Elucidating the relationship between aerosol concentration and summertime boundary layer structure in central China

Environ Pollut. 2018 Oct:241:646-653. doi: 10.1016/j.envpol.2018.06.008. Epub 2018 Jun 15.

Abstract

Wuhan, a megacity in central China, suffers from frequent aerosol pollution and is accompanied by meteorological factors at both synoptic and local scales. Partly due to the lack of appropriate observations of planetary boundary layer (PBL), the associations between synoptic conditions, PBL, and pollution there are not yet fully understood. Thus, systematic analyses were conducted using the fine-resolution soundings, surface meteorological measurements, and aerosol observations in Wuhan during summer for the period 2013-2016, in combination with T-mode principal component analysis and simulations of backward trajectory. The results showed that the variations of boundary layer height (BLH) not only modulated the diurnal variation of PM2.5 concentration in Wuhan, but also the daily pollution level. Five different synoptic patterns during summer in Wuhan were identified from reanalysis geopotential height fields. Among these synoptic patterns, two types characterized by northeasterly prevailing winds, were found to be associated with heavy pollution in Wuhan. Driven by the northeasterly winds, the polluted air mass from the heavily polluted regions could be easily transported to Wuhan, such as North China Plain and Yangtze River Delta. Such regional transports of pollutants must be partly responsible for the aerosol pollution in Wuhan. In addition, these two synoptic patterns were also featured by the relatively high cloud cover and low boundary layer height in Wuhan, which would favor the occurrence of pollution there. Overall, this study has important implications for understanding the important roles of meteorological factors in modulating aerosol pollution in central China.

MeSH terms

  • Aerosols / analysis*
  • Air Pollutants / analysis*
  • Air Pollution / analysis
  • Air Pollution / statistics & numerical data*
  • China
  • Environmental Monitoring / methods*
  • Meteorology
  • Particulate Matter / analysis*
  • Rivers
  • Seasons
  • Wind

Substances

  • Aerosols
  • Air Pollutants
  • Particulate Matter