Numerical models have been developed to elucidate air
pollution
caused by sulfate aerosols (SO
4
2–
). However,
typical models generally underestimate SO
4
2–
, and oxidation processes have not been validated. This study improves
the modeling of SO
4
2–
formation processes
using the mass-independent oxygen isotopic composition [
17
O-excess; Δ
17
O(SO
4
2–
)], which reflects pathways from sulfur dioxide (SO
2
)
to SO
4
2–
, at the background site in Japan
throughout 2015. The standard setting in the Community Multiscale
Air Quality (CMAQ) model captured SO
4
2–
concentration, whereas Δ
17
O(SO
4
2–
) was underestimated, suggesting that oxidation processes
were not correctly represented. The dust inline calculation improved
Δ
17
O(SO
4
2–
) because
dust-derived increases in cloud-water pH promoted acidity-driven SO
4
2–
production, but Δ
17
O(SO
4
2–
) was still overestimated during winter
as a result. Increasing solubilities of the transition-metal ions,
such as iron, which are a highly uncertain modeling parameter, decreased
the overestimated Δ
17
O(SO
4
2–
) in winter. Thus, dust and high metal solubility are essential factors
for SO
4
2–
formation in the region downstream
of China. It was estimated that the remaining mismatch of Δ
17
O(SO
4
2–
) between the observation
and model can be explained by the proposed SO
4
2–
formation mechanisms in Chinese pollution. These accurately modeled
SO
4
2–
formation mechanisms validated
by Δ
17
O(SO
4
2–
) will
contribute to emission regulation strategies required for better air
quality and precise climate change predictions over East Asia.