Multi-scale Data Organization And Visualization Of Lithospheric Plates Based On SDOG

Earth's surface lithosphere is not only the most important place of human life for production activities, but also is activity areas which bring a major disaster to human, and some natural disasters occur in the depth of 20km range of the shallow lithosphere, such as earthquakes, landslides, mudslides, tsunamis, typhoons, floods, volcanic eruptions. Human can only have a correct understanding of it, rational development and protect it to ultimately protect the man himself.In this paper, the current three-dimensional structure of the lithosphere research Status, such as plane and profile the performance of the original form is difficult to visually complex three-dimensional lithospheric structure; prism, triangular prism and other generalized three-dimensional and so on of European space true three-dimensional geological modeling and data organization method for expressing a wide range of rock deformation ring structure exists the data do not accurately measure cracks and problems; Manifold space based on the direct sphere of expression and the existence of space dimensions of the problem of inadequate, Yin and Yang grid-based representation model three-dimensional sphere there are also non-orthogonal spherical grid to increase the numerical complexity of the problem。The following research work carried out bases on in full knowledge of existing data of the sphere of lithospheric plate, multi-level, multi-resolution and dynamic expansion and other characteristics of Sphere degradation octree grid (SDOG).1. The lithosphere plate details hierarchical model table design and data collection. According to the current of lithosphere data of already publicly and SDOG grid visualization, design multi-level lithosphere model table, and collect data.2. Preprocessing of lithosphere plate data. Preprocessing of multi-source heterogeneous lithosphere data based on SDOG, and convert to longitude-latitude geographical format.3. Organization of pretreatment data. Design struction of data content, organization of longitude-latitude geographical data, and deposited in the relational database. 4. The lithosphere plate modeling and data organization. Longitude-latitude geographical data convert to SDOG format and model lithosphere plate. Design entity content, coding-attribution content.Innovation points of this paper:Design the lithosphere plate data structure of before and after of modeling based on SDOG grid, have certain feasibility, and verified in visualization experiment, also have expansibility to add field.