应用海洋学学报
應用海洋學學報
응용해양학학보
Journal of Applied Oceanography
2014年
4期
472-480
,共9页
物理海洋学%走航ADCP%CODAS系统%质量控制%系统误差%厦门湾
物理海洋學%走航ADCP%CODAS繫統%質量控製%繫統誤差%廈門灣
물리해양학%주항ADCP%CODAS계통%질량공제%계통오차%하문만
physical oceanography%ship-mounted ADCP%CODAS system%quality control%systematic errors%Xiamen Bay
CODAS系统搭配相应质量控制参数,用以识别ADCP在复杂测流环境下测得的可疑或错误流速单元和剖面.通过水跟踪和底跟踪,CODAS系统可有效获取仪器自带数据处理软件vmdas、winri-ver无法修正的系统误差.本研究采用该系统对厦门湾走航ADCP测量数据做后续质量控制,所得相应系统误差如下:旋转角度偏差Δ=3.2°,幅值修正因子β=0.98.此外,以底跟踪测得流速为准确值,参考GPS 数据经过系统误差订正后,流速精度显著提高,平均误差订正前后分别为28.9 cm/s和11.6 cm/s.最后,结合现场数据采集工作与数据质量控制过程,总结数据质量问题一般特征并提出改进建议.
CODAS繫統搭配相應質量控製參數,用以識彆ADCP在複雜測流環境下測得的可疑或錯誤流速單元和剖麵.通過水跟蹤和底跟蹤,CODAS繫統可有效穫取儀器自帶數據處理軟件vmdas、winri-ver無法脩正的繫統誤差.本研究採用該繫統對廈門灣走航ADCP測量數據做後續質量控製,所得相應繫統誤差如下:鏇轉角度偏差Δ=3.2°,幅值脩正因子β=0.98.此外,以底跟蹤測得流速為準確值,參攷GPS 數據經過繫統誤差訂正後,流速精度顯著提高,平均誤差訂正前後分彆為28.9 cm/s和11.6 cm/s.最後,結閤現場數據採集工作與數據質量控製過程,總結數據質量問題一般特徵併提齣改進建議.
CODAS계통탑배상응질량공제삼수,용이식별ADCP재복잡측류배경하측득적가의혹착오류속단원화부면.통과수근종화저근종,CODAS계통가유효획취의기자대수거처리연건vmdas、winri-ver무법수정적계통오차.본연구채용해계통대하문만주항ADCP측량수거주후속질량공제,소득상응계통오차여하:선전각도편차Δ=3.2°,폭치수정인자β=0.98.차외,이저근종측득류속위준학치,삼고GPS 수거경과계통오차정정후,류속정도현저제고,평균오차정정전후분별위28.9 cm/s화11.6 cm/s.최후,결합현장수거채집공작여수거질량공제과정,총결수거질량문제일반특정병제출개진건의.
CODAS system provided with corresponding quality control parameters is used to identify suspicious or er-roneous current units and profiles from ADCP flow measurement in a complex environment.Via water tracking and bottom track,the CODAS system could effectively fix system errors which the inherent data processing soft wares such as vmdas and winriver that can't fix.Herein,the author applied the system on quality control of ship mounted ADCP data of Xiamen Bay,with the corresponding system errors obtained below:the deviation of rotation angle is 3.2 °and the magnitude of correction factor is 0.98.Used GPS data as reference and the bottom tracking flow vec-tor data as standard value,the accuracy of the flow rate is significantly improved through the system error correc-tion.Specifically,the average absolute deviations before and after error correction is 28.9cm/s and 11.6cm/s,re-spectively.Lastly,we have also combined the field data collection and data quality control process and summarized the general characteristics of data quality issues with suggestions for improvements.