VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
  • Surrogate grid model of an atmospheric pollutant spread [Elektronski vir]
    Kocijan, Juš ...
    This paper presents a method for developing computationally-efficient surrogate models for the spread of air pollution. Mitigating the pollution of Seveso-type accidents and designing evacuation ... scenarios require long-term prediction, which is obtained with numerical simulations of the spread of air pollution. Sophisticated simulation programs frequently possess high computational load and are not suitable for real-time computational studies and experiments. Data-driven surrogate models that are computationally fast are used for such investigations. We propose a grid of independent dynamical Gaussian-process models (GP-GIM) to simulate the spread of atmospheric pollution. This is demonstrated using a realistic example of limited complexity based on a thermal power plant in Šoštanj, Slovenia. The results show an acceptable behaviour match between the surrogate and original models, with a tenfold decrease in computational load. This confirms the feasibility of the proposed method and makes the resulting surrogate model suitable for further experiments.
    Vir: IFAC papersOnline [Elektronski vir]. - ISSN 2405-8963 (Vol. 56, iss. 2, 2023, Str. 8314-8319)
    Vrsta gradiva - prispevek na konferenci ; neleposlovje za odrasle
    Leto - 2023
    Jezik - angleški
    COBISS.SI-ID - 173754115

    Povezava(-e):

    https://www.sciencedirect.com/science/article/pii/S2405896323014039
    DOI

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