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A Spatial Analysis of Atmospheric Ammonia and Ammonium in the U.K.

机译:英国大气氨气和氨气的空间分析

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摘要

As measures are implemented internationally to reduce SO2 and NOx emissions, attention is falling on the contribution of NH3 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 NH3 and aerosol NH4. At the same time, an atmospheric chemistry and transport model, FRAME, has been developed with a focus on reduced nitrogen (NHx). 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 NH3 and NH4 (at up to 50 sites) have been made using a new low-cost denuder-filterpack system. Additionally, improved passive sampling methods for NH3 have been applied to explore local variability. The measurements confirm the high spatial variability of NH3 (annual means 0.06 to 11 mg NH3 m), consistent with its nature as a primary pollutant emitted from ground-level sources, while NH4, being a slowly formed secondary product, shows much less spatial variability (0.14 to 2.4 mg NH4 m). These features are reproduced in the FRAME model, which provides estimates at a 5-km level. Analysis of the underlying NH3 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.
机译:随着国际上为减少SO2和NOx排放而采取的措施,人们越来越关注NH3排放对酸化,氮富营养化和气溶胶形成的贡献。在英国,已建立了一个监测网络,以测量大气气态NH3和气溶胶NH4的空间分布和长期趋势。同时,开发了大气化学和运输模型FRAME,重点是还原氮(NHx)。监视数据对于评估模型很重要,而模型对于更详细的空间评估至关重要。建立了全国网络,拥有80多个采样点。 NH3和NH4的测量(多达50个位置)已使用一种新型的低成本Denuder-filterpack系统进行了测量。此外,已将改进的NH3被动采样方法用于探索局部变异性。这些测量结果证实了NH3的高空间变异性(年均0.06至11 mg NH3 m),与其从地面源排放的主要污染物的性质相符,而NH4是一种缓慢形成的次级产物,其空间变异性要小得多。 (0.14至2.4 mg NH4 m)。这些功能复制在FRAME模型中,该模型提供5公里级别的估算值。对潜在的NH3排放清单的分析表明,相对于牛的排放,绵羊的排放可能被低估了,而非农业的来源被高估了。应用模型和测量值的组合来估算不同植被类型的干沉降的空间格局。组合方法为评估英国对国际排放控制的NHx响应提供了基础。

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