对目前大气环境颗粒物监测中采用的基于光散射法的3种型号传感器进行了评测研究，其中A和B是用于室内环境监测，C用于室外环境监测.对3种型号颗粒物传感器与基于β射线方法的标准仪器MATONE BAM-1020对比，对传感器的变异性、时间序列、传感器与标准仪器的线性相关性、其他因素影响、数据质量五个方面开展了分析.结果表明：各型号颗粒物传感器之间有较强相关性（R2达到了0.95以上）；3种颗粒物传感器与标准仪器测量结果吻合度较高，R2分别为0.58，0.80，0.61，且在整个测试时间段内，传感器相对于标准仪器来说高估了PM2.5；高的相对湿度（RH>50%）和PM2.5/PM10（ratio）会对传感器产生影响.A、B、C三种型号传感器PM2.5数据平均绝对误差（MAE）分别为23.31，10.14，28.17μg/m3；归一化均方根误差（RMSE）分别为25.80，14.01，32.98μg/m3，准确性（A%）分别为51.39%，72.97%，46.51%.
Abstract
In this paper, three types of sensors based on the light scattering method used in atmospheric environmental particulate matter monitoring are evaluated and researched, of which A and B are used for indoor environmental monitoring, and C is used for outdoor environmental monitoring. The three types of particulate matter sensors are compared with the standard instrument MATONE BAM-1020based on the β-ray method, and the variability of the sensor, the time series, the linear correlation between the sensor and the standard instrument, the influence of other factors, and the data quality are analyzed. The results show that there is a strong correlation between the various types of particulate matter sensors (R2 has reached 0.95 or more); the measurement results of the three particulate matter sensors and the standard instrument have a high degree of agreement, and R2 is 0.58, 0.80, 0.61, respectively, and during the entire test period, the sensor overestimated PM2.5 relative to the standard instrument; high relative humidity (RH>50%) and PM2.5/PM10 (ratio) will affect the sensor. The average absolute error (MAE) of the PM2.5 data of the three types of sensors of A, B, and C are 23.31, 10.14, 28.17μg/m3 respectively; the normalized root mean square error (RMSE) is 25.80, 14.01, 32.98μg/m3; the accuracy (A%) is 51.39%, 72.97%, 46.51%, respectively.
关键词
PM2.5 /
传感器 /
环境监测 /
颗粒物 /
空气污染
Key words
air pollution /
environmental monitoring /
low cost sensors /
particulate matte /
PM2.5
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基金
国家自然科学基金资助项目（42075182）
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