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Bleher, M.* ; Gering, F.* ; Stoehlker, U.* ; Karhunen, T.* ; Nalbandyan-Schwarz, A.* ; Woda, C. ; Mafodda, A.

Reduction of uncertainties in exposure assessment based on environmental monitoring data.

Radioprotection 55, S81-S88 (2020)
Verlagsversion DOI
Open Access Gold (Paid Option)
Creative Commons Lizenzvertrag
Emergency preparedness and response systems for nuclear and radiological emergencies have to deal with decision-making in situations with relevant uncertainties. Consistent and appropriate protective measures must be decided before, during and after emergency situations. CONFIDENCE WP2 research helps to improve this decision-making process in the urgent response and the early response phase of emergency situations with potential major releases to atmosphere. This paper describes methods to reduce uncertainties in dose assessment for the population using data from stationary and mobile environmental monitoring programs. A special focus is given to identification of the measurement uncertainties of stationary and mobile monitoring systems. Methods to reduce these uncertainties and procedures to optimise mobile monitoring strategies are discussed. A first contribution towards assessing the quality of dose-rate measurements performed by the general population is made. In addition, the paper introduces approaches for advanced dose assessment tools using monitoring data and concepts for identifying critically exposed groups.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Review
Korrespondenzautor
Schlagwörter Citizen Engagement In Dosimetry ; Dose Assessment ; Emergency Response ; Monitoring Strategies ; Reduction Of Uncertainties; Rodos
ISSN (print) / ISBN 0033-8451
e-ISSN 1769-700X
Zeitschrift Radioprotection
Quellenangaben Band: 55, Heft: HS1, Seiten: S81-S88 Artikelnummer: , Supplement: ,
Verlag EDP Sciences
Verlagsort 17, Ave Du Hoggar, Pa Courtaboeuf, Bp 112, F-91944 Les Ulis Cedex A, France
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Radiation Medicine (IRM)