基于RAMS/CFORS Ⅱ模式一次低空核试验放射性烟云扩散的数值模拟

采用RAMS／CFORS Ⅱ模式模拟了一次低空核试验烟云的传输和沉降过程。CFORS Ⅱ模式是在RAMS／CFORS模式的基础上开发的,可用于对核试验放射性烟云长距离输送和沉降过程的模拟研究。模拟表明：对流层中低层的低压槽系统对本次低空核试验烟云的水平传输和垂直扩散起着重要的影响作用;烟云的长距离传输速度呈现出随高度递减而减小的趋势,在6000m以上,烟云在爆后48h即东移入海,6000m以下,烟云在中国大陆的扩散和沉降维持了5d以上;爆后2天内以大粒子沉降为主,其后以小粒子沉降为主,小粒子的放射性远小于大粒子,在爆后第4天,放射性沉降就减小了3个量级,而小粒子的沉降范围是大粒子的5倍以上。通过模拟和观测对比表明,模拟结果基本符合实际烟云的传输和沉降态势。     

CORS系统在航空重力测量地面GNSS基站解算中的应用

航空重力测量是以飞机为载体,快速、高效获取大面积中、高频地球重力场信息的航空物探测量方法。航空重力测量技术的商业化运行归功于动态差分GNSS定位技术的成熟,使得载体的动态定位、动态测速和加速度解算精度大大提高,而差分GNSS技术解算载体动态定位的精度又依赖于地面基准站坐标精度。在实际作业中,通过组建控制网并设立地面GNSS基站,联测国家GNSS控制点,不仅需要花费较多的经济成本和时间成本,而且在人迹罕至的沼泽、高原、荒漠无人区以及远离大陆的海岛礁地区,这种方法都面临很大的困难。随着我国CORS站建设的不断深入,CORS系统精度和网度不断提高,利用CORS站数据,通过GAMIT等软件进行地面GNSS基站解算来确定其准确坐标位置的方法成为一种新趋势。本文以某测区实际数据为例,对比分析了两种方法得到的基站坐标精度及对重力测量结果的影响,介绍了CORS系统在航空重力测量地面GNSS基站解算中的应用效果,说明利用CORS系统解算不仅满足航空重力测量精度要求,而且能够提高工作效率。     

Grid pattern recognition in road networks using the C4.5 algorithm

Pattern recognition in road networks can be used for different applications, including spatiotemporal data mining, automated map generalization, data matching of different levels of detail, and other important research topics. Grid patterns are a common pattern type. This paper proposes and implements a method for grid pattern recognition based on the idea of mesh classification through a supervised learning process. To train the classifier, training datasets are selected from worldwide city samples with different cultural, historical, and geographical environments. Meshes are subsequently labeled as composing or noncomposing grids by participants in an experiment, and the mesh measures are defined while accounting for the mesh’s individual characteristics and spatial context. The classifier is generated using the C4.5 algorithm. The accuracy of the classifier is evaluated using Kappa statistics and the overall rate of correctness. The average Kappa value is approximately 0.74, which corresponds to a total accuracy of 87.5%. Additionally, the rationality of the classifier is evaluated in an interpretation step. Two other existing grid pattern recognition methods were also tested on the datasets, and comparison results indicate that our approach is effective in identifying grid patterns in road networks.     

The Air-Coastal Sea Chemical Exchange: A Case Study on the New Jersey Coast

The coastal marine atmosphere adjacent to large urban and industrial centers is in general strongly impacted by pollution emissions, resulting in high loading of pollutants in the ambient air. Among the airborne substances are certain trace elements from a variety of emission sources that can serve as micronutrients to marine organisms in coastal waters. High concentrations of such elements in coastal air can result in enhanced air-to-sea deposition fluxes to coastal waters. They could also be transported over the open ocean, affecting the composition of the remote marine atmosphere and then ocean ecosystems. To provide better understanding of the extent of air-to-sea deposition processes on the New Jersey coast, a heavily polluted coastal region on the US East Coast, a synthesis of observation data was carried out for selected trace elements, including Fe, Cd, Cr and Cu, derived from measurements of both size-segregated and bulk aerosol particles, as well as precipitation around the New Jersey coast. The atmospheric input of Hg was also estimated based on measurement data. Results indicated that the total deposition fluxes of most trace elements were higher in Northern coastal NJ compared to Southern coastal NJ, reflecting the differences in the source strengths of these element emissions between the two coastal regions. Dry deposition processes were more significant for common dust-derived elements, particularly Fe and Al, compared with their wet deposition fluxes. However, the processes of precipitation scavenging appeared to be more important for the elements that were often enriched in fine particles including Zn, Cu, Pb and Ni. The removal of Hg from the ambient air was overwhelmingly dominated by atmospheric wet deposition. In the future, atmospheric measurements at more sites on the NJ coast should be performed simultaneously to reduce the spatial and temporal uncertainties associated with atmospheric deposition fluxes estimated in this study.     

Effects of Column Diameter on Setting Behavior of Dredged Slurry in Sedimentation Experiments

This article investigates the influence of dimensions of a settling column on the settling mode and the settling rate. End conditions of the settling stage in the hindered settling were also analyzed. It was found that the settling mode in a column with a smaller diameter tends to be consolidation settling. The effect of a settling column wall decreases with increasing column diameter, and it can be ignored provided the column diameter is larger than 14.5 centimeters. For the difference in initial water content, the settling behavior of the slurry develops a different sensitivity to the diameter effect. The influence of column diameter reduces as the initial water content of the slurry becomes higher. It is suggested that the internal diameter of the column used in a sedimentation experiment should be 14.5 centimeters.