Analysis of air pollution episodes over different cites in the Yangtze River Delta
DENG Fa-rong, KANG Na, Kanike Raghavendra Kumar, HU Kang, JIANG Yong-cheng, YU Xing-na
Key Laboratory of Meteorological Disaster, Ministry of Education(KLME), Joint International Research Laboratory of Climate and Environment Change(ILCEC), Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD), Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing 210044, China
Using the Moderate resolution Imaging Spectroradiometer (MODIS) Terra satellite data, we retrieved the Aerosol optical depth (AOD) and Angstrom Exponent (AE) to analyse the four air pollution episodes that occurred during December 2015 and 2016. This combined with the pollutant concentrations of PM2.5 and PM10 and studied their variations along with the ratios observed in Nanjing. The fine model particles represented by PM2.5 which was caused by anthropogenic activities is a main factor resulting in the pollution over this region. Further, the MODIS fire spots and the Navy Aerosol Analysis and Prediction System (NAAPS) aerosol model were used to observe the aerosol sub-types. The pollutant concentrations increased by two times during 12th-16th and 19th-27th December, 2015. This was mainly attributed to increased dominance of fine particles produced from anthropogenic activities; whereas, the dust and smoke particles have less effect over the study region. Added to the above, two another different air pollution episodes noticed during 6th-10th and 15th-18th December, 2016. The Potential Source Contribution Function (PSCF) model was used to analyse the air pollution appeared on 6th-10th December, 2016which was mainly caused by the transport of dust particles from the northwest of China, and smoke particles produced from biomass burning originated from the southern part of China and local anthropogenic activities. The air pollution process during 15th-18th December, 2016 was almost same as that happened with the 2015's which is mainly caused by frequent anthoprogenic activities. It is revealed that the dust and smoke particles aggravated the effects of air pollution during the pollution episodes over Yangtze River Delta.
邓发荣, 康娜, Kanike Raghavendra Kumar, 胡康, 蒋永成, 于兴娜. 长江三角洲地区大气污染过程分析[J]. 中国环境科学, 2018, 38(2): 401-411.
DENG Fa-rong, KANG Na, Kanike Raghavendra Kumar, HU Kang, JIANG Yong-cheng, YU Xing-na. Analysis of air pollution episodes over different cites in the Yangtze River Delta. CHINA ENVIRONMENTAL SCIENCECE, 2018, 38(2): 401-411.
Kang N, Kumar K R, Hu K, et al. Long-term (2002-2014) evolution and trend in Collection 5.1 Level-2aerosol products derived from the MODIS and MISR sensors over the Chinese Yangtze River Delta[J]. Atmospheric Research, 2016,181:29-43.
[14]
Xin J, Gong C, Wang S, et al. Aerosol direct radiative forcing in desert and semi-desert regions of northwestern China. Atmospheric[J]. Atmospheric Research, 2016,171:56-65.
He Q, Zhang M, Huang B. Spatio-temporal variation and impact factors analysis of satellite-based aerosol optical depth over China from 2002 to 2015[J]. Atmospheric Environment, 2016, 129:79-90.
[18]
Mehta M,Singh R, Singh A, et al. Recent global aerosol optical depth variations and trends-A comparative study using MODIS and MISR level 3datasets[J]. Remote Sensing of Environment, 2016,181:137-150.
Wang L, Xin J, Li X, et al. The variability of biomass burning and its influence on regional aerosol properties during the wheat harvest season in North China[J]. Atmospheric Research, 2015, 157:153-163.
Nemesure S, Wagener R, Schwart S E. Direct shortwave forcing of climate by the anthropogenic sulfate aerosol:Sensitivity to particle size,composition, and relative humidity[J]. Journal of Geophysical Research, 1995,100(D12):26105-26116.
