References

ACPD

Atmospheric Chemistry and Physics Discussions

ACPD

1680-7375

Copernicus GmbH

Göttingen, Germany

10.5194/acpd-7-11895-2007

A comprehensive modelling way for assessing real-time mixings of mineral and anthropogenic pollutants in East Asia

Lasserre

¹ Cautenet

¹ Bouet

¹ Dong

² Kim

Y. J.

³ Sugimoto

⁴ Matsui

⁴ Shimizu

⁴

Laboratoire de Météorologie Physique, Université Blaise Pascal, Complexe scientifique des Cézeaux, BP 45, 63170, Aubière, France

Sino-Japan Friendship Center for Environmental Protection, Beijing 100029, China

Advanced Environment Monitoring Research Center, Department of Environmental Science and Engineering, Gwangju Institute of Science and Technology, 1 Oryong-dong, Gwangju 500-712, Korea

National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan

14 08 2007

7 4 11895 11971

This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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In order to assess the complex mixing of atmospheric anthropogenic and natural pollutants over the East Asian region, we propose to take into account the main aerosols simultaneously present over China, Korea and Japan during the spring season. With 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 SO42−) and Black Carbon (BC). During a 2-week case study of dust events which occurred in April 2005 over an area extending from the Gobi deserts to the Japan surroundings, we retrieve the behaviours of the different aerosols plumes. We focus on possible dust mixing with the anthropogenic pollutants from megalopolis. For both natural and anthropogenic pollution, the model results are in general agreement with the horizontal and vertical distributions of concentrations as measured by remote data, in situ LIDAR, PM10 data and literature. In particular, we show that a simplified chemistry approach of this complex issue can be efficient enough to model this event, with a real-time step of 3 h. The model provides the good shapes and orders of magnitude for the Aerosol Optical Thickness (AOT) and species contributions (via the Angström Exponent) when compared with the AERONET data.

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