Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Application of multiple wind-roses to improve the modelling of ground-level ozone in the UK
AU - Strong, J.
AU - Whyatt, Duncan
AU - Hewitt, C. N.
PY - 2006/12
Y1 - 2006/12
N2 - The Edinburgh Lancaster Model for Ozone (ELMO) has been previously used to predict ground-level ozone concentrations in the UK. Here we make significant improvements to its modelling performance by the application of more representative meteorology. We find that when ELMO is used with a series of distance weighted (DW) wind-roses, distributed across the whole of the UK, it closely predicts the 98th percentile of the annual hourly ozone concentration typical of summertime ozone episodes as validated against observations at 15 rural monitoring sites. There is, however, still some over-prediction of this metric in urban and sub-urban areas impacted by large emissions of NO,. We use ELMO with DW wind-roses to predict the effects of reductions of precursor emissions on ozone concentrations and demonstrate the extent to which the UK Air Quality Standard (AQS) for ozone is likely to be exceeded across the country in 2010. (c) 2006 Elsevier Ltd. All rights reserved.
AB - The Edinburgh Lancaster Model for Ozone (ELMO) has been previously used to predict ground-level ozone concentrations in the UK. Here we make significant improvements to its modelling performance by the application of more representative meteorology. We find that when ELMO is used with a series of distance weighted (DW) wind-roses, distributed across the whole of the UK, it closely predicts the 98th percentile of the annual hourly ozone concentration typical of summertime ozone episodes as validated against observations at 15 rural monitoring sites. There is, however, still some over-prediction of this metric in urban and sub-urban areas impacted by large emissions of NO,. We use ELMO with DW wind-roses to predict the effects of reductions of precursor emissions on ozone concentrations and demonstrate the extent to which the UK Air Quality Standard (AQS) for ozone is likely to be exceeded across the country in 2010. (c) 2006 Elsevier Ltd. All rights reserved.
KW - ELMO
KW - master chemical mechanism
KW - summertime peak ozone
KW - air quality standards
KW - ORGANIC-COMPOUNDS
KW - SURFACE OZONE
KW - MACE-HEAD
KW - CARBON-MONOXIDE
KW - AIR-POLLUTION
KW - GLOBAL-SCALE
KW - EUROPE
KW - IRELAND
KW - INVENTORY
KW - MECHANISM
U2 - 10.1016/j.atmosenv.2006.07.007
DO - 10.1016/j.atmosenv.2006.07.007
M3 - Journal article
VL - 40
SP - 7480
EP - 7493
JO - Atmospheric Environment
JF - Atmospheric Environment
SN - 1352-2310
IS - 39
ER -