在实时HADCP数据收集过程中避免数据偏差

P. Devine
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引用次数: 0

摘要

近年来,在船舶交通安全计划中,越来越多地使用水平定向声学多普勒电流分析器(HADCPs)进行实时数据收集。本文总结了2004年5月在特拉华河口进行的驳船式HADCP与船舶式ADCP的比较。对过往船只和底部边界的存在对HADCP数据的影响进行了严格的调查,并提出了在实时系统中使用之前检测和排除有偏差数据的方法。将HADCP数据与沿HADCP剖面在不同范围收集的船载ADCP数据进行比较。两种测量结果之间的比较用于确定来自HADCP的速度偏差,其中光束开始与局部测深相互作用。在船只通过三个声波束期间,还评估了来自HADCP的速度和数据质量指标。目的是确定水流速度偏差的大小以及数据质量保证参数中的相应特征。提出了一种使用标准质量保证参数来筛选环境偏差并在实时数据收集过程中产生无偏速度估计的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Avoiding biased data during real time HADCP data collection
In recent years, there has been an increase in the use of horizontally oriented acoustic Doppler current profilers (HADCPs) for real time data collection within vessel traffic safety programs. This paper summarizes a comparison between a barge mounted HADCP and a vessel mounted ADCP in the Delaware estuary in May 2004. A rigorous investigation of the influence of passing vessels and the presence of the bottom boundary on the HADCP data is presented along with a proposed method for detecting and excluding biased data prior to use in real time systems. The HADCP data were compared with vessel mounted ADCP data collected at various ranges along the HADCP profile. Comparisons between the two measurements were used to identify bias in the velocity from the HADCP where the beams began to interact with the local bathymetry. During periods when vessels passed through the three acoustic beams velocity and data quality indicators from the HADCP were also evaluated. The goal was to identify the magnitude of water velocity bias and the corresponding signature in the data quality assurance parameters. A method using standard quality assurance parameters is proposed to screen environmental bias and produce unbiased velocity estimates during real time data collection.
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