Efficient control of atmospheric sulfate production based on three formation regimes
The formation of sulfate (SO 4 2− ) in the atmosphere is linked chemically to its direct precursor, sulfur dioxide (SO 2 ), through several key oxidation paths for which nitrogen oxides or NO x (NO and NO 2 ) play essential roles. Here we present a coherent description of the dependence of SO 4 2– f...
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Veröffentlicht in: | Nature geoscience 2019-12, Vol.12 (12), p.977-982 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The formation of sulfate (SO
4
2−
) in the atmosphere is linked chemically to its direct precursor, sulfur dioxide (SO
2
), through several key oxidation paths for which nitrogen oxides or NO
x
(NO and NO
2
) play essential roles. Here we present a coherent description of the dependence of SO
4
2–
formation on SO
2
and NO
x
under haze-fog conditions, in which fog events are accompanied by high aerosol loadings and fog-water pH in the range of 4.7–6.9. Three SO
4
2–
formation regimes emerge as defined by the role played by NO
x
. In the low-NO
x
regime, NO
x
act as catalyst for HO
x
, which is a major oxidant for SO
2
, whereas in the high-NO
x
regime, NO
2
is a sink for HO
x
. Moreover, at highly elevated NO
x
levels, a so-called NO
2
-oxidant regime exists in which aqueous NO
2
serves as the dominant oxidant of SO
2
. This regime also exists under clean fog conditions but is less prominent. Sensitivity calculations using an emission-driven box model show that the reduction of SO
4
2–
is comparably sensitive to the reduction of SO
2
and NO
x
emissions in the NO
2
-oxidant regime, suggesting a co-reduction strategy. Formation of SO
4
2−
is relatively insensitive to NO
x
reduction in the low-NO
x
regime, whereas reduction of NO
x
actually leads to increased SO
4
2–
production in the intermediate high-NO
x
regime.
Distinct dependence of atmospheric SO
4
2
–
formation on NO
x
levels in haze-fog events is revealed by SO
4
2
–
production isopleths that are obtained through simulations of atmospheric chemistry with a box model. |
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ISSN: | 1752-0894 1752-0908 |
DOI: | 10.1038/s41561-019-0485-5 |