A model tool for assessing real-time mixing of mineral and anthropogenic pollutants in East Asia: a case study of April 2005 F. Lasserre1, G. Cautenet1, C. Bouet1, X. Dong2, Y. J. Kim3, N. Sugimoto4, I. Matsui4, and A. Shimizu4 1Laboratoire de Météorologie Physique, Université Blaise Pascal, Complexe scientifique des Cézeaux, BP 45, 63170, Aubière, France 2Sino-Japan Friendship Center for Environmental Protection, Beijing 100029, China 3Advanced Environment Monitoring Research Center, Department of Environmental Science and Engineering, Gwangju Institute of Science and Technology, 1 Oryong-dong, Gwangju 500-712, Korea 4National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan
Abstract. In order to assess the complex mixing of atmospheric anthropogenic and
natural pollutants over the East Asian region, we present a modelling tool
which takes into account the main aerosols which are to be found
simultaneously over China, Korea and Japan during springtime. Using the
mesoscale RAMS (Regional Atmospheric Modeling System) tool, we present a
simulation of natural (desert) dust events along with some of the most
critical anthropogenic pollutants over East Asia, sulphur elements (SO2
and SO2-4) and Black Carbon (BC).
As regards a one-week case study of dust events which occurred during late
April 2005 over an area extending from the Gobi deserts to the Japan
surroundings, we satisfactorily model the behaviours of the different
aerosol plumes. We focus on possible dust mixing with the anthropogenic
pollutants from megacities. For both natural and anthropogenic pollution,
the model results are in fairly good agreement with the horizontal and
vertical distributions of concentrations as measured by in situ LIDAR, and as
observed in remote data, PM10 data and literature. In particular, we
show that a simplified chemistry approach of this complex issue is
sufficient to model this event, with a real-time step of 3 h. The model
reproduces the main patterns and orders of magnitude for Aerosol Optical
Thickness (AOT) and species contributions (via the Angström Exponent)
when compared with the AErosol RObotic NETwork (AERONET) data.
Citation: Lasserre, F., Cautenet, G., Bouet, C., Dong, X., Kim, Y. J., Sugimoto, N., Matsui, I., and Shimizu, A.: A model tool for assessing real-time mixing of mineral and anthropogenic pollutants in East Asia: a case study of April 2005, Atmos. Chem. Phys., 8, 3603-3622, doi:10.5194/acp-8-3603-2008, 2008.