Temporal Variability and Potential Diffusion Characteristics of Dust Aerosol Originating from the Aral Sea Basin, Central Asia

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• 作者：Yongxiao Ge ; Jilili Abuduwaili ; Long Ma ; Dongwei Liu
• 关键词：Potential diffusion ; Aerosol ; Dust storms ; Central Asia ; Aral Sea
• 刊名：Water, Air, and Soil Pollution
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：227
• 期：2
• 全文大小：13,980 KB
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• 作者单位：Yongxiao Ge (1) (2) (3)
  Jilili Abuduwaili (1) (3)
  Long Ma (1) (3)
  Dongwei Liu (4)
  
  1. State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, No. 818 South Beijing Road, Urumqi, 830011, Xinjiang, People’s Republic of China
  2. University of Chinese Academy of Sciences, Beijing, 100049, People’s Republic of China
  3. CAS Research Center for Ecology and Environment of Central Asia, Urumqi, 830011, People’s Republic of China
  4. College of Environment and Resources of Inner Mongolia University, Hohhot, 010021, People’s Republic of China
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Environment
  Environment
  Atmospheric Protection, Air Quality Control and Air Pollution
  Waste Water Technology, Water Pollution Control, Water Management and Aquatic Pollution
  Terrestrial Pollution
  Hydrogeology
  
• 出版者：Springer Netherlands
• ISSN：1573-2932

文摘

The drastic desiccation of the Aral Sea has led to severe desertification of the former lake areas. Dust storms occur frequently, causing regional environmental degradation of the Aral basin and a serious ecological disaster. Knowledge of the temporal variability in dust emissions and the potential diffusion characteristics of dust aerosol originating from the Aral Sea basin in recent years are, however, lacking. To address this knowledge gap, we studied the interannual and intraannual changes in dust aerosol from the Aral Sea basin and its potentially seasonal diffusion characteristics from 2005 to 2013 using Ozone Monitoring Instrument (OMI) aerosol data (2005–2013) and the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model. Results show that the OMI aerosol index (AI) annual mean, standard deviation, median, and maximum values exhibit a strong increasing trend because of the continuous decrease in the water level since 2005. The annually mean OMI AI increases to 1.47 by 2013. Peak AI values are recorded in spring (March–May) and early winter (November–January of the following year), indicating notifying seasonal differences. The potential distance and height of air parcel trajectories to the northeast are greater than those to the west and south, whereas the air parcel trajectory proportion of the former is lower than that of the latter. The potential transport distance of dust aerosol to the northeast is greatest in spring and winter. This transport distance is less in autumn, with the minimum observed in summer. Dust transport distance to the west and south in different seasons is not significantly different. The present results may help in further understanding the emission, long-range transport, and deposition of dust from the dry lake bed of the Aral Sea as well as providing a motivation for the sensible use and protection of these tail-end lakes.