光学学报, 2017, 37 (12): 1201003, 网络出版: 2018-09-06
基于侧向散射激光雷达的PM2.5浓度测量误差 下载: 834次
Measurement Error of PM2.5 Concentration Based on Side Scattering Lidar
大气光学 大气污染监测 激光雷达 侧向散射 PM2.5 测量误差 atmospheric optics air pollution monitoring lidar side scattering PM2.5 measurement error
摘要
根据CCD侧向散射激光雷达(Clidar)及Mie散射理论,建立侧向散射光强分布与PM2.5浓度的关系模型,并分析测量误差。在研究过程中,搭建以波长为532 nm的激光器为光源、CCD为接收器的Clidar PM2.5浓度测量系统装置;将获取的侧向散射回波信号图与BAM-1020颗粒物监测仪记录的PM2.5浓度进行对比,建立高、低增益下各等级模型的关系式。将高、低增益各等级模型的PM2.5预测值与实际测量结果进行对比,得到各模型的平均误差、残差方差和综合偏差率统计量,并确定最佳反演精度模型的增益和等级i 值。结果表明:当PM2.5浓度在0~70 μg m
-3范围内时,高增益模型的反演精度高于低增益模型;对于高增益模型,S (20)模型的反演精度最高。
Abstract
Based on the CCD side scattering lidar (Clidar) and Mie scattering theory, a model of the relationship between the side scattering light intensity distribution and the PM2.5 concentration is established, and the measurement error is analyzed. In the study, the system setup of Clidar PM2.5 concentration measurement, which uses a laser at 532 nm as a light source and a CCD as a receiver, is constructed. The obtained side scattering echo signal is recorded to compare with the PM2.5 concentration measured by the BAM-1020 particle monitor, and hierarchical model expressions under high and low gains are built. When we compare the predicted values of hierarchical model PM2.5 concentration with the measured values, the average error, residual variance and comprehensive deviation rate statistics of each model are obtained. The results show that the inversion accuracy of the high gain model is better than that of the low gain model when the PM2.5 concentration is in the range of 0-70 μg·m
-3. In the high gain model, the inversion accuracy of S(20) model is the highest.
陈松, 胡淼, 曾然, 李齐良, 周雪芳, 蔡美伶, 聂佳林, 汪延安. 基于侧向散射激光雷达的PM2.5浓度测量误差[J]. 光学学报, 2017, 37(12): 1201003. Song Chen, Miao Hu, Ran Zeng, Qiliang Li, Xuefang Zhou, Meiling Cai, Jialin Nie, Yan’an Wang. Measurement Error of PM2.5 Concentration Based on Side Scattering Lidar[J]. Acta Optica Sinica, 2017, 37(12): 1201003.