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V-ADCP指标流速法在线测流方法研究
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Abstract:
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.
[1] | 曹春燕, 任凤仪. 流量在线监测实用性分析及实现技术研究[J]. 人民黄河, 2020, 42(S2): 11-13. |
[2] | 梅军亚, 陈静, 香天元. 侧扫雷达测流系统在水文信息监测中的比测研究及误差分析[J]. 水文, 2020, 40(5): 54-60. |
[3] | 左建, 邓山, 张洪霞, 等. 白河水文站表面流速代表性研究[J]. 水文, 2021, 41(3): 19-24. |
[4] | 韦立新, 蒋建平, 曹贯中. 南京水文实验站ADCP流量测验方法改进研究[J]. 水利水电快报, 2017, 38(6): 11-14. |
[5] | 邓山, 赵昕, 张莉, 等. 南水北调工程陶岔站时差法流量计推流技术研究[J]. 人民长江, 2022, 53(4): 86-90. |
[6] | 陈细润, 石永恩. 攀枝花水文站移动式智能雷达测流系统应用[J]. 水利水电快报, 2023, 44(S1): 61-64. |
[7] | 夏志培, 晋涛. 流量III型误差的分析[J]. 水文, 2015, 35(6): 67-71. |
[8] | 蒋建平, 张孝军, 刘汉伟. 走航式声学多普勒流速仪流量测验质量管理[C]//水利部水文局, 国际水文计划(IHP)中国国家委员会, 国际水文科学协会(IAHS)中国国家委员会, 中国水利学会水文专业委员会. 中国水文科技新发展——2012中国水文学术讨论会论文集. 长江水利委员会水文局长江下游水文水资源勘测局, 长江水利委员会水文局, 2012: 410-417. |
[9] | 柯莉莉, 谢雅蕾, 谢波. 流量在线监测在九江水文站的可行性分析[J]. 江西水利科技, 2023, 49(5): 365-369+390. |