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Comparison of dry deposition velocities for SO2, HNO3 and SO4 2− estimated with two inferential models
Authors:J. R. Brook  A. Sirois  J. F. Clarke
Affiliation:1. Atmospheric Environment Service, 4905 Dufferin Street, M3H 5T4, Downsview, Ontario, Canada
2. Atmospheric Sciences Modeling Divison, Air Resources Laboratory, National Oceanic and Atmospheric Administration, 27711, Research Triangle Park, NC, USA
Abstract:Dry deposition velocity estimates of SO, HNO3 and SO4 2? were computed for six locations in eastern North America using two different inferential models; a Big-Leaf model utilized by the U. S. National Dry Deposition Network (NDDN) and, a land-use based model (LUM) that has been used in the past to estimate the relative importance of dry versus wet deposition over selected Canadian regions. There were consistent differences between models that were related to the surface type, chemical species and time of year. Mean monthly dry deposition velocities based upon the 1990–91 time period were compared at two locations. The seasonal cycles in deposition velocity were similar between models, but there were considerable differences in the amplitude of the cycles. The LUM predicted about a 400% increase in S042- deposition velocity from the winter to the summer months, while there was a 50 to 100% increase in the NDDN model estimates, depending upon location. According to the LUM, HN03 deposition to crop land increased by about a factor of 6 from winter to summer, while the big leaf model predicted a 50% increase. Overall, there was better agreement for SO2. Averaged over 12 months, the differences in deposition velocity between models were smaller and generally within the range of uncertainty associated with inferential models. For all six sites, the mean percent difference between models in deposition velocity for SO2, HNO3 and SO4 2? were 13, 35 and 79, respectively. These differences highlight the effect of using different methods for estimating dry deposition and the importance of applying the same model when examining regional patterns in dry/total deposition rates.
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