Spectroscopic detection of bioaerosols with the wibs-4+: Anthropogenic and meteorological impacts

Sci Total Environ. 2024 Sep 15:943:173649. doi: 10.1016/j.scitotenv.2024.173649. Epub 2024 Jun 8.

Abstract

This research builds upon a previous study that explored the potential of the modified WIBS-4+ to selectively differentiate and detect different bioaerosol classes. The current work evaluates the influence of meteorological and air quality parameters on bioaerosol concentrations, specifically pollen and fungal spore dynamics. Temperature was found to be the most influential parameter in terms of pollen production and release, showing a strong positive correlation. Wind data analysis provided insights into the potential geographic origins of pollen and fungal spore concentrations. Fungal spores were primarily shown to originate from a westerly direction, corresponding to agricultural land use, whereas pollen largely originated from a North-easterly direction, corresponding to several forests. The influence of air quality was also analysed to understand its potential impact on the WIBS fluorescent parameters investigated. Most parameters had a negative association with fungal spore concentrations, whereas several anthropogenic influences showed notable positive correlations with daily pollen concentrations. This is attributed to similar driving forces (meteorological parameters) and geographical origins. In addition, the WIBS showed a significant correlation with anthropogenic pollutants originating from combustion sources, suggesting the potential for such modified spectroscopic instruments to be utilized as air quality monitors. By combining all meteorological and pollution data along with WIBS-4+ channel data, a set of Multiple Linear Regression (MLR) analyses were completed. Successful results with R2 values ranging from 0.6 to 0.8 were recorded. The inclusion of meteorological parameters was dependent on the spore or pollen type being examined.

Keywords: Ambient atmosphere; Bioaerosols; Human health effects; Meteorology; Real-time monitoring; Remote sensing.

MeSH terms

  • Aerosols* / analysis
  • Air Microbiology
  • Air Pollutants* / analysis
  • Air Pollution / statistics & numerical data
  • Environmental Monitoring* / methods
  • Pollen*
  • Spectrum Analysis / methods
  • Spores, Fungal*
  • Wind

Substances

  • Aerosols
  • Air Pollutants