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    基于运动图像结构恢复算法的明渠床面粗糙高度测量研究

    Roughness Height Measurement of Open Channel Bed Surfaces Using Structure from Motion Technology

    • 摘要: 粗糙高度影响水流紊动特性变化和应力状态分布,明渠床面粗糙高度的精确测量对底栖生物多样性保护和泥沙间歇性输移预测具有重要作用.现光波干涉和激光扫描等方法抗干扰能力弱、操作复杂,为提高粗糙高度测量计算的效率和准确度,以明渠水槽试验卵石床面为研究对象,采用运动摄像恢复结构技术重建粗糙床面地形及计算粗糙高度,分析了粗糙床面的高程分布规律和时均流速变化特征.研究结果表明:卵石床面高程具有正态分布特征;流速分布符合该算法计算的粗糙高度拟合后的对数率;采用该算法计算粗糙高度可推广到试验操作和工程实际应用中.

       

      Abstract: Roughness height affects the variations in turbulent characteristics and the stress distribution within water flow.Accurate measurement of the roughness height of an open channel bed plays an important role in safeguarding benthos diversity and forecasting intermittent sediment transport occurrences.The existing techniques,such as light wave interference and laser scanning,exhibit limited anti-interference ability and involve complex operational procedures.To enhance the efficiency and accuracy of roughness height measurement and calculation,the pebble-covered bed surface within an open-channel flow experiment was considered the research object.The Structure from Motion technology was employed to reconstruct the rough bed surface terrain and calculate the roughness height.Additionally,the elevation distribution pattern and time-averaged flow velocity variation characteristics of the rough bed surface were analyzed.The results show that the pebble bed elevation follows a normal distribution pattern.Furthermore,velocity distribution conforms to the logarithmic rate calculated through this algorithm post-adjustment for the roughness height.Importantly,the utilization of this algorithm for roughness height calculation can be extended to encompass both experimental endeavors and practical engineering applications.

       

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