The uncertainty in modelled air concentrations of NOx due to choice of emissions inventory
article
Emission data, together with meteorology, is the most important
input to air quality models. In this work we compare two simulations,
performed with the fine resolution atmospheric multi-pollutant exchange
(FRAME) model. In the first model run, we use an emission inventory prepared
for Poland by downscaling the national total emissions to a 5 km × 5 km
resolution grid. For the second model run, we replace the NOx road transport
emission with the TNO-MACC II emission inventory available for the entire
Europe. The grid mesh of both emission inventories was unified for this work
to a 5 km × 5 km resolution, as required by the FRAME model. The FRAME
model is run for the year 2008 and compared with the NOx measurements. Both
inventories are in close spatial agreement, with a grid to grid correlation
coefficient of 0.75. The FRAME model run with TNO-MACC II emission
inventory shows better agreement with NOx measurements gathered at 106
stations if the mean bias is considered. For the model run with TNO-MACC II
inventory, bias is –0.7 μg m–3, and the RMSE is 8.19 μg m–3. The bias for the
FRAME model run with the national road transport emission inventory is –3.10
μg m–3 and the RMSE 7.97 μg m -3
input to air quality models. In this work we compare two simulations,
performed with the fine resolution atmospheric multi-pollutant exchange
(FRAME) model. In the first model run, we use an emission inventory prepared
for Poland by downscaling the national total emissions to a 5 km × 5 km
resolution grid. For the second model run, we replace the NOx road transport
emission with the TNO-MACC II emission inventory available for the entire
Europe. The grid mesh of both emission inventories was unified for this work
to a 5 km × 5 km resolution, as required by the FRAME model. The FRAME
model is run for the year 2008 and compared with the NOx measurements. Both
inventories are in close spatial agreement, with a grid to grid correlation
coefficient of 0.75. The FRAME model run with TNO-MACC II emission
inventory shows better agreement with NOx measurements gathered at 106
stations if the mean bias is considered. For the model run with TNO-MACC II
inventory, bias is –0.7 μg m–3, and the RMSE is 8.19 μg m–3. The bias for the
FRAME model run with the national road transport emission inventory is –3.10
μg m–3 and the RMSE 7.97 μg m -3
TNO Identifier
532688
Source
International Journal of Environment and Pollution, 57(3/4), pp. 123-132.
Pages
123-132
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