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.%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．
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