Source characterization of organic aerosols using Monte Carlo source apportionment of PAHs at two South Asian receptor sites

The quantification of source contributions is of key importance for proposing environmental mitigation strategies for particulate organic matter. Organic molecular tracer analysis of polycyclic aromatic hydrocarbons (PAHs) and n-alkanes was conducted on a set of winter samples from two regional receptor sites in South Asia: the Island of Hanimaadhoo (the Republic of Maldives) and a mountain top near Sinhagad (W. India). Monte Carlo source apportionment (MCSA) techniques were applied to the observed PAH ratios using profiles of a representative range of regional combustion sources from the literature to estimate the relative source contributions from petroleum combustion, coal combustion and biomass burning. One advantage of this methodology is the combined use of the mean and standard deviation of the diagnostic ratios to calculate probability distribution functions for the fractional contributions from petroleum, coal and biomass combustion. The results of this strategy indicate a higher input from coal combustion at the Hanimaadhoo site (32–43 ± 21%) than the Sinhagad site (24–25 ± 18%). The estimated biomass contribution for Sinhagad (53 ± 22%) parallels previous radiocarbon-based source apportionment of elemental carbon at this location (54 ± 3%). In Hanimaadhoo, the MCSA results indicate 34 ± 20% biomass burning contribution compared to 41 ± 5% by radiocarbon apportionment of EC. While the MCSA based on PAH ratio diagnostic distributions are less precise than the radiocarbon-based apportionment, it provides additional information of the relative contribution of two subgroups, coal and petroleum combustion, within the overall contribution from fossil fuel combustion.

► Novel Monte Carlo (MC) source apportionment using diagnostic PAH ratios.
► 27% petroleum, 42% coal and 31% biomass combustion by MC for Maldives TSP.
► 22% petroleum, 24% coal and 54% biomass combustion by MC for Sinhagad TSP.