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Modelling, simulation and parameter identification of active pollution reduction with photocatalytic asphalt
Capital City Kiel, Transportation Infrastructures Department, Germany.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0002-1752-1211
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0002-1160-0007
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0002-2185-641x
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2019 (English)In: Acta Polytechnica, ISSN 1210-2709, E-ISSN 1805-2363, Vol. 59, no 1, p. 51-58Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Prague: Czech Technical University in Prague , 2019. Vol. 59, no 1, p. 51-58
Keywords [en]
Pollution, environmental modelling, parameter identification, finite element simulation
National Category
Mathematics
Research subject
Mathematics
Identifiers
URN: urn:nbn:se:kau:diva-70796DOI: 10.14311/AP.2019.59.0051ISI: 000462321600006OAI: oai:DiVA.org:kau-70796DiVA, id: diva2:1282443
Available from: 2019-01-24 Created: 2019-01-24 Last updated: 2019-04-11Bibliographically approved

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Lind, MartinMuntean, AdrianRichardson, OmarWondmagegne, Yosief
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