Biomonitoring of atmospheric pollution: a novel approach for the evaluation of natural and anthropogenic contribution to atmospheric aerosol particles

Environ Sci Pollut Res Int. 2017 Mar;24(9):8578-8587. doi: 10.1007/s11356-017-8534-3. Epub 2017 Feb 13.

Abstract

The investigation of the potential natural and anthropogenic contribution to atmospheric aerosol particles by using lichen-bag technique was performed in the Agri Valley (Basilicata region, southern Italy). This is an area of international concern since it houses one of the largest European on-shore reservoirs and the biggest oil/gas pre-treatment plant (i.e., Centro Olio Val d'Agri (COVA)) within an anthropized context. In particular, the concentrations of 17 trace elements (Al, Ca, Cd, Cr, Cu, Fe, K, Li, Mg, Mn, Na, Ni, P, Pb, S, Ti, and Zn) were measured in lichen bags exposed in 59 selected monitoring points over periods of 6 months (from October 2011 to April 2012) and 12 months (from October 2011 to October 2012). The general origin of the main air masses affecting the sampling site during the study period was assessed by the back trajectories clustering calculated using the HYbrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model. The results allowed the identification and characterization of the crustal material, smoke, sea salt, sulfate, and anthropogenic trace element contributions to the atmospheric aerosol particles in the study area. Finally, the application of the trend surface analysis (TSA) allowed the study of the spatial distribution of the considered contributions highlighting the existence of a continuous broad variation of these contributions in the area of interest.

Keywords: Atmospheric aerosol particles; Biomonitoring; Natural and anthropogenic contribution; Trend surface analysis.

MeSH terms

  • Aerosols / analysis*
  • Air Pollutants / analysis*
  • Environmental Monitoring* / methods
  • Ions / analysis
  • Italy
  • Lichens*
  • Trace Elements / analysis

Substances

  • Aerosols
  • Air Pollutants
  • Ions
  • Trace Elements