An serious air pollution episode over Beijing and surrounding area have persisted from November 2 to 8, 2017. In order to monitor and analyze this air pollution, a remote sensing inversion of time series iterative algorithm (TSIA) was used to retrieval the aerosol optical depth (AOD) for the particle pollutants based on COMs1(Communication、Ocean & Meteorological Satellite-1) GOCI (The Korea Geostationary Ocean Color Imager) data. The core idea of TSIA is the surface reflectance variations is minimized by a reasonable assumption of aerosol changing quickly but earth's surface changing slowly over time. The results show that the AOD over Beijing and around area has a fairly good relationship with R2 of greater than 0.89 compared with the ground-based measurements from Aerosol Robotic NETwork (AERONET). The high monitoring frequency of GOCI (once per hour in daylight) could capture the air pollution trends better from forming to dissipation, which can be of great assistance in climate change researches and environmental monitoring.
张玉环, 毛慧琴, 厉青, 王中挺, 张丽娟, 马鹏飞, 周春艳, 陈辉, 陈翠红. 基于静止卫星GOCI传感器的大气污染过程AOD监测[J]. 中国环境科学, 2018, 38(10): 3647-3653.
ZHANG Yu-huan, MAO Hui-qin, LI Qing, WANG Zhong-ting, ZHANG Li-juan, MA Peng-fei, ZHOU Chun-yan, CHEN Hui, CHEN Cui-hong. An AOD monitoring of air pollution process based on GOCI data. CHINA ENVIRONMENTAL SCIENCECE, 2018, 38(10): 3647-3653.
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