1991
DOI: 10.1080/10473289.1991.10466870
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Evaluation of the Effects of Emission Reductions on Secondary Particulate Matter in the South Coast Air Basin of California

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Cited by 5 publications
(1 citation statement)
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“…Following eq 2, estimates of the seasonal-or annual-average Ψ S from this study can be multiplied simply by estimates of the change in sulfate concentration per unit change in SO 2 emissions-over the same time scale and for the source regions that most influence concentrations at the receptor-to give a direct estimate of the change in PM 2.5 per unit change in SO 2 emissions. Alternatively, future work can embed aerosol models within three-dimensional models of transport and chemical conversion (see, for example, Pilinis and Farber 30 ). Such deterministic approaches would account better for geographical and seasonal differences in the sulfate yield per unit change in SO 2 emissions, which will influence the efficacy of SO 2 emissions reductions at different locations, although they would also rely on uncertain meteorology and emissions inventories.…”
Section: Annual Avg Expected Summermentioning
confidence: 99%
“…Following eq 2, estimates of the seasonal-or annual-average Ψ S from this study can be multiplied simply by estimates of the change in sulfate concentration per unit change in SO 2 emissions-over the same time scale and for the source regions that most influence concentrations at the receptor-to give a direct estimate of the change in PM 2.5 per unit change in SO 2 emissions. Alternatively, future work can embed aerosol models within three-dimensional models of transport and chemical conversion (see, for example, Pilinis and Farber 30 ). Such deterministic approaches would account better for geographical and seasonal differences in the sulfate yield per unit change in SO 2 emissions, which will influence the efficacy of SO 2 emissions reductions at different locations, although they would also rely on uncertain meteorology and emissions inventories.…”
Section: Annual Avg Expected Summermentioning
confidence: 99%