无人机搭载非接触式测深与测流系统在阿拉尔水文站的应用与精度分析OA
Application and accuracy analysis of UAV equipped with non-contact bathymetry and flow measurement system at Alaer Hydrological Station
为验证无人机搭载非接触式设备在复杂河流水文监测中的适用性与精度,以塔里木河上游阿拉尔水文站为试验测站,利用无人机平台分别搭载非接触式测深与雷达测速系统,并与传统的铅鱼测深、转子式流速仪测量结果进行同步比测试验.结果表明:非接触式测深系统与铅鱼实测水深的平均绝对误差为0.03 m,平均相对误差为4.5%,过水断面地形图与实测断面形态吻合度超过90%;雷达测速系统经系数修正后,测速结果与转子式流速仪所测垂线平均流速之间的平均绝对误差为0.01 m/s,平均相关误差为2.9%;基于流速面积法进行断面流量推算,无人机系统所测流量与传统方法测流结果的相对误差为4.7%,测验精度满足河流流量测验规范要求.研究成果能够作为传统测验方法的有效补充与替代方案,可显著提升6~10倍作业效率,为精细化水文分析提供精准数据支撑.
To verify the applicability and accuracy of a UAV equipped with non-contact instruments in complex river hydrological monitoring,a synchronous comparative test was conducted at the Alaer Hydrological Station on the upper reaches of the Tarim River.A UAV platform was employed to carry a non-contact bathymetric system and a radar-based velocity measurement system,with their performance compared against traditional methods using a sounding lead and a rotor-type current meter.The results indicated that the average absolute error between the non-contact bathymetric system and sounding lead measurements for water depth was 0.03 m,with an average relative error of 4.5%.The topographic map of the wetted cross-section showed over 90%consistency with the measured cross-sectional morphology.After applying a correction coefficient,the radar-based velocity measurement system exhibited an average absolute error of 0.01 m/s and an average relative error of 2.9%compared to the vertically averaged velocity measured by the rotor-type current meter.For discharge estimation based on the velocity-area method,the relative error between the flow rate measured by the UAV system and that obtained by traditional methods was 4.7%,meeting the accuracy requirements specified in river discharge measurement standards.The findings demonstrated that this approach can serve as an effective supplement and alternative to traditional survey methods,significantly improving operational efficiency by 6 to 10 times and providing reliable data support for refined hydrological analysis.
赵飞
新疆维吾尔自治区阿克苏水文勘测中心,新疆阿克苏 843000
信息技术与安全科学
水文测验无人机非接触测深雷达测速比测试验
hydrological surveyUAVnon-contact bathymetryradar-based velocity measurementcomparative test
《水利信息化》 2026 (2)
92-96,5
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