Abstract：Based on the instrument comparative observation test and data sensitivity analysis test and the observation data from 53 stations of negative oxygen ion in Zhejiang province,the reasons resulted in abnormal data in negative oxygen ion observation are analyzed.And the rules and indices of data quality control of air negative oxygen ion are formulated.The results show that the specific weather processes such as lightning,high humidity and heavy pollution,as well as instability of instrument performance and the interference of external environment,could cause anomaly data in negative oxygen ion observation.Conducting data quality control process includes threshold value check,jump value check,air humidity check,and ratio check of positive and negative ion,abnormal data of air negative oxygen ion observation could be eliminated effectively.The scientific rationality of the observation data could be guaranteed as much as possible.
姜燕敏, 李正泉, 郁珍艳, 吴昊旻, 王阔. 空气负离子观测数据质量控制方法研究[J]. 气象水文海洋仪器, 2021, 38(1): 5-10.
Jiang Yanmin, Li Zhengquan, Yu Zhenyan, Wu Haomin, Wang Kuo. Study on observation data quality control methods of air negative oxygen ion. Meteorological Hydrological and Marine Instrument, 2021, 38(1): 5-10.
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