Dry deposition calculations for the clean air status and trends network
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Cited by (144)
A significant diurnal pattern of ammonia dry deposition to a cropland is detected by an open-path quantum cascade laser-based eddy covariance instrument
2022, Atmospheric EnvironmentCitation Excerpt :Given the good performance of the EC system, longer observations are expected to constrain the annual dry deposition of this agricultural region. The inferential model method is the most common method for the quantification of site-scale reactive nitrogen deposition (Clarke et al., 1997). Using this method, Xu et al. (2015) estimated the monthly dry deposition of NH3 at the Quzhou experimental station, which is very close to our experimental field (2 km in the northwest).
Atmospheric nitrogen deposition: A review of quantification methods and its spatial pattern derived from the global monitoring networks
2021, Ecotoxicology and Environmental SafetyAtmospheric nitrogen deposition in the Chesapeake Bay watershed: A history of change
2021, Atmospheric EnvironmentCitation Excerpt :The data applied in this paper are termed the “Historical Deposition Data” and were preferred for this analysis because the data set extends back to the 1980s, necessary to evaluate long-term temporal trends. Dry deposition was calculated from measurements of HNO3, and particulate NO3− and NH4+ by applying deposition velocity estimates and the Multilayer Model as described by Clarke et al. (1997). Data from these networks are important in exploring temporal patterns because they represent samples collected using consistent field and laboratory methods over many years.
Enhanced atmospheric nitrogen deposition at a rural site in northwest China from 2011 to 2018
2020, Atmospheric ResearchA review of measurements of air-surface exchange of reactive nitrogen in natural ecosystems across North America
2020, Science of the Total EnvironmentCitation Excerpt :However, these networks do not provide measurements of dry deposition. Rather, the measured air concentrations are used to estimate dry deposition using inferential modeling approaches (Clarke et al., 1997; Sickles and Shadwick, 2015; Zhang et al., 2009; Li et al., 2016) or by applying deposition velocities output from chemical transport models (CTMs) (Bowker et al., 2011; Schwede and Lear, 2014). These networks also do not provide information on organic forms of N (ON), which contribute significantly to total Nr deposition (Jickells et al., 2013).
Changes in United States deposition of nitrogen and sulfur compounds over five decades from 1970 to 2020
2019, Atmospheric Environment
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On assignment tc National Exposure Research Laboratory, U.S. Environmental Protection Agency.