以南水北调中线工程为研究对象，针对调度运行中出现监测站点流量倒挂的数据异常现象，基于水量动态平衡原理及区间流量最长序列法，构建流量监测站点倒挂数据清洗模型；以中线工程白河至黄金河段为例，基于模型清洗后的流量数据作为上边界条件，构建水动力模型进行验证。结果表明：清洗模型消除了流量监测数据中存在的倒挂现象，提高了流量监测数据的质量，并发现节制闸流量监测设备存在的监测数据偏差及闸门调控的干扰是造成该现象的主要原因；水动力数值模拟的闸前水位平均绝对误差减少0.0757m，均方根误差减小0.0895m，清洗后的流量数据在数据空间的逻辑性、一致性等方面优于实测流量数据。

In recent years, with the further development of the informatization level of long-distance open channel water diversion projects, the distribution of monitoring stations along the project has become more and more dense, and the monitoring of water regime information and the quality of monitoring data have attracted more and more attention. The reliability and consistency of the flow monitoring data along the long distance open channel water transfer project in time and space directly affect the accuracy of the water condition study and hydrodynamic numerical simulation. Taking the middle route project of South-to-North Water Transfer project as the research object, aiming at the abnormal phenomenon of the inverted flow of the monitoring station in the dispatching operation, the principle of dynamic balance of water volume and the longest sequence method of interval flow are adopted to construct the inverted data cleaning model of the flow monitoring station. Firstly, the principle of water dynamic balance is used to calculate the water loss rate of the canal pool along the middle line project, and according to the water loss rate, the theoretical flow value of each control gate along the line is calculated. By calculating the deviation of the actual monitoring data of each control ?gate relative to the theoretical flow data, the relative deviation is selected to be less than 1% for interval division. Then, the interval longest sequence method is used to screen out the data to be modified. Finally, the water balance principle is used to modify the modified data. By comparing and analyzing the measured flow data and the theoretical flow data of the control gate, the number of control times of the control gate and the number of control times occurred in the inverted flow phenomenon are counted, and the causes of the inverted flow phenomenon are summarized. Taking the flow data before and after cleaning as the upper boundary conditions, a one-dimensional hydrodynamic model was constructed to verify the impact of data cleaning on the simulation model. Taking the Baihe River to Huanghe River section of the middle line project as an example, a hydrodynamic model is constructed for verification based on the flow data after model cleaning as the upper boundary condition. The results show that: The cleaning model eliminates the inverted phenomenon in the flow monitoring data and improves the quality of the flow monitoring data. The mean absolute error of the water level in front of the gate is reduced by 0.0757m and the root mean square error is reduced by 0.0895m in the hydrodynamic numerical simulation. Through the analysis of the causes of the inverted data, it is found that the monitoring data deviation of the control gate flow monitoring equipment and the interference of the gate control are the main influencing factors of the phenomenon. By comparing the results of hydrodynamic simulation, it is found that the upper boundary condition of flow data after cleaning can effectively improve the simulation accuracy. The results show that the cleaned flow data is superior to the measured flow data in data space logicality and consistency, which can be popularized and applied in practical engineering.

中国水利水电科学研究院基本科研业务费专项项目(01882106)