Variance of Discharge Estimates Sampled Using Acoustic Doppler Current Profilers from Moving Platforms
Variance of Discharge Estimates Sampled Using Acoustic Doppler Current Profilers from Moving Platforms
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DOI：
10.1061/(asce)hy.1943-7900.0000558
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发表时间：
2012-04
影响因子：
2.4
通讯作者：
C. M. García;Leticia Tarrab;K. Oberg;R. Szupiany;M. Cantero
中科院分区：
文献类型：
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作者：
C. M. García;Leticia Tarrab;K. Oberg;R. Szupiany;M. Cantero
摘要本文提出了一种量化随机误差的模型（即，方差）的声学多普勒海流剖面仪（ADCP）流量测量从移动平台与不同的采样时间。该模型的重点是在采样流场的随机过程，并已开发使用统计方法，目前可用于速度时间序列的不确定性分析。通过对3条不同尺度、不同水流条件的天然河流的ADCP移动平台实测资料的分析表明，尽管实际湍流流场的积分时间尺度估计值大于采样间隔，但采样流场的积分时间尺度与采样间隔一致。因此，假设流场不相关，计算与不同采样时间相关的流量测量方差误差的公式是适当的。该方法用于帮助定义最佳采样策略.
AbstractThis paper presents a model for quantifying the random errors (i.e., variance) of acoustic Doppler current profiler (ADCP) discharge measurements from moving platforms associated with different sampling times. The model focuses on the random processes in the sampled flow field and has been developed using statistical methods that are currently available for the uncertainty analysis of velocity time series. Analysis of field data that were collected using ADCP from moving platforms from three natural rivers of varying sizes and flow conditions shows that, even though the estimate of the integral time scale of the actual turbulent flow field is larger than the sampling interval, the integral time scale of the sampled flow field is in keeping with the sampling interval. Thus, an equation for computing the variance error in discharge measurements associated with different sampling times, assuming uncorrelated flow fields, is appropriate. The approach is used to help define optimal sampling strategies ...