Application and Analysis of Mobile Radar Wave On-line Flow Measurement System in Luoling River(Ⅱ)Hydrologic Station
[Purposes]In recent years,due to the influence of human activities and the change of station characteristics,the medium and high water test of the Luoling River(Ⅱ)hydrologic station are difficult.Therefore,the application of mobile radar wave flow measurement system to solve this problem is more applicable and reliable.[Methods]In the flow measurement system,the measured flow was arranged ac-cording to different water level variations,and the measured flow of the flow measurement system was compared with the manually measured flow of the rotor current meter at the same time.Three kinds of flow correlation relationships were established,and the flow coefficient of the flow measurement system was calibrated,and the error analysis and evaluation were carried out to verify the flow measurement ac-curacy of the mobile radar wave flow measurement system.[Findings]The comparison and calibration re-sults show that after the calibration of the water surface velocity measured by the mobile radar wave flow measurement system,the accuracy of the calculated section discharge is high,and the alignment accu-racy of the water level discharge relationship curve meets the requirements of data compilation.[Conclu-sions]The analysis results show that according to the radar wave discharge coefficient KC value to correct the discharge,a better stage discharge relationship curve can be established to calculate the discharge,which can effectively solve the problem of poor flow test conditions in mountain rivers.As for the impact of flood scouring and silting flow measurement section,the water level discharge relationship of mobile radar wave flow measurement system can be ensured to be stable by timely checking the flow section and synchronously updating the flow measurement section data in the web page.
radar wave online current measurement systemcalibration by comparison measurementLu-oling River(Ⅱ)Hydrologic Station
NETL
NSTL
万方数据
