Abstract
Current chapter outlines the model-based assessment of air pollution in Eastern and Southern Asia. The chemistry transport model SILAM, which covers the main sources of the air pollutants in the region, was applied to evaluate their influence on spatial and temporal characteristics of the regional pollution pattern. We showed that, apart from the anthropogenic sources, air pollution in several parts of Eastern and Southern Asia is dominated by other sources, such as desert dust and vegetation fires. In particular, South-East Asia and Eastern Russia are heavily impacted by the biomass burning smoke, largely from agriculture fires. Fire-induced pollution is also episodically significant in several provinces of China.
Quality and availability of the emission data for the region is often insufficient. It is demonstrated that emission inversion task can be solved for Asia using satellite information and extended four-dimensional variational data assimilation, finally leading to refined emission estimates. In particular, the inverse problem solution suggests that the seasonal cycle of primary aerosol emission is likely to have two peaks rather than one as assumed in the bulk of inventories. This conclusion, however, has to be taken with care since it can be affected by the lacking summer-time aerosols in the model, especially secondary organics and desert dust.
The model evaluation for the region is largely based on the satellite information. Limited datasets for China and India are available over a comparatively short time period, and a few examples of the SILAM evaluation with these datasets are provided.
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Sofiev, M. et al. (2017). Modelling Assessment of Atmospheric Composition and Air Quality in Eastern and Southern Asia. In: Bouarar, I., Wang, X., Brasseur, G. (eds) Air Pollution in Eastern Asia: An Integrated Perspective. ISSI Scientific Report Series, vol 16. Springer, Cham. https://doi.org/10.1007/978-3-319-59489-7_20
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DOI: https://doi.org/10.1007/978-3-319-59489-7_20
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