On the exploitation of dose-response information for the source-reconstruction in the case of atmospheric hazardous material releases

Samar Elkhalifa, Christos D. Argyropoulos, George C. Efthimiou, Spyros Andronopoulos, Alexandros G. Venetsanos, Ivan V. Kovalets, Konstantinos E. Kakosimos

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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 languageEnglish
Title of host publicationHARMO 2016 - 17th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Proceedings
EditorsZita Ferenczi, Laszlo Bozo, Marta T. Puskas
PublisherHungarian Meteorological Service
Pages523-527
Number of pages5
ISBN (Electronic)9789639931107
StatePublished - 2016
Externally publishedYes
Event17th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2016 - Budapest, Hungary
Duration: 9 May 201612 May 2016

Publication series

NameHARMO 2016 - 17th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Proceedings
Volume2016-May

Conference

Conference17th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, HARMO 2016
Country/TerritoryHungary
CityBudapest
Period9/05/1612/05/16

Bibliographical note

Publisher Copyright:
© 2018 Hungarian Meteorological Service. All Rights Reserved.

Keywords

  • Atmospheric dispersion
  • Emergency response
  • Inverse modelling
  • Source reconstruction

ASJC Scopus subject areas

  • Atmospheric Science
  • Pollution
  • Modeling and Simulation

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