Title
Ammonia emission time profiles based on manure transport data improve ammonia modelling across north western Europe
Author
Hendriks, C.
Kranenburg, R.
Kuenen, J.J.P.
van den Bril, B.
Verguts, V.
Schaap, M.
Publication year
2016
Abstract
Accurate modelling of mitigation measures for nitrogen deposition and secondary inorganic aerosol (SIA) episodes requires a detailed representation of emission patterns from agriculture. In this study the meteorological influence on the temporal variability of ammonia emissions from livestock housing and application of manure and fertilizer are included in the chemistry transport model LOTOS-EUROS. For manure application, manure transport data from Flanders (Belgium) were used as a proxy to derive the emission variability. Using improved ammonia emission variability strongly improves model performance for ammonia, mainly by a better representation of the spring maximum. The impact on model performance for SIA was negligible as explained by the limited, ammonia rich region in which the emission variability was updated. The contribution of Flemish agriculture to modelled annual mean ammonia and SIA concentrations in Flanders were quantified at respectively 7-8 and 1-2 μg/m3. A scenario study was performed to investigate the effects of reducing ammonia emissions from manure application during PM episodes by 75%, yielding a maximum reduction in modelled SIA levels of 1-3 μg/m3 during episodes. Year-to-year emission variability and a soil module to explicitly model the emission process from manure and fertilizer application are needed to further improve the modelling of the ammonia budget. © 2016 Elsevier Ltd.
Subject
Urban Mobility & Environment
CAS - Climate, Air and Sustainability
ELSS - Earth, Life and Social Sciences
Environment & Sustainability
Environment
Urbanisation
Ammonia
Air pollution
Emission timing
Source attribution
LOTOS-EUROS
To reference this document use:
http://resolver.tudelft.nl/uuid:6b35e3dd-28c3-4296-a924-96e383af459c
DOI
https://doi.org/10.1016/j.atmosenv.2016.01.043
TNO identifier
533062
Publisher
Elsevier Ltd
ISSN
1352-2310
Source
Atmospheric Environment, 131, 83-96
Document type
article