基于无人机摄影测量技术的地震地表破裂带定量参数提取以1709年中卫南M7½地震为例

Using UAV photogrammetry technology to extract the quantitative parameters of earthquake surface rupture zone:A case study of the southern Zhongwei M7½ earthquake in 1709

  • 摘要: 本文首先介绍了无人机摄影测量技术获取数字高程模型(digital elevation model,缩写为DEM)和地貌数据(正射影像)的作业流程,对比分析了三种不同质量密集点云生成的DEM在水平位置和高程上的差异;然后以1709年中卫南M7½大地震的主体地表破裂带为例,提取其上地震断层的垂直位错量和水平位移量。研究结果显示:高质量密集点云生成的DEM分辨率可达厘米级,且处理时间不需太长,其水平位置和高程与另外两种质量密集点云生成的DEM差异均小于0.100 m;基于高质量密集点云可生成6.33 cm/pix分辨率的DEM,提取1709年中卫南地震地表破裂带上地震断层的垂直位错量为(0.704±0.293) m,水平位移量为5.1 m,与前人的研究结果相吻合,因此可以代表该地震的同震位移,这表明无人机摄影测量技术能够获取地震地表破裂带典型场点的高分辨率地形地貌数据,并基于生成的DEM可进一步提取地震断层的定量参数。

     

    Abstract: This paper firstly introduces the operation flow for obtaining digital elevation model (DEM) and geomorphic data (digital orthophoto map) by unmanned aerial vehicle (UAV)photogrammetry technology, and compares and analyzes the differences in horizontal position and elevation of DEM generated by three kinds of dense point clouds with different masses. Then, the vertical and horizontal displacements of seismic faults on the main surface rupture zone of the south of Zhongwei M7½ earthquake in 1709 were extracted. The results showed that, as for the DEM generated by dense point cloud of high quality, its resolution was in centimeters, and the processing time was not too long. Compared with DEM generated from the other two kinds of dense point clouds, the difference in horizontal position and elevation is less than 0.100 m. Based on high quality dense point cloud we can generate the DEMs with resolution of 6.33 cm/pix, extract the vertical dislocation of the fault on the surface rupture of 1709 earthquake as long as (0.704±0.293) m, horizontal displacement of 5.1 m, which was consistent with previous studies and therfore represented the co-seismic slip of the 1709 earthquake. This suggests that by the UAV photogrammetry technology we can obtain high resolution topography data of typical sites on the earthquake surface rupture zone, and seismic fault quantitative parameters can be further extracted based on the generated DEM.

     

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