24 September 2013 Preliminary study of a dust event over Beijing by using satellite data and ground-based measurements
Author Affiliations +
This paper discusses the analysis of the severe dust storm that occurred over Beijing from 26th April to 3rd May in 2012 with the use of combined satellite observations and ground-based measurements. In this study, we analyze the pollution characteristics of particulate matters near ground, with the main focus on spatio-temporal and vertical distributions of aerosol during this event by using ground-based Aerosol Robotic Network (AERONET), MODerate resolution Imaging Spectroradiometer (MODIS) and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) data. Results show that the Aerosol Optical Depth (AOD) measured at 550 nm from the AERONET Beijing station has an ascending trend with a peak value of 2.5 on 1st May. Moreover, the AOD variation from the MODIS data agrees well with AERONET observations during the same time period. In addition, the vertical distribution of total attenuated backscatter coefficient (TABC), volume depolarization ratio (VDR) and color ratio (CR) of CALIPSO data are comprehensively analyzed. Results from these analyses show that the dust mainly accumulates in the layer at altitudes of 1.5 to 4.5 km on 1st May. In this dust layer, the values of TABC are generally around 0.002~0.0045 km-1sr-1 and VDR and CR are typically around 0.1~0.5 and 0.6~1.4 respectively. Thus, the combined satellite and ground-based observations are of great use for monitoring and analyzing air quality with high accuracy.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xianxia Shen, Xianxia Shen, Chaoshun Liu, Chaoshun Liu, Runhe Shi, Runhe Shi, Kaixu Bai, Kaixu Bai, Chao Wang, Chao Wang, Wei Gao, Wei Gao, "Preliminary study of a dust event over Beijing by using satellite data and ground-based measurements", Proc. SPIE 8869, Remote Sensing and Modeling of Ecosystems for Sustainability X, 886912 (24 September 2013); doi: 10.1117/12.2022337; https://doi.org/10.1117/12.2022337

Back to Top