空气负离子观测数据质量控制方法研究

文章基于仪器对比观测试验、数据敏感性分析试验以及浙江省53个负氧离子监测站的观测数据,分析了负氧离子观测中出现异常数据的原因,制定了空气负氧离子数据质量控制规则及相关指标。结果表明:雷电、高湿、重污染等天气过程以及观测仪器性能不稳定和外部环境干扰均会引起负氧离子观测数据异常;使用界限值检查、跳变值检查、空气湿度检查和正负离子比值检查等质控规则及相关指标,对负氧离子观测数据进行质量控制,可有效剔除观测数据异常值,最大可能地保障观测数据的科学合理性。

Study on observation data quality control methods of air negative oxygen ion

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.