Abstract
In Kovalets et al. (2011), a method was developed to estimate the location and rate of an unknown point stationary source of passive atmospheric pollutant in a complex urban geometry. The algorithm was implemented in the ADREA-HF Computational Fluid Dynamics code and was applied in a complex urban geometry (the MUST wind tunnel experiment). This approach has also been evaluated for the Michelstadt experiment (Tsiouri et al., 2014). In the present paper, a major change in the data assimilation code includes the implementation of a two-step approach: At first only the source coordinates are analysed using a correlation function of measured and calculated concentrations. In the second step the source rate is identified by minimizing a quadratic cost function. The validation of the new algorithm is performed for the source location by simulating a wind tunnel experiment on atmospheric dispersion among buildings of a real urban environment. Good results of source location estimation are obtained. Special attention is given on the grid influence regarding the obtained results.
| Original language | English |
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| Title of host publication | HARMO 2016 - 17th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Proceedings |
| Editors | Zita Ferenczi, Laszlo Bozo, Marta T. Puskas |
| Publisher | Hungarian Meteorological Service |
| Pages | 504-508 |
| Number of pages | 5 |
| ISBN (Electronic) | 9789639931107 |
| State | Published - 2016 |
| Externally published | Yes |
| Event | 17th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2016 - Budapest, Hungary Duration: 9 May 2016 → 12 May 2016 |
Publication series
| Name | HARMO 2016 - 17th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Proceedings |
|---|---|
| Volume | 2016-May |
Conference
| Conference | 17th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2016 |
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| Country/Territory | Hungary |
| City | Budapest |
| Period | 9/05/16 → 12/05/16 |
Bibliographical note
Publisher Copyright:© 2018 Hungarian Meteorological Service. All Rights Reserved.
Keywords
- Atmospheric dispersion
- CFD
- Data assimilation
- Inverse problem
- Source identification
ASJC Scopus subject areas
- Atmospheric Science
- Pollution
- Modeling and Simulation