Title of article :
Particulate sulphate and nitrate in Southern England and Northern
Ireland during 2002/3 and its formation in a photochemical
trajectory model
Author/Authors :
Salah S. Abdalmogith، نويسنده , , Roy M. Harrison a، نويسنده , , ?، نويسنده , , Richard G. Derwent، نويسنده ,
Issue Information :
هفته نامه با شماره پیاپی سال 2006
Abstract :
Daily measurements of sulphate and nitrate are reported from Harwell in southern England and Belfast in Northern Ireland for
the period 2002/3. When the higher percentiles are compared with the mean concentration, nitrate reveals considerably greater
episodicity than either sulphate or PM10 (measured by TEOM). A photochemical trajectory model using the Master Chemical
Mechanism scheme has been used to predict daily concentrations of both nitrate and sulphate aerosol over the period March to
August 2002 at the Belfast and Harwell sites. This has been carried out for daily samples using 72, 96 and 120 h air mass back
trajectories obtained from both the British Atmospheric Data Centre and the HYSPLIT on-line service. Additionally, model
simulations have been conducted for 5 trajectories generated through clustering of the trajectories for individual days. This reveals
an under-prediction of the model associated particularly with trajectories originating from the European mainland. In general, the
model performs reasonably well in simulating concentrations of both nitrate and sulphate, which is surprising given that the model
does not account for processes requiring the presence of liquid water. This suggests that aqueous phase oxidation processes may not
make a major contribution to airborne sulphate concentrations in the U.K. in the spring and summer months. It appears that
inclusion of explicit ammonium nitrate formation chemistry may be essential to reliable prediction of episodic nitrate peaks.
Keywords :
secondary aerosol , particulates , Modelling , Back trajectory , sulphate , nitrate
Journal title :
Science of the Total Environment
Journal title :
Science of the Total Environment