Abstract. Emissions from biomass burning are an important source of mercury (Hg) to
the atmosphere and an integral component of the global Hg biogeochemical
cycle. In 2018, measurements of gaseous elemental Hg (GEM) were taken
on board a research aircraft along with a series of co-emitted contaminants
in the emissions plume of an 88 km2 boreal forest wildfire on the
Garson Lake Plain (GLP) in NW Saskatchewan, Canada. A series of four flight
tracks were made perpendicular to the plume at increasing distances from the
fire, each with three to five passes at different altitudes at each downwind
location. The maximum GEM concentration measured on the flight was
2.88 ng m−3, which is ≈ 2.4× background concentration. GEM
concentrations were significantly correlated with the co-emitted carbon
species (CO, CO2, and CH4). Emissions ratios (ERs) were calculated
from measured GEM and carbon co-contaminant data. Using the most correlated
(least uncertain) of these ratios (GEM:CO), GEM concentrations were
estimated at the higher 0.5 Hz time resolution of the CO measurements,
resulting in maximum GEM concentrations and enhancements of 6.76 ng m−3
and ≈ 5.6×, respectively. Extrapolating the estimated maximum 0.5 Hz
GEM concentration data from each downwind location back to source, 1 km and
1 m (from fire) concentrations were predicted to be 12.9 and 30.0 ng m−3, or enhancements of ≈ 11× and ≈ 25×, respectively.
ERs and emissions factors (EFs) derived from the measured data and
literature values were also used to calculate Hg emissions estimates on
three spatial scales: (i) the GLP fires themselves, (ii) all boreal forest
biomass burning, and (iii) global biomass burning. The most robust estimate
was of the GLP fires (21 ± 10 kg of Hg) using calculated EFs that used
minimal literature-derived data. Using the Top-down Emission Rate Retrieval
Algorithm (TERRA), we were able to determine a similar emission estimate of
22 ± 7 kg of Hg. The elevated uncertainties of the other estimates and
high variability between the different methods used in the calculations
highlight concerns with some of the assumptions that have been used in
calculating Hg biomass burning in the literature. Among these problematic
assumptions are variable ERs of contaminants based on vegetation type and
fire intensity, differing atmospheric lifetimes of emitted contaminants, the
use of only one co-contaminant in emissions estimate calculations, and the
paucity of atmospheric Hg species concentration measurements in biomass
burning plumes.