Vol18 No.4: 1049-1061
【Title】A multi-source data fusion modeling method for debris flow prevention engineering
【Author】XU Qing-yang, YE Jian*, LYU Yi-jie
【Addresses】Faculty of Geoscience and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China
【Corresponding author】YE Jian
【Citation】Xu QY, Ye J, Lyu YJ (2021) A multi-source data fusion modeling method for debris flow prevention engineering. Journal of Mountain Science 18(4). https://doi.org/10.1007/s11629-020-6332-8
【Abstract】The Digital Elevation Model (DEM) data of debris flow prevention engineering are the boundary of a debris flow prevention simulation, which provides accurate and reliable DEM data and is a key consideration in debris flow prevention simulations. Thus, this paper proposes a multi-source data fusion method. First, we constructed 3D models of debris flow prevention using virtual reality technology according to the relevant specifications. The 3D spatial data generated by 3D modeling were converted into DEM data for debris flow prevention engineering. Then, the accuracy and applicability of the DEM data were verified by the error analysis testing and fusion testing of the debris flow prevention simulation. Finally, we propose the Levels of Detail algorithm based on the quadtree structure to realize the visualization of a large-scale disaster prevention scene. The test results reveal that the data fusion method controlled the error rate of the DEM data of the debris flow prevention engineering within an allowable range and generated 3D volume data (obj format) to compensate for the deficiency of the DEM data whereby the 3D internal entity space is not expressed. Additionally, the levels of detailed method can dispatch the data of a large-scale debris flow hazard scene in real time to ensure a realistic 3D visualization. In summary, the proposed methods can be applied to the planning of debris flow prevention engineering and to the simulation of the debris flow prevention process.
【Keywords】Debris flow prevention; Level of detail; Debris flow simulation; Multiplatform fusion; Multisource data fusion