黄色河曲的冰速使用无人机空中飞行器图像
Zhongshu Xue1, Honglan Ji2,3, Hongchun Luo1,4
1College of Water Resources and Civil Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, Inner Mongolia, China.
Scientific reports
|July 2, 2025
概括
使用无人机 (UAV) 遥感的河流冰速率监测揭示了河流曲处的低速度区域,这对于预测冰块堵塞和结至关重要. 这些发现有助于预测和防洪工作.
科学领域:
- 水文学的水文学
- 遥感 遥感 遥感 遥感
- 河流冰动力学 河流冰动力学
背景情况:
- 河流冰的速度对于监测冰块堵塞,结和冰块堵塞的位置至关重要.
- 准确的冰速数据对于有效的结预测和洪水风险评估至关重要.
研究的目的:
- 在黄河的冰流期内,量化冰在河的速度分布.
- 确定影响冰速变化的因素及其与冰堵形成的关系.
- 为改善冰堵风险预测和防洪提供见解.
主要方法:
- 从2023年12月起使用无人机 (UAV) 遥感图像.
- 应用了金字塔式卢卡斯-卡纳德光流算法来量化冰的速度.
- 分析了多个河的冰速分布,将其与曲率和收缩比等几何参数相关联.
主要成果:
- 确定了曲线顶部的低冰速截面,导致冰积累,增加了冰堵的可能性.
- 在曲线内观察到冰速的显著空间变化,受曲率和收缩的影响.
- 在Shisifenzi Bend的顶部和最初的冰塞位置之间发现了低冰速的相关性.
结论:
- 河流曲的几何结构显著影响冰的速度分布和冰堵的形成.
- 建议在高曲率和收缩的道优先进行监测和预警.
- 这项研究为预测冰堵风险和预防黄河洪水提供了科学基础.
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