The residential sector is a major
source of air pollutant emission
inventory uncertainties. A nationwide field emission measurement campaign
was conducted in rural China to evaluate the variabilities of realistic
emission factors (EFs) from indoor solid fuel combustion. For a total
of 1313 burning events, the overall average EFs (±standard deviation)
of PM2.5 were 8.93 ± 6.95 and 7.33 ± 9.01 g/kg
for biomass and coals, respectively, and 89.3 ± 51.2 and 114
± 87 g/kg for CO. Higher EFs were found from burning of uncompressed
straws, while lower EFs were found from processed biomass pellets,
coal briquettes, and relatively clean anthracite coals. Modified combustion
efficiency was found to be the most significant factor associated
with variations in CO EFs, whereas for PM2.5, fuel and
stove differences determined its variations. Weak correlations between
PM2.5 and CO indicated high uncertainties in using CO as
a surrogate for PM2.5. EFs accurately fit log-normal distributions,
and obvious spatial heterogeneity was observed attributed to different
fuel–stove combinations across the country. Emission estimation
variabilities, which are determined by the interquartile ranges divided
by the median values, were notably reduced when spatially resolved
EFs were adopted in the inventory.