摘要
Abstract
Automatic ambient air quality monitoring data are an important basis for air quality assessment,pollution early warning,and environmental governance.During long-term instrument operation,factors such as zero point offset,span attenuation,sampling contamination,environmental fluctuations,and differences in operation and maintenance may easily cause data drift,affecting pollutant concentration judgment and evaluation accuracy.Focusing on data drift correction and quality control in automatic monitoring,this paper reviews methods such as standard gas comparison,historical trend identification,multi-station correlation analysis,and intelligent algorithm-assisted correction.It also summarizes key quality control points in sampling,operation,transmission,review,and closed-loop management,providing reference for improving the authenticity,stability,and traceability of monitoring data.关键词
环境空气质量/自动监测/数据漂移/漂移校正/质量控制Key words
Ambient air quality/Automatic monitoring/Data drift/Drift correction/Quality control分类
资源环境
