Prediction Method Of Annual Averaged
Atmospheric Pollutant Concentration Using A
Numerical Simulation
Author(s)
A. Kondo, N. Morita, A. Kaga & Y. Inoue
Abstract
In order to obtain the annual averaged atmospheric pollution concentration by a
numerical model, we classified the meteorological data for a year into 12 climate
types, which occupy 76% of all data except for a rainy day. We then predicted
the wind field distribution and the atmospheric pollutant concentration for a day
for each type. The target region is Osaka, Japan and the size of the region is
160km x 370km. The annual averaged atmospheric pollutant concentration was
calculated from the weight average of the frequency of each climate type. The
correlation coefficient of the calculation and the observation for nitrogen
dioxide, sulphur dioxide, and ozone became 0.63, 0.43, and 0.18, respectively.
We think that there are some issues about the estimation of the amounts of HC
and NOx
Keywords
Related Book
Other papers in this volume
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