Hostname: page-component-586b7cd67f-rcrh6 Total loading time: 0 Render date: 2024-11-28T03:56:13.165Z Has data issue: false hasContentIssue false
  • English
  • Français

Evaluation of the effectiveness of countermeasures in contaminated forests

Published online by Cambridge University Press:  17 June 2005

J.C. Barescut ,
J.C. Gariel ,
J.M. Péres ,
S. Fesenko ,
G. Voigt ,
S. Spiridonov  and
I. Gontarenko
S. Fesenko
Affiliation:
International Atomic Energy Agency, Agency's Laboratories Seibersdorf, Vienna, Austria Russian Institute of Agricultural Radiology and Radioecology, 249020 Obninsk, Russia
G. Voigt
Affiliation:
International Atomic Energy Agency, Agency's Laboratories Seibersdorf, Vienna, Austria
S. Spiridonov
Affiliation:
Russian Institute of Agricultural Radiology and Radioecology, 249020 Obninsk, Russia
I. Gontarenko
Affiliation:
Russian Institute of Agricultural Radiology and Radioecology, 249020 Obninsk, Russia
Get access

Abstract

In many regions subjected to the contamination after the ChNPP accident forest products play an important role in radiation impact on the population. The decision making framework to optimise implementation of forest countermeasures in the long term after the ChNPP accident is described. The approach is based on the analysis of the main exposure pathways related to contaminated forest and application of different criteria (reduction of individual dose, cost for implementation; cost of averted dose of 1 man-Sv; secondary ecological effect and psycho-social impact) for the selection of optimal countermeasures strategies. Results of the application of the approach proposed for the study area (Novozybkov district, Russian Federation) are presented. The results emphasize the effectiveness of the application of a flexible decision support technologies for the optimization of countermeasures taking into account radioecological and economic features of contaminated forests.

Type
Research Article
Information
Radioprotection , Volume 40 , Issue S1 , May 2005 , pp. S825 - S832
Copyright
© EDP Sciences, 2005

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)