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Sensitivity Study of a Large-Scale Air Pollution Model by Using Optimized Latin Hyprecube Sampling

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Recent Advances in Computational Optimization (WCO 2020)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 986))

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Abstract

In this work a systematic procedure for multidimensional sensitivity analysis in the area of air pollution modeling by an optimized latin hypercube sampling has been done. The Unified Danish Eulerian Model (UNI-DEM) is used in our investigation, because this is one of the most advanced large-scale mathematical models that describes adequately all physical and chemical processes. We study the sensitivity of concentration variations of some of the most dangerous air pollutants with respect to the anthropogenic emissions levels and with respect to some chemical reactions rates.

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Acknowledgements

Venelin Todorov is supported by the Bulgarian National Science Fund under Project KP-06-M32/2-17.12.2019 “Advanced Stochastic and Deterministic Approaches for Large-Scale Problems of Computational Mathematics” and by the National Scientific Program “Information and Communication Technologies for a Single Digital Market in Science, Education and Security (ICT in SES)”, contract No D01-205/23.11.2018, financed by the Ministry of Education and Science in Bulgaria. This work is supported by the Bulgarian National Science Fund under Project DN 12/5-2017 and Project KP-06-Russia/17 “New Highly Efficient Stochastic Simulation Methods and Applications” funded by National Science Fund—Bulgaria. Barcelona Supercompputing Centre (BSC) is kindly acknowledged too for granting us access and computer time on their most powerful supercomputer.

Author information

Authors and Affiliations

  1. Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Department of Information Modeling, Acad. Georgi Bonchev Str., Block 8, 1113, Sofia, Bulgaria

    Venelin Todorov & Stoyan Poryazov

  2. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Department of Parallel Algorithms, Acad. G. Bonchev Str., Block 25 A, 1113, Sofia, Bulgaria

    Venelin Todorov, Ivan Dimov, Tzvetan Ostromsky & Rayna Georgieva

  3. National Centre for Environment and Energy, University of Århus, Frederiksborgvej 399, P.O. Box 358, 4000, Roskilde, Denmark

    Zahari Zlatev

Authors
  1. Venelin Todorov
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  2. Ivan Dimov
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  3. Tzvetan Ostromsky
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  4. Zahari Zlatev
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  5. Rayna Georgieva
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  6. Stoyan Poryazov
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Corresponding author

Correspondence to Venelin Todorov .

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Editors and Affiliations

  1. Institute of Information and Communication Technology, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Stefka Fidanova

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Todorov, V., Dimov, I., Ostromsky, T., Zlatev, Z., Georgieva, R., Poryazov, S. (2022). Sensitivity Study of a Large-Scale Air Pollution Model by Using Optimized Latin Hyprecube Sampling. In: Fidanova, S. (eds) Recent Advances in Computational Optimization. WCO 2020. Studies in Computational Intelligence, vol 986. Springer, Cham. https://doi.org/10.1007/978-3-030-82397-9_19

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