Drivers for spatial, temporal and long-term trends in atmospheric ammonia and ammonium in the UK

A unique long-term dataset from the UK National Ammonia Monitoring Network (NAMN) is used here to assess spatial, seasonal and long-term variability in atmospheric ammonia (NH3: 1998–2014) and particulate ammonium (NH4+: 1999–2014) across the UK. Extensive spatial heterogeneity in NH3 concentrations...

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Veröffentlicht in:	Atmospheric chemistry and physics 2018-01, Vol.18 (2), p.705-733
Hauptverfasser:	Tang, Yuk S, Braban, Christine F, Dragosits, Ulrike, Dore, Anthony J, Simmons, Ivan, van Dijk, Netty, Poskitt, Janet, Dos Santos Pereira, Gloria, Keenan, Patrick O, Conolly, Christopher, Vincent, Keith, Smith, Rognvald I, Heal, Mathew R, Sutton, Mark A
Format:	Artikel
Sprache:	eng
Schlagworte:	Acidification Agriculture Air pollution Ammonia Ammonium Ammonium compounds Animal wastes Atmospheric composition Atmospheric research Cattle Chemical properties Data Data processing Emission Emission inventories Emissions Environmental aspects Environmental conditions Environmental monitoring Eutrophication Farming Gases Heterogeneity Intensive farming Livestock farming Monitoring Nitrogen compounds Patchiness Poultry Poultry farming Reduction Seasonal variability Sheep Spatial heterogeneity Spatial variability Spatial variations Spring Spring (season) Sulfur dioxide Summer Summer temperatures Trends Vapor phases Variability Vegetation Volatilization
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Beschreibung
Zusammenfassung:	A unique long-term dataset from the UK National Ammonia Monitoring Network (NAMN) is used here to assess spatial, seasonal and long-term variability in atmospheric ammonia (NH3: 1998–2014) and particulate ammonium (NH4+: 1999–2014) across the UK. Extensive spatial heterogeneity in NH3 concentrations is observed, with lowest annual mean concentrations at remote sites (
ISSN:	1680-7324 1680-7316 1680-7324
DOI:	10.5194/acp-18-705-2018