基础，对唐山7．8级地震前后水动态和油井动态异常的演化过程进行了分析研究，认为该次地震前后水动态演化过程可分为4个阶段。异常首先在震中区附近出现，然后异常区向外围区扩展，并呈现多点集中的特点。在中短期阶段异常明显向震中区收缩、迁移。在临震阶段在震中区附近形成高异常集中区。     

内生热液矿床与天然气水合物矿床形成机制的比较研究——以美国卡林矿带金矿床与布莱克高原水合物矿床为例

通常，人们仅习惯于将地质矿产分为内生和外生2大类分别进行研究，而很少将二者联系起来做进一步的比较研究，并探讨它们在形成机制上的异同之处，从而影响了成矿理论的完整性，给矿产地质勘探造成了一定的负面影响，为此，作者试图以美国的卡林金矿带和布莱克海底高原的天然气水合物矿床为例开展矿床分布、成矿条件和成矿特征等方面的系统研究，探讨内生热液矿床与天然气水合物矿床形成机制上的差异与共性，揭示某些内生热液矿床与外生矿床成矿演化的相似性，为进一步完善成矿理论、指导矿产资源的合理开发提供科学依据。     

陕北浅层石油钻井的固控问题

通过计算对比，说明钻井过程的钻屑量，泥浆泵与钻杆的级配问题及钻井过程团相含量高的危害，对固相含量的要求，提出控制固相含量的措施等。     

Markov chain Monte Carlo methods for conditioning a permeability field to pressure data

Generating one realization of a random permeability field that is consistent with observed pressure data and a known variogram model is not a difficult problem. If, however, one wants to investigate the uncertainty of reservior behavior, one must generate a large number of realizations and ensure that the distribution of realizations properly reflects the uncertainty in reservoir properties. The most widely used method for conditioning permeability fields to production data has been the method of simulated annealing, in which practitioners attempt to minimize the difference between the ’ ’true and simulated production data, and “true” and simulated variograms. Unfortunately, the meaning of the resulting realization is not clear and the method can be extremely slow. In this paper, we present an alternative approach to generating realizations that are conditional to pressure data, focusing on the distribution of realizations and on the efficiency of the method. Under certain conditions that can be verified easily, the Markov chain Monte Carlo method is known to produce states whose frequencies of appearance correspond to a given probability distribution, so we use this method to generate the realizations. To make the method more efficient, we perturb the states in such a way that the variogram is satisfied automatically and the pressure data are approximately matched at every step. These perturbations make use of sensitivity coefficients calculated from the reservoir simulator.