【摘要】 采用某品牌3台传感器,对环境空气中气态污染物（NO₂、SO₂、O₃、CO）和颗粒物(PM₁₀、PM_2.5)进行为期1个月的连续监测,探讨传感技术在环境空气监测中的方法适用性。研究表明,3台传感器监测的各污染物质量浓度均显著相关,Pearson相关系数>0.9（p<0.01）;监测的颗粒物与国控点数据显著相关且质量浓度水平接近,Pearson相关系数>0.9（p<0.01）;PM_2.5传感器测定值相对于国控点数据的平均相对误差仅为-7.3%,均值绝对误差<2μg/m³;传感器在高湿度下的PM_2.5测定值与国控点数据相吻合,当相对湿度为80%～90%时,平均相对误差仅为-0.9%;传感器气态污染物测定值与国控点数据之间存在差异,电化学原理气态污染物传感器性能仍有待提升。更多还原

【Abstract】 The gaseous pollutants（NO₂/SO₂/O₃/CO） and particulate matters(PM₁₀/PM_2.5) in ambient air were continuously monitored for a month by the sensors from three different brands for evaluating their applicability in ambient air monitoring. Results showed that the mass concentrations of all the pollutants measured by the three sensors were highly correlated. Pearson correlation coefficient was above 0.9（p<0.01）. The mass concentrations of particulate matters were approximate to the data from national monitoring sites and there were significant correlations between them. Pearson correlation coefficient was above 0.9（p<0.01）. The average relative error of PM_2.5 concentration between from sensor measurement and national monitoring sites was-7.3%, while the average absolute error was less than 2 μg/m³. The concentrations of PM_2.5 from sensor measurement were in good accordance with those from national monitoring sites in a high humidity environment. When the relative humidity was between 80% and 90%, the average relative error was merely-0.9%. There were differences between the concentrations of gaseous pollutants（NO₂/SO₂/O₃/CO） measured by the sensors and from the national monitoring sites, thus the requirement to sensor performance was enhanced.更多还原