A model for inventory of ammonia emissions from agriculture in the Netherlands

Velthof, G.L.; Bruggen, C. van; Groenestein, C.M.; Haan, B. J. de; Hoogeveen, M.W.; Huijsmans, J.F.M.

doi:10.1016/j.atmosenv.2011.09.075

Cited by 115 publications

(132 citation statements)

References 28 publications

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“…In relation to official emission inventories such as those reported to EMEP or detailed national inventories (e.g. Velthof et al, 2012), this is an important result. In EMEP as well as in the more detailed national inventories, the total ammonia emission is a product of the number of animals and production methods by using emission factors for e.g.…”

Section: Emission Variations Under Present-day Climatementioning

confidence: 97%

“…In EMEP as well as in the more detailed national inventories, the total ammonia emission is a product of the number of animals and production methods by using emission factors for e.g. housing or storage facilities (Velthof et al, 2012). As such even the more advanced emission models do not fully take into account climate and climate variability as the overall concepts still rely on standard emission factors.…”

Section: Emission Variations Under Present-day Climatementioning

confidence: 99%

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The effect of climate and climate change on ammonia emissions in Europe

Skjøth

Geels

2013

Atmos. Chem. Phys.

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Abstract. We present here a dynamical method for modelling temporal and geographical variations in ammonia emissions in regional-scale chemistry transport models (CTMs) and chemistry climate models (CCMs). The method is based on the meteorology in the models and gridded inventories. We use the dynamical method to investigate the spatiotemporal variability of ammonia emissions across part of Europe and study how these emissions are related to geographical and year-to-year variations in atmospheric temperature alone. For simplicity we focus on the emission from a storage facility related to a standard Danish pig stable with 1000 animals and display how emissions from this source would vary geographically throughout central and northern Europe and from year to year. In view of future climate changes, we also evaluate the potential future changes in emission by including temperature projections from an ensemble of climate models. The results point towards four overall issues. (1) Emissions can easily vary by 20 % for different geographical locations within a country due to overall variations in climate. The largest uncertainties are seen for large countries such as the UK, Germany and France. (2) Annual variations in overall climate can at specific locations cause uncertainties in the range of 20 %. (3) Climate change may increase emissions by 0-40 % in central to northern Europe. (4) Gradients in existing emission inventories that are seen between neighbour countries (e.g. between the UK and France) can be reduced by using a dynamical methodology for calculating emissions. Acting together these four factors can cause substantial uncertainties in emission. Emissions are generally considered among the largest uncertainties in the model calculations made with CTM and CCM models. Efforts to reduce uncertainties are therefore highly relevant.It is therefore recommended that both CCMs and CTMs implement a dynamical methodology for simulating ammonia emissions in a similar way as for biogenic volatile organic compound (BVOCs) -a method that has been used for more than a decade in CTMs. Finally, the climate penalty on ammonia emissions should be taken into account at the policy level such as the NEC and IPPC directives.

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Section: Emission Variations Under Present-day Climatementioning

confidence: 97%

Section: Emission Variations Under Present-day Climatementioning

confidence: 99%

The effect of climate and climate change on ammonia emissions in Europe

Skjøth

Geels

2013

Atmos. Chem. Phys.

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“…The emission of PM2.5 in both years amounted to 0.6 million kg. (Velthof et al, 2009;Velthof et al, 2012;Vonk et al, 2016 Vonk et al (2016 1 ).…”

Section: Results For Methane Particulate Matter and Co2 From Calcarementioning

confidence: 99%

“…De berekening van ammoniakemissie tijdens beweiding is beschreven in Velthof et al (2009) en Vonk et al (2016. Naar aanleiding van een internationale review van de rekenmethodiek (Sutton et al, 2015) is besloten de emissiefactor voor beweiding aan te passen.…”

Section: Mesttoedieningunclassified

“…Er is daarom besloten om een ondergrens te hanteren voor de emissiefactor van 4,0%. Deze waarde is de laagst gemeten waarde in de originele onderzoeksdata met emissiefactoren voor beweiding (Bussink, 1992;Velthof et al, 2009 hoger, omdat er bij die methode meer N beschikbaar is voor nitrificatie en denitrificatie. De toegepaste emissiefactoren zijn gewogen gemiddelden over bodemtypen uit Nederlands onderzoek (Vonk et al, 2016).…”

Section: Mesttoedieningunclassified

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Emissies naar lucht uit de landbouw in 2014 : berekeningen met het model NEMA

Bruggen¹,

Bannink²,

Groenestein³

et al. 2017

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Ammonia emissions in the United States, European Union, and China derived by high‐resolution inversion of ammonium wet deposition data: Interpretation with a new agricultural emissions inventory (MASAGE_NH3)

et al. 2014

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We use the adjoint of a global 3-D chemical transport model (GEOS-Chem) to optimize ammonia (NH 3 ) emissions in the U.S., European Union, and China by inversion of 2005-2008 network data for NH + 4 wet deposition fluxes. Optimized emissions are derived on a 2 • × 2.5 • grid for individual months and years. Error characterization in the optimization includes model errors in precipitation. Annual optimized emissions are 2.8 Tg NH 3 −N a −1 for the contiguous U.S., 3.1 Tg NH 3 −N a −1 for the European Union, and 8.4 Tg NH 3 −N a −1 for China. Comparisons to previous inventories for the U.S. and European Union show consistency (∼±15%) in annual totals but some large spatial and seasonal differences. We develop a new global bottom-up inventory of NH 3 emissions (Magnitude And Seasonality of Agricultural Emissions model for NH3 (MASAGE_NH3)) to interpret the results of the adjoint optimization. MASAGE_NH3 provides information on the magnitude and seasonality of NH 3 emissions from individual crop and livestock sources on a 0.5 • × 0.5 • grid. We find that U.S. emissions peak in the spring in the Midwest due to corn fertilization and in the summer elsewhere due to manure. The seasonality of European emissions is more homogeneous with a well-defined maximum in spring associated with manure and mineral fertilizer application. There is some evidence for the effect of European regulations of NH 3 emissions, notably a large fall decrease in northern Europe. Emissions in China peak in summer because of the summertime application of fertilizer for double cropping.

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A model for inventory of ammonia emissions from agriculture in the Netherlands

Cited by 115 publications

References 28 publications

The effect of climate and climate change on ammonia emissions in Europe

The effect of climate and climate change on ammonia emissions in Europe

Emissies naar lucht uit de landbouw in 2014 : berekeningen met het model NEMA

Ammonia emissions in the United States, European Union, and China derived by high‐resolution inversion of ammonium wet deposition data: Interpretation with a new agricultural emissions inventory (MASAGE_NH3)

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