Ammonia emission factors for UK agriculture

Misselbrook, Tom; Weerden, Tony J. van der; Pain, B. F.; Jarvis, S. C.; Chambers, B. J.; Smith, K. A.; Phillips, V.R.; Demmers, T. G. M.

doi:10.1016/s1352-2310(99)00350-7

Cited by 289 publications

(147 citation statements)

References 18 publications

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“…Most atmospheric ammonia (NH 3 ) originates from agricultural activities (Misselbrook et al, 2000;Van der Hoek, 1998). Intensive livestock farming, i.e.…”

Section: Introductionmentioning

confidence: 99%

Heterogeneity of atmospheric ammonia at the landscape scale and consequences for environmental impact assessment

Vogt

Dragosits

Braban

et al. 2013

Environmental Pollution

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Scott; Rees, Robert M.; Sutton, Mark A. 2013. Heterogeneity of atmospheric ammonia at the landscape scale and consequences for environmental impact assessment.Contact CEH NORA team at noraceh@ceh.ac.ukThe NERC and CEH trademarks and logos ('the Trademarks') are registered trademarks of NERC in the UK and other countries, and may not be used without the prior written consent of the Trademark owner. AbstractWe examined the consequences of the spatial heterogeneity of atmospheric ammonia (NH 3 ) by measuring and modelling NH 3 concentrations and deposition at 25 m grid resolution for a rural landscape containing intensive poultry farming, agricultural grassland, woodland and moorland. The emission pattern gave rise to a high spatial variability of modelled mean annual NH 3 concentrations and dry deposition. Largest impacts were predicted for woodland patches located within the agricultural area, while larger moorland areas were at low risk, due to atmospheric dispersion, prevailing wind direction and low NH 3 background. These high resolution spatial details are lost in national scale estimates at 1 km resolution due to less detailed emission input maps. The results demonstrate how the spatial arrangement of sources and sinks is critical to defining the NH 3 risk to seminatural ecosystems. These spatial relationships provide the foundation for local spatial planning approaches to reduce environmental impacts of atmospheric NH 3 . Capsule:Fine scale resolution modelling to reproduce the spatial heterogeneity of atmospheric NH 3 concentrations and deposition is critical for NH 3 risk assessment on sensitive ecosystems. Highlights:• Local farm inventory provided field-level emissions for high resolution modelling• Model-derived concentrations were compared against intensive spatial measurements• Spatial arrangement of NH 3 sources and sinks is critical to environmental impact• Average national emission factors were not appropriate for an NH 3 risk assessment• Modelling at 1 km resolution did not capture the full spatial variability of NH 3

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“…Most atmospheric ammonia (NH 3 ) originates from agricultural activities (Misselbrook et al, 2000;Van der Hoek, 1998). Intensive livestock farming, i.e.…”

Section: Introductionmentioning

confidence: 99%

Heterogeneity of atmospheric ammonia at the landscape scale and consequences for environmental impact assessment

Vogt

Dragosits

Braban

et al. 2013

Environmental Pollution

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“…The AENEID model redistributes agricultural emissions across the landscape by weighting the source strength of five broad management activitieslivestock grazing, livestock housing, manure storage, land-spreading of manures and mineral fertiliser application. Emission source strength data (emission factors) are calculated annually for the UK agricultural emission inventory (Misselbrook et al 2010). The spatial distribution of ammonia emissions from agricultural sources for 2008 is illustrated in Figure 1.…”

Section: Atmospheric Dispersion Modellingmentioning

confidence: 99%

“…In the UK, agricultural practises currently accounts for over 80% of NH3 emissions (Sutton, et al, 2001;Misselbrook et al, 2010). Four main categories of agricultural management activities can be identified as key sources of ammonia: emissions from housing, grazing, storage and manure spreading, and fertiliser use (Misselbrook et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…Four main categories of agricultural management activities can be identified as key sources of ammonia: emissions from housing, grazing, storage and manure spreading, and fertiliser use (Misselbrook et al, 2010). Ammonia emissions at the local scale vary greatly within the landscape and dry deposition of ammonia occurs especially close to sources (Hellsten et al, 2008;Dragosits et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

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The potential for tree planting strategies to reduce local and regional ecosystem impacts of agricultural ammonia emissions

Bealey

Dore

Dragosits

et al. 2016

Journal of Environmental Management

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“…Approximately, 90% of NH 3 emissions would be due to agriculture, in several European countries, 40% of which coming from animal housing and manure storage (Pain et al, 1998;Misselbrook et al, 2000). NH 3 emissions can lead to health issues for farmers and animals.…”

Section: Introductionmentioning

confidence: 99%

Modelling of manure production by pigs and NH3, N2O and CH4 emissions. Part II: effect of animal housing, manure storage and treatment practices

Rigolot

Espagnol²,

Robin³

et al. 2010

Animal

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A model has been developed to predict pig manure evolution (mass, dry and organic matter, N, P, K, Cu and Zn contents) and related gaseous emissions (methane (CH 4 ), nitrous oxide (N 2 O) and ammonia (NH 3 )) from pig excreta up to manure stored before spreading. This model forms part of a more comprehensive model including the prediction of pig excretion. The model simulates contrasted management systems, including different options for housing (slatted floor or deep litter), outside storage of manure and treatment (anaerobic digestion, biological N removal processes, slurry composting (SC) with straw and solid manure composting). Farmer practices and climatic conditions, which have significant effects on gaseous emissions within each option, have also been identified. The quantification of their effects was based on expert judgement from literature and local experiments, relations from mechanistic models or simple emission factors, depending on existing knowledge. The model helps to identify relative advantages and weaknesses for each system. For example, deep-litter with standard management practices is associated with high-greenhouse gas (GHG) production (1125% compared to slatted floor) and SC on straw is associated with high NH 3 emission (115% compared to slatted floor). Another important result from model building and first simulations is that farmer practices and the climate induce an intra-system (for a given infrastructure) variability of NH 3 and GHG emissions nearly as high as inter-system variability. For example, in deep-litter housing systems, NH 3 and N 2 O emissions from animal housing may vary between 6% and 53%, and between 1% and 19% of total N excreted, respectively. Thus, the model could be useful to identify and quantify improvement margins on farms, more precisely or more easily than current methodologies.

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Ammonia emission factors for UK agriculture

Cited by 289 publications

References 18 publications

Heterogeneity of atmospheric ammonia at the landscape scale and consequences for environmental impact assessment

Heterogeneity of atmospheric ammonia at the landscape scale and consequences for environmental impact assessment

The potential for tree planting strategies to reduce local and regional ecosystem impacts of agricultural ammonia emissions

Modelling of manure production by pigs and NH3, N2O and CH4 emissions. Part II: effect of animal housing, manure storage and treatment practices

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