Abstract
The atmospheric release of hazardous materials in urban or industrial environments can be the result of an accident, with potential consequences on local or regional scale, or can be an intentional act of violence. In such cases, the highest uncertainty is associated with the location of the release and the quantity of the released substance. So far, all related studies focus on the use of air concentrations as prior information and the development of sophisticated inverse modelling methods. However, in a real case, this information is probably not available to the required extent or at all. The present study examines the hypothesis of using health observations (symptoms like coughing, headaches, asthma attacks and deaths) to derive dosages and air concentration levels of the released hazardous substances.
| Original language | English |
|---|---|
| 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 | 523-527 |
| 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 |
|---|---|
| Country/Territory | Hungary |
| City | Budapest |
| Period | 9/05/16 → 12/05/16 |
Bibliographical note
Publisher Copyright:© 2018 Hungarian Meteorological Service. All Rights Reserved.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 11 Sustainable Cities and Communities
Keywords
- Atmospheric dispersion
- Emergency response
- Inverse modelling
- Source reconstruction
ASJC Scopus subject areas
- Atmospheric Science
- Pollution
- Modeling and Simulation
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