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      雷达波在线测流系统在长江流域的应用精度研究

      Study on application accuracy of radar wave online flow measurement system in the Yangtze River Basin

      • 摘要: 为提升水文测验在线监测水平,本研究基于长江流域石鼓等8个水文站的雷达波在线测流系统在2018—2023年间进行比测率定和验证分析的成果,采用分类指标和数理统计的方法,对不同河流类型、水情、雷达设备、测验环境中系统的应用情况进行了评价。结果表明:(1)雷达波在线测流系统测流总体精度较高,各水文站分量级的测次定线精度均符合规范要求;(2)符合定线精度要求的关系曲线中,系统误差绝对值在0.6%以内,5个水文站的随机不确定度在10%以内,其余3个水文站该指标精度偏低,在15%以内;(3)系统应用可靠性较好,验证结果与定线精度基本一致,即精度较高的5个水文站有76%以上的测次相对误差绝对值在5%以内,而精度较低的3个水文站在该范围内的测次数不足50%;(4)在一定水位或流量范围内系统基本可满足水文站流量在线监测精度要求。

         

        Abstract: To improve the level of online monitoring in hydrological measurements, this study, based on the results of comparative measurement, calibration, verification, and analysis conducted on radar wave online flow measurement systems at 8 hydrological stations (including Shigu) in the Yangtze River Basin during 2018—2023, adopts classified indicators and methods of mathematical statistics to evaluate the application of the systems under different river types, hydrological conditions, radar equipment, and measurement environments. The results show that: (1). The radar wave online flow measurement system has high overall accuracy in flow measurement, and the rating accuracy of measurement events classified by flow level at each hydrological station meets the specification requirements. (2) For the rating curves that meet the rating accuracy requirements, the absolute value of the systematic error is within 0.6%. The random uncertainty of 5 hydrological stations is within 10%, while the accuracy of this indicator for the remaining 3 hydrological stations is relatively lower, within 15%. (3) The system has good application reliability, and the verification results are basically consistent with the rating accuracy: for the 5 hydrological stations with higher accuracy, the absolute value of relative error in over 80% of measurement events is within 5%; in contrast, for the 3 hydrological stations with lower accuracy, less than 50% of measurement events fall within this range. (4) Within a certain range of water level or flow, the system can basically meet the accuracy requirements for online flow monitoring at hydrological stations.

         

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