MODELLING, SIMULATION AND PARAMETER IDENTIFICATION OF ACTIVE POLLUTION REDUCTION WITH PHOTOCATALYTIC ASPHALT

Authors

  • Jens Kruschwitz Department of Mathematics and Computer Science, Karlstad University, Universitetsgatan 2, Karlstad, Sweden
  • Martin Lind Department of Mathematics and Computer Science, Karlstad University, Universitetsgatan 2, Karlstad, Sweden
  • Adrian Muntean Karlstad University, Sweden
  • Omar Richardson Department of Mathematics and Computer Science, Karlstad University, Universitetsgatan 2, Karlstad, Sweden
  • Yosief Wondmagegne Department of Mathematics and Computer Science, Karlstad University, Universitetsgatan 2, Karlstad, Sweden

DOI:

https://doi.org/10.14311/AP.2019.59.0051

Keywords:

pollution, environmental modelling, parameter identification, finite element simulation

Abstract

We develop and implement a numerical model to simulate the effect of photocatalytic asphalt on reducing the concentration of nitrogen monoxide (NO) due to the presence of heavy traffic in an urban environment. The contributions in this paper are threefold: we model and simulate the spread and breakdown of pollution in an urban environment, we provide a parameter estimation process that can be used to find missing parameters, and finally, we train and compare this simulation with different data sets. We analyse the results and provide an outlook on further research.

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Author Biography

  • Adrian Muntean, Karlstad University, Sweden
    Prof. dr. habil., Dept. of Mathematics and Computer Science, Head of subject

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Published

2019-02-28

Issue

Vol. 59 No. 1 (2019)

Section

Articles

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How to Cite

Kruschwitz, J., Lind, M., Muntean, A., Richardson, O., & Wondmagegne, Y. (2019). MODELLING, SIMULATION AND PARAMETER IDENTIFICATION OF ACTIVE POLLUTION REDUCTION WITH PHOTOCATALYTIC ASPHALT. Acta Polytechnica, 59(1), 51-58. https://doi.org/10.14311/AP.2019.59.0051