多模态传感器系统在河槽边坡地貌测量中的应用

Application of Multimodal Sensor System in Channel Slope Topographic Surveying

河槽边坡地形的观测是河流边坡侵蚀和稳定性研究的基础。2016年洪季,利用三维激光扫描仪、多波束测深系统、RTK、差分GPS等仪器组成的多模态传感器系统,对长江下游铜陵段窝崩边坡和马鞍山段侵蚀型河漫滩边坡进行了联合地貌测量,对边坡陆上、水下高精度三维地形点云数据进行了融合研究,成功实现了边坡陆上水下三维地形的一体化和可视化。结果表明,多模态联合测量手段及三维点云融合方法能够获取较高分辨率的河流边坡陆上与水下一体化三维地貌模型,利用该模型可对边坡整体地貌特征进行定量计算分析,实现对河流险段的监测与稳定性评估,具有一定的工程意义。

Measurements in topographic of channel slope are the foundation of bank erosion and stability study. We deployed integrated SeaBat-7125 muhi-beam sonar, Riegl VZ-4000 terrestrial laser scanner,Trimble DGPS and RTK to build a multimodal sensor system to directly measure morphological characteristics of channel slope in Tongling and Ma＇anshan reaches of the Yangtze River.We integrated the point cloud data of submerged portions of the slope with the non-submerged portions to achieve visualization of 3D morphology of channel slope.The results show that the measurements and integration methods of point cloud data are effective to acquire integrated topographic of channel slope, thus we enable to build a 3D vector terrain model to achieve quantitatively calculated of geomorphic features of channel slope like arc collapsing and so on. It has a long-term guidance for the monitor and stability evaluation of channel slope in these areas.