多种颗粒物在线监测仪器应用对比分析-- 以阿克达拉区域大气本底站为例

Comparative analysis of multiple particulate matter online monitoring instrument applications - Taking Akedala Atmospheric Background Station as an example

摘要:

为了更好地开展阿克达拉区域大气本底站(以下简称阿克达拉站)的颗粒物在线监测,本文基于阿克达拉站三种颗粒物在线监测仪器GRIMM180、TEMO1405DF和DXC1监测的2019-2020年和2023-2024年PM10、PM2.5质量浓度资料及同期气象数据,对三种在线监测仪器的PM10和PM2.5的质量浓度数据进行了时间分布特征分析,并探讨了不同原理的仪器监测的PM10和PM2.5质量浓度数据的差异性。结果表明:阿克达拉站颗粒物的质量浓度季节变化明显,春、冬季高,夏、秋季低。三种仪器监测的PM10质量浓度数据偏差较大,而PM2.5质量浓度偏差较小。GRIMM180和DXC1与TEMO1405DF监测的PM2.5质量浓度相关性明显优于PM10,其相关系数分别为0.81和0.76。扬沙天气下GRIMM180和DXC1与TEMO1405DF监测的PM10质量浓度相关性优于非扬沙天气,其相关系数分别为0.70和0.72；而在非扬沙天气下三种仪器监测的PM10质量浓度相关性较差。扬沙天气下DXC1与TEMO1405DF监测的PM2.5质量浓度相关性优于GRIMM180与TEMO1405DF监测的PM2.5质量浓度,其相关系数分别为0.85和0.67；非扬沙天气下GRIMM180和DXC1与TEMO1405DF监测的PM2.5质量浓度相关性明显优于PM10,其相关系数分别为0.82和0.76。总体而言,以激光散射为原理的GRIMM180和DXC1监测的质量浓度与以振荡微天平法为原理的TEMO1405DF相比,存在一定的偏差,且PM10的偏差明显大于PM2.5；扬沙天气下PM10相关性明显变好。本研究可为我国大气本底站和背景地区的颗粒物常态化监测提供仪器选型方面的参考。

Abstract:

In order to better carry out the online monitoring of particulate matter in Akedala Atmospheric Background Station (hereinafter referred to as Akedala Station), this paper is based on the 2019-2020 and 2023-2024 PM10 and PM2.5 monitored by three particulate matter online monitoring instruments GRIMM180, TEMO1405DF, and DXC1 at Akedala Station and the meteorological data in the same period, we have characterized the temporal distribution of the PM10 and PM2.5 mass concentration data of the three online monitoring instruments and The differences of PM10 and PM2.5 mass concentration data monitored by instruments with different principles were explored. The results show that the seasonal variation of particulate matter mass concentrations at Akedala Station was obvious, with high levels in spring and winter and low levels in summer and fall. The deviation of PM10 mass concentration data monitored by the three instruments was large, while the deviation of PM2.5 mass concentration was small.The correlation coeffic