Use this URL to cite or link to this record in EThOS:
Title: A spatially distributed ammonia emissions inventory for the UK
Author: Dragosits, Ulrike
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 1999
Availability of Full Text:
Access from EThOS:
Full text unavailable from EThOS. Please try the link below.
Access from Institution:
In this study, a new methodology for a spatial NH3 emissions inventory for the UK has been developed. In contrast to previous methodologies, the new approach employs a spatial model specifically tailored to NH3, rather than a more general allocation of agricultural sources (livestock and crop categories). Key model input data are agricultural census data (updated to 1996), average nitrogen fertiliser application rates to crops and grassland, landcover data and NH3 source strength estimates. A major aim of this thesis was to identify sources of uncertainty in NH3 emission inventories, both at the national and at the local scale. While previous studies only considered uncertainties in the applied NH3 source strength estimates, all main sources of uncertainty in the model input data as well as the model assumptions were evaluated here, and quantified where possible. The main causes of uncertainty in the national inventory were found to be due to spatial aggregation effects (MAUP), and due to the spatial and temporal variability in source strength, depending on environmental conditions and agricultural practice. A quantitative assessment of the modelled spatial variability within the 5 km NH3 emission estimates was carried out by calculating the % coefficient of variation of from the underlying 1 km results. High values of >150% were found in areas with intensive pig and poultry farming, as well as at the boundary between intensively farmed lowland areas and extensive upland and hill areas. Low values of ~20% are typical for some grassland areas with predominantly cattle farming.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available