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Using the National Dry Deposition Network (NDDN) as a foundation, the U.S. Environmental Protection Agency (EPA) established the Clean Air Status and Trends Network (CASTNet) in 1991 to provide data for determining relationships between emissions and atmospheric deposition. CASTNet utilizes the Multi-layer Model (MLM), a micrometeorological model, to estimate deposition velocities and simulate dry deposition of pollutants. The MLM requires numerous meteorological measurements including wind speed, standard deviation of the wind direction, temperature, relative humidity, and surface wetness. Also as input, the MLM uses plant speciation data specific to each monitoring site. Speciation data include minimum and maximum leaf area index (LAI) values as well as leaf-out profiles characterizing the surroundings of the site within a radius of 1 km of its location. This paper explores uncertainties in the MLM and its sensitivity to these meteorological and vegetation measurements as well as how those uncertainties and sensitivities might affect estimates and analysis of dry deposition of sulfur and nitrogen air pollutants.
In addition, estimates of wet deposition from the National Atmospheric Deposition Program/National Trends Network (NADP/NTN) are combined with the modeled dry deposition fluxes to obtain information on total deposition of pollutants. This paper also examines the sensitivity of estimates of total deposition to input parameters such as precipitation rates and how these might affect estimates of trends.
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CNumber:
ACE 2003 - San Diego, CA June 22-26, 2003
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Publication Type:
Proceedings
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Publication Date:
June 2003
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