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A Spatial Analysis of Atmospheric Ammonia and Ammonium in the U.K.
As measures are implemented internationally to reduce SO(2) and NO(x) emissions, attention is falling on the contribution of NH(3) emissions to acidification, nitrogen eutrophication, and aerosol formation. In the U.K., a monitoring network has been established to measure the spatial distribution an...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
TheScientificWorldJOURNAL
2001
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6083958/ https://www.ncbi.nlm.nih.gov/pubmed/12805793 http://dx.doi.org/10.1100/tsw.2001.313 |
Sumario: | As measures are implemented internationally to reduce SO(2) and NO(x) emissions, attention is falling on the contribution of NH(3) emissions to acidification, nitrogen eutrophication, and aerosol formation. In the U.K., a monitoring network has been established to measure the spatial distribution and long-term trends in atmospheric gaseous NH(3) and aerosol NH(4). At the same time, an atmospheric chemistry and transport model, FRAME, has been developed with a focus on reduced nitrogen (NH(x)). The monitoring data are important to evaluate the model, while the model is essential for a more detailed spatial assessment. The national network is established with over 80 sampling locations. Measurements of NH(3) and NH(4) (at up to 50 sites) have been made using a new low-cost denuder-filterpack system. Additionally, improved passive sampling methods for NH(3) have been applied to explore local variability. The measurements confirm the high spatial variability of NH(3) (annual means 0.06 to 11 mg NH(3) m), consistent with its nature as a primary pollutant emitted from ground-level sources, while NH(4), being a slowly formed secondary product, shows much less spatial variability (0.14 to 2.4 mg NH(4) m). These features are reproduced in the FRAME model, which provides estimates at a 5-km level. Analysis of the underlying NH(3) emission inventory shows that sheep emissions may have been underestimated and nonagricultural sources overestimated relative to emissions from cattle. The combination of model and measurements is applied to estimate spatial patterns of dry deposition to different vegetation types. The combined approach provides the basis to assess NHx responses across the U.K. to international emission controls. |
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