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Some Basic Facts About the Atmospheric Composition in Bulgaria – Grid Computing Simulations

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Large-Scale Scientific Computing (LSSC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8353))

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Abstract

The present work aims at studying the local to regional atmospheric pollution transport and transformation processes over Bulgaria and at tracking and characterizing the main pathways and processes that lead to atmospheric composition formation in the region.

The US EPA Models-3 system is chosen as a modelling tool. As the NCEP Global Analysis Data with 1 degree resolution is used as meteorological background, the MM5 and CMAQ nesting capabilities are applied for downscaling the simulations to a 9 Km resolution over Balkans and 3 Km over Bulgaria. The TNO emission inventory is used as emission input. Special pre-processing procedures are created for introducing temporal profiles and speciation of the emissions.

The study is based on a large number of numerical simulations carried out day by day for years 2000–2007 and five emission scenarios - with all the emissions and with biogenic emissions, emissions from energetics, road transport and none industrial combustion reduced. Results from the numerical simulations concerning the main features of the atmospheric composition in Bulgaria and the contribution of the different emission categories are demonstrated in the paper.

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Acknowledgements

The present work is supported by the Bulgarian National Science Fund (grant DCVP-02/1/29.12.2009) and by the EU FP7 project PASODOBLE, grant №241557. 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 the study with the high-resolution European anthropogenic emission inventory.

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Correspondence to Kostadin Ganev .

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Gadzhev, G., Ganev, K., Miloshev, N., Syrakov, D., Prodanova, M. (2014). Some Basic Facts About the Atmospheric Composition in Bulgaria – Grid Computing Simulations. In: Lirkov, I., Margenov, S., Waśniewski, J. (eds) Large-Scale Scientific Computing. LSSC 2013. Lecture Notes in Computer Science(), vol 8353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43880-0_55

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  • DOI: https://doi.org/10.1007/978-3-662-43880-0_55

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