【摘要】 空气连续自动监测中缺测资料的插补处理是环境监测与科研的一项基础性的技术工作 ,文章应用数理统计中的相似分析原理进行探讨 ,取得了较理想的结果。该方法对解决和处理因采样时间不足而造成的污染物浓度日均值缺失问题是十分有效的 ,对目前我国开展的城市空气质量日报工作有一定的实际意义。更多还原

【Abstract】 Interpolation Processing for missing monitoring data of ambient air auto monitoring is a fundamental technology job on environmental monitoring and scientific research Based on similarity analysis of mathematical statistics, a new interpolation processing for missing measurement data of air auto monitoring has been discussed in this paper and has obtained a better result The application example indicates that similarity analysis is very useful to solve and treat the missing monitoring data of daily average of the pollutants caused by the shortage of sampling time Actually this method is of practical significance to city daily report of air quality which is being developed in China now更多还原