Identifying Seasonal and Diurnal Variations and the Most Frequently Impacted Zone of Aerosols in the Aral Sea Region

Int J Environ Res Public Health. 2022 Oct 29;19(21):14144. doi: 10.3390/ijerph192114144.

Abstract

With the desiccation of the Aral Sea, salt-alkali dust storms have increased in frequency and the surrounding environment has deteriorated. In order to increase our understanding of the characteristics and potential impact zone of atmospheric aerosols in the Aral Sea region, we evaluated seasonal and diurnal variation of aerosols and identified the zone most frequently impacted by aerosols from the Aral Sea region using CALIPSO data and the HYSPLIT model. The results showed that polluted dust and dust were the two most commonly observed aerosol subtypes in the Aral Sea region with the two accounting for over 75% of observed aerosols. Occurrence frequencies of polluted dust, clean continental, polluted continental/smoke, and elevated smoke showed obvious seasonal and diurnal variations, while occurrence frequency of dust only showed obvious seasonal variation. Vertically, the occurrence frequencies of all aerosol subtypes except dust showed significant diurnal variation at all levels. The thickness of polluted dust layers and dust layers exhibited same seasonal and diurnal variations with a value of more than 1.0 km year-round, and the layer thickness of clean continental and polluted continental/smoke shared the same seasonal and diurnal variation features. The zone most severely impacted by aerosols from the Aral Sea region, covering an area of approximately 2 million km2, was mainly distributed in the vicinity of the Aral Sea region, including western Kazakhstan, and most of Uzbekistan and Turkmenistan. The results provide direct support for positioning monitoring of aeolian dust deposition and human health protection in the Aral Sea region.

Keywords: Aral Sea; Central Asia; aerosols; dust; terminal lake.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aerosols / analysis
  • Air Pollutants* / analysis
  • Dust / analysis
  • Environmental Monitoring / methods
  • Humans
  • Seasons
  • Smoke

Substances

  • Air Pollutants
  • Aerosols
  • Dust
  • Smoke

Grants and funding

This research was funded by the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA2006030102), Natural Science Foundation of Xinjiang Uygur Autonomous Region (2022D01A153), National Natural Science Foundation of China (41501115), CAS “Light of West China” Program (2017-XBQNXZ-B-012), and the Foundation of State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences.