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Measuring the volume of flushed sediments in a reservoir using multi-temporal images acquired with UAS

机译:使用UAS采集的多时相图像测量水库中被冲洗的沉积物的量

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Abstract We compute the volume of flushed sediments in a dam using photogrammetry-based multi-temporal surveys with an unmanned aerial system (UAS). Coping with sediments accumulation and erosion in reservoir is a living topic in modern hydraulics of dams, since the increase of sediment may reduce the reservoir capacity, endanger dam?¢????s stability, and represent an economical loss. As a result, a number of remedies can be considered, such as flushing or mechanical removal. To evaluate the performance of these operations, measuring the volume of removed sediments and their spatial distribution is important. Here, we show that photogrammetry from UASs represents a suitable solution to reckon the volume of removed sediments. The case study is the Fusino dam (Lombardia region, Northern Italy). Two surveys were performed, before and after sediment removal. In both cases, the flight has been planned with an average flight height equal to 65 m, leading to a mean ground sample distance (GSD) equal to 0.013 m. The 22 ground control points (GCP) used to adjust the photogrammetric block were measured with both global navigation satellite system (GNSS) and a total station. Each survey produced a cloud of about 40 million of points. Moreover, the digital surface model (DSM) produced by each photogrammetric flight has been validated with sample points measured with a robotic total station. Results show high consistency between computed DSMs and validation dataset, with a mean height difference equal, respectively, to 0.003 and ?¢????0.004 m considering the two different surveys, with a standard deviation around 0.05 m in both the cases. The volume of sediments flushed was estimated to be about 26,000 m 3 , which represents about 2%?¢????3% of the total reservoir capacity. We estimated also a 6% difference in terms of reservoir capacity between the present condition and the no-sediments condition.
机译:摘要我们使用基于摄影测量的多时相测量和无人航空系统(UAS),计算大坝中被冲刷的沉积物的量。在现代水坝中,应对水库中的沉积物堆积和侵蚀是一个重要的课题,因为沉积物的增加会降低水库的容量,危及大坝的稳定性,并造成经济损失。结果,可以考虑许多补救措施,例如冲洗或机械移除。为了评估这些操作的性能,测量去除的沉积物的体积及其空间分布很重要。在这里,我们证明了来自UAS的摄影测量法是一种合适的解决方案,可以估算出沉积物的体积。案例研究是Fusino大坝(意大利北部伦巴第大区)。在去除沉积物之前和之后进行了两次调查。在这两种情况下,计划的飞行平均飞行高度等于65 m,因此平均地面采样距离(GSD)等于0.013 m。使用全球导航卫星系统(GNSS)和全站仪测量了用于调整摄影测量块的22个地面控制点(GCP)。每次调查都会产生约4000万个点的云。此外,每次摄影测量飞行产生的数字表面模型(DSM)已通过自动全站仪测量的采样点进行了验证。结果表明,在计算得出的DSM与验证数据集之间具有高度一致性,考虑到两次不同的调查,平均高度差分别等于0.003和0.004 m,两种情况下的标准偏差均为0.05 m。冲刷出的沉积物量估计约为26,000 m 3,约占总库容的2%-3%。我们还估算了当前状态和非沉积状态之间的储层容量差异为6%。

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