Aerosol vertical profile retrieved from ground-based MAX-DOAS observation and characteristic distribution during wintertime in Shanghai, China
Aerosol vertical profile retrieved from ground-based MAX-DOAS observation and characteristic distribution during wintertime in Shanghai, China
复制标题
上海冬季地基MAX-DOAS观测反演气溶胶垂直剖面及特征分布
DOI：
10.1016/j.atmosenv.2018.08.051
复制
发表时间：
2018-11
影响因子：
5
通讯作者：
Zhou Bin
中科院分区：
文献类型：
--
作者：
Zhang Jiawei;Wang Shanshan;Guo Yanlin;Zhang Ruifeng;Qin Xiaofei;Huang Kan;Wang Dongfang;Fu Qingyan;Wang Jie;Zhou Bin
摘要2017年4 - 12月，利用多轴差分吸收光谱（MAX-DOAS）对上海近郊气溶胶垂直剖面进行遥感测量。气溶胶消光的反演是基于氧二聚体o4吸收测量值与正向辐射传输模型模拟相结合的最优估计方法。建议调整臭氧校正因子（cfo4）在日气溶胶反演中的使用，包括固定的cfo4、不使用cfo4和上午、下午不同的cfo4三种典型情况。在使用cfo4的情况下，进一步提出了仰角依赖的cfo4 （α）。此外，在正向辐射传输模型中引入局地大气温度和气压剖面的探测数据，而不使用额外的cfo4，可以改善反演结果。反演的气溶胶光学深度（AOD）和地表气溶胶消光系数（AEC）与太阳光度计观测得到的AOD和舱内pm2.5浓度吻合较好，相关系数R分别为0.866和0.833。此外，MAX-DOAS获取的AEC垂直剖面也得到了同位激光雷达测量的验证。可以发现，颗粒主要分布在1 km以下，最大AEC通常出现在最低300 m，并随着海拔高度的增加而减小。在二、三、四、五级不同空气质量下，1 km范围内的平均AEC变化范围为0.20 ~ 0.75 km−1、0.25 ~ 1.08 km−1、0.55 ~ 2.45 km−1和0.70 ~ 2.75 km−1，综合了探测气象参数和气团的反向轨迹，诊断了不同高度AEC的影响因素。说明冬季低空AEC水平受到西北偏北长距离输送的大气污染物和附近区域性局地污染的影响。研究表明，基于MAX-DOAS的地面观测是一种强大的遥感技术，可以更好地了解地表和高海拔地区的气溶胶特性。
Abstract Multi-AXis-Differential Optical Absorption Spectroscopy (MAX-DOAS) measurements were performed to remote sensing the aerosol vertical profiles in suburb area of Shanghai, China from April to December 2017. The retrieval of aerosol extinction was based on the optimal estimation method combing the measured oxygen dimer O 4 absorption with simulation of forward radiative transfer model. It suggests that the employment of O 4 correction factor (CF O4) for daily aerosol retrieval should be adjusted, which includes three typical cases that a fixed CF O4, no usage of CF O4 and different CF O4 in the morning and afternoon. In cases of using CF O4, elevation angle dependent CF O 4 (α) were further proposed. Moreover, the retrieval results can be improved if the local sounding data of atmospheric temperature and pressure profiles were introduced into the forward radiative transfer model without utilizing additional CF O4. Afterwards, the retrieved Aerosol Optical Depth (AOD) and the surface Aerosol Extinction Coefficient (AEC) was in a good agreement with the AOD obtained from sun photometer observations and in-suit PM 2.5 concentrations, with a correlation coefficient R of 0.866 and 0.833, respectively. Besides, the vertical AEC profiles retrieved by MAX-DOAS were also validated well by the co-located lidar measurement. It can be found that the particles were mainly distributed below 1 km, and the maximum AEC usually appeared in the lowest 300 m and decreased with the altitudes. The averaged AEC within 1 km varied from 0.20 to 0.75 km− 1, 0.25 to 1.08 km− 1, 0.55 to 2.45 km− 1 and 0.70 to 2.75 km− 1 under different air quality of Grade II, III, IV and V. The sounding meteorological parameters and backward trajectories of air masses were integrated to diagnose the influencing factor of AEC at different altitudes, which illustrated that the AEC levels at lowest layer were impacted by the long distance transportation of air pollutants from north-northwest and regional local air pollution nearby during the winter time. The study shows that ground-based MAX-DOAS observation is powerful remote sensing technique to provide better understanding of aerosol properties at both ground surface and higher altitudes.
登录
查看更多内容
影响因子：
6.3
作者：
F. Wittrock;H. Oetjen;A. Richter;S. Fietkau;T. Medeke;A. Rozanov;J. P. Burrows
通讯作者：
F. Wittrock;H. Oetjen;A. Richter;S. Fietkau;T. Medeke;A. Rozanov;J. P. Burrows
DOI：
10.1016/j.jqsrt.2016.02.021
发表时间：
2016-06
影响因子：
2.3
作者：
I. Ortega;L. Berg;R. Ferrare;J. Hair;C. Hostetler;R. Volkamer
通讯作者：
I. Ortega;L. Berg;R. Ferrare;J. Hair;C. Hostetler;R. Volkamer
DOI：
10.1016/j.jphotochem.2004.03.026
发表时间：
2004-11
影响因子：
4.3
作者：
O. Fleischmann;M. Hartmann;J. Burrows;J. Orphal
通讯作者：
O. Fleischmann;M. Hartmann;J. Burrows;J. Orphal
影响因子：
3.8
作者：
U. Friess;H. Baltink;S. Beirle;K. Clémer;F. Hendrick;B. Henzing;H. Irie;G. Leeuw;A. Li;M. Moerman;M. Roozendael;R. Shaiganfar;T. Wagner;Yu-Tu Wang;P. Xie;S. Yilmaz;P. Zieger
通讯作者：
U. Friess;H. Baltink;S. Beirle;K. Clémer;F. Hendrick;B. Henzing;H. Irie;G. Leeuw;A. Li;M. Moerman;M. Roozendael;R. Shaiganfar;T. Wagner;Yu-Tu Wang;P. Xie;S. Yilmaz;P. Zieger
影响因子：
--
作者：
B. Johnson;B. Heese;S. McFarlane;P. Chazette;A. Jones;N. Bellouin
通讯作者：
B. Johnson;B. Heese;S. McFarlane;P. Chazette;A. Jones;N. Bellouin