基于统计回归方法的多普勒激光雷达反演颗粒物浓度研究  

Doppler Lidar Retrieval of Particulate Matter Concentration Based on Statistical Regression Method

作　　者：崔立凯 宋小全[1,2] 杨雅雯 刘佳鑫 李珍妮 云龙 张明棣 CUI Likai;SONG Xiaoquan;YANG Yawen;LIU Jiaxin;LI Zhenni;YUN Long;ZHANG Mingdi(College of Marine Technology,Faculty of Information Science and Engineering,Ocean University of China,Qingdao,Shandong 266100,China;Laboratory for Regional Oceanography and Numerical Modelling,Pilot National Laboratory for Marine Science and Technology(Qingdao),Qingdao,Shandong 266237,China;Shenzhen Environmental Monitoring Center,Shenzhen,Guangdong 518049,China)

机构地区：[1]中国海洋大学信息科学与工程学部海洋技术学院,山东青岛266100 [2]青岛海洋科学与技术试点国家实验室区域海洋动力学与数值模拟功能实验室,山东青岛266237 [3]深圳市环境监测中心站,广东深圳518049

出　　处：《光子学报》2021年第12期60-69,共10页Acta Photonica Sinica

基　　金：国家重点研发计划(Nos.2018YFC0213101,2016YFC1400905);国家自然科学基金(No.61775200)。

摘　　要：2019年9月至10月,利用相干多普勒激光雷达在深圳石岩地区(113.9°E,22.7°N)与深圳气象梯度塔进行了联合观测实验,基于激光雷达后向散射强度直接反演PM2.5、PM10颗粒物浓度。反演得到的不同高度颗粒物浓度与梯度塔上颗粒物同步混合监测仪实测结果进行统计回归分析。结果表明:本次实验中,PM2.5和PM10的反演结果与实测结果的相关性均达到0.8以上,其中PM2.5的反演结果更好。吸湿因子分析表明,120 m和220 m处2.5~10μm的大颗粒物质亲水性更强,70 m处2.5μm以下细粒子亲水性更强。颗粒物浓度反演与比对结果表明,多普勒激光雷达可以用来观测颗粒物浓度。From September to October 2019,the coherent Doppler lidar observed and retrieved PM2.5,PM10 particulate concentrations in a joint observation campaign conducted at Shiyan(113.9°E,22.7°N)of Shenzhen.Statistical regression analyzed the retrieval with lidar backscattering intensity and synchronized hybrid ambient real-time particulate monitor measurements from different heights of meteorological tower.Correlation coefficients of PM2.5,PM10 particulate concentrations intercomparisons between lidar and monitor reach more than 0.8,and that of PM2.5 is better.Hygroscopic growth factor analysis shows large particles of 2.5μm~10μm at 120 m and 220 m heights may have stronger hygroscopicity,while it is opposite for those at 70m height.Particle concentration inversion and intercomparison prove that Doppler lidar can be used to observe particle concentration.

关 键 词：多普勒激光雷达 PM2.5浓度 PM10浓度 回归分析法 

分 类 号：X513[环境科学与工程—环境工程] TN958.98[电子电信—信号与信息处理]