TY - JOUR
T1 - Validation of CALINE4 modelling for carbon monoxide concentrations under free-flowing and congested traffic conditions in Ireland
AU - Broderick, Brian M.
AU - Budd, Una
AU - Misstear, Bruce D.
AU - Ceburnis, Darius
AU - Jennings, S. Gerald
PY - 2005
Y1 - 2005
N2 - Atmospheric dispersion model accuracy is dependent not only on the quality of the data used, but also on the methodology of the model and its user. The air pollution dispersion model CALINE4 (Benson, 1984; 1992) is commonly used in Ireland but was developed outside Ireland and has not been validated for use in Irish conditions. The objective of this work was to validate the use of the model for road traffic emissions in Ireland. However, the results will also be of wider European interest. The model was assessed using one year of air quality data collected at two sites: a free-flowing motorway and a periodically congested roundabout. Model predictions of CO concentrations were generally within ±50% of measured concentrations, though under stable atmospheric conditions, and when wind speeds are low, significant discrepancies may arise. The major difficulty in modelling was found to be the scarcity of local traffic, meteorological and background concentration data.
AB - Atmospheric dispersion model accuracy is dependent not only on the quality of the data used, but also on the methodology of the model and its user. The air pollution dispersion model CALINE4 (Benson, 1984; 1992) is commonly used in Ireland but was developed outside Ireland and has not been validated for use in Irish conditions. The objective of this work was to validate the use of the model for road traffic emissions in Ireland. However, the results will also be of wider European interest. The model was assessed using one year of air quality data collected at two sites: a free-flowing motorway and a periodically congested roundabout. Model predictions of CO concentrations were generally within ±50% of measured concentrations, though under stable atmospheric conditions, and when wind speeds are low, significant discrepancies may arise. The major difficulty in modelling was found to be the scarcity of local traffic, meteorological and background concentration data.
KW - Air quality monitoring
KW - CALINE4
KW - Model validation
KW - Traffic emissions
UR - http://www.scopus.com/inward/record.url?scp=23844507527&partnerID=8YFLogxK
U2 - 10.1504/IJEP.2005.007388
DO - 10.1504/IJEP.2005.007388
M3 - Article
AN - SCOPUS:23844507527
SN - 0957-4352
VL - 24
SP - 104
EP - 113
JO - International Journal of Environment and Pollution
JF - International Journal of Environment and Pollution
IS - 1-4
ER -
