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HPC Simulations of the Fine Particulate Matter Climate of Bulgaria

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Numerical Methods and Applications (NMA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8962))

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Abstract

Some extensive numerical simulations of the atmospheric composition fields in Bulgaria have been recently performed. The US EPA Model-3 system was chosen as a modelling tool. The TNO emission inventory was used as emission input. Special pre-processing procedures are created for introducing temporal profiles and speciation of the emissions. The biogenic emissions of VOC are estimated by the model SMOKE. The numerical experiments have been carried out for different emission scenarios, which makes it possible the contribution of emissions from different source categories to be evaluated. The simulations aimed at constructing of ensemble, comprehensive enough as to provide statistically reliable assessment of the atmospheric composition climate of Bulgaria - typical and extreme features of the special/temporal behavior, annual means and seasonal variations, etc. The present one focuses on the results about fine particulate matter. This is a compound with significant impact on human health, so the interest towards it is recently very big.

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Acknowledgments

The present work is supported by the Bulgarian National Science Fund (grant DCVP-02/1/29.12.2009) and the EC-FP7 grant 261323 (project EGI-InSPIRE).

Deep gratitude is due to US EPA and US NCEP for providing free-of-charge data and software. Special thanks to the Netherlands Organization for Applied Scientific research (TNO) for providing us with the high-resolution European anthropogenic emission inventory.

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Gadzhev, G., Ganev, K., Miloshev, N., Syrakov, D., Prodanova, M. (2015). HPC Simulations of the Fine Particulate Matter Climate of Bulgaria. In: Dimov, I., Fidanova, S., Lirkov, I. (eds) Numerical Methods and Applications. NMA 2014. Lecture Notes in Computer Science(), vol 8962. Springer, Cham. https://doi.org/10.1007/978-3-319-15585-2_20

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  • DOI: https://doi.org/10.1007/978-3-319-15585-2_20

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-15585-2

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