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
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.