%0 Journal Article
%T V-ADCP指标流速法在线测流方法研究
Research on Online Flow Measurement Method Using V-ADCP Index Flow Rate Method
%A 胡立
%A 朱汉华
%A 陈晓
%A 付康
%J Journal of Water Resources Research
%P 199-208
%@ 2166-5982
%D 2025
%I Hans Publishing
%R 10.12677/jwrr.2025.142021
%X 为适应时代的发展，实现无人值守和自动测报，对流量在线监测的方法和原理进行了研究，通过对V-ADCP获取的流速进行预处理得到较为真实可靠的垂线平均流速，然后对断面平均流速与V-ADCP获取的实测垂线平均流速进行多元线性回归分析，可得到断面平均流速与代表垂线平均流速的相关关系，并以V-ADCP垂线流速计算流量与走航式ADCP实测流量为率定样本，验证了该方法的适用性。结果表明：基于V-ADCP指标流速法的在线测流方法能达到流量监测的精度，其系统误差为−0.035%，随机不确定度为5.7%。研究成果可为流量在线监测推流方法的选择提供参考。
To meet the demands of technological advancement and achieve unmanned operation and automated reporting, this study investigates methods and principles for online flow monitoring. The proposed approach involves preprocessing velocity data acquired by V-ADCP to obtain reliable vertical line average velocities. Through multivariate linear regression analysis between cross-sectional average velocity and measured vertical line velocities from V-ADCP, a correlation relationship was established. Calibration samples consisting of V-ADCP-derived discharge and moving-vessel ADCP measurements were used to validate its applicability. Results demonstrate that the online flow measurement method based on the V-ADCP index velocity achieves satisfactory monitoring accuracy, with a systematic error of −0.035% and random uncertainty of 5.7%. These findings provide valuable reference for selecting discharge estimation methods in online flow monitoring systems.
%K 在线监测，
%K V-ADCP，
%K 垂线流速，
%K 多元回归
Online Monitoring
%K V-ADCP
%K Vertical Flow Velocity
%K Multiple Regression
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=115859