Radiological Risk Assessment by Convergence Methodology Model in RDD Scenarios.

Autor: Rother FC; Institute of Radioprotection and Dosimetry (CNEN/IRD), Rio de Janeiro, Brazil., Rebello WF; Nuclear Engineering Graduate Program, Military Institute of Engineering, (IME), Rio de Janeiro, Brazil., Healy MJ; Cranfield Forensic Institute, Cranfield University, Defence Academy of the United Kingdom, Shrivenham, UK., Silva MM; Brazilian Army Technological Center (CTEx), Chemical, Biological and Nuclear Defense Division (CBRN), Rio de Janeiro, Brazil., Cabral PA; Brazilian Army Technological Center (CTEx), Chemical, Biological and Nuclear Defense Division (CBRN), Rio de Janeiro, Brazil., Vital HC; Brazilian Army Technological Center (CTEx), Chemical, Biological and Nuclear Defense Division (CBRN), Rio de Janeiro, Brazil., Andrade ER; Institute of Radioprotection and Dosimetry (CNEN/IRD), Rio de Janeiro, Brazil.; Nuclear Engineering Graduate Program, Military Institute of Engineering, (IME), Rio de Janeiro, Brazil.; Brazilian Army Technological Center (CTEx), Chemical, Biological and Nuclear Defense Division (CBRN), Rio de Janeiro, Brazil.
Jazyk: angličtina
Zdroj: Risk analysis : an official publication of the Society for Risk Analysis [Risk Anal] 2016 Nov; Vol. 36 (11), pp. 2039-2046. Date of Electronic Publication: 2016 Feb 19.
DOI: 10.1111/risa.12557
Abstrakt: A radiological dispersal device (RDD) is a simple weapon capable of causing human harm, environmental contamination, disruption, area denial, and economic cost. It can affect small, large, or long areas depending on atmospheric stability. The risk of developing a radio-induced cancer depends on exposure, and an effective response depends upon available timely guidance. This article proposes and demonstrates a convergence of three different capabilities to assess risk and support rapid safe resource efficient response. The three capabilities that are integrated are Hotspot for dispersion, RERF for epidemiological risk, and RESRAD-RDD for response guidance. The combined methodology supports decisions on risk reduction and resource allocation through work schedules, the designation and composition of response teams, and siting for operations. In the illustrative RDD scenario, the contamination area for sheltering, evacuation, and long-term public concern was greatest for calm atmospheric conditions, whilst close-quarter responders faced highest dose rates for neutral atmospheric conditions. Generally, the risks to women responders were found to be significantly greater than for men, and the risks to 20-year-old responders were three times that of their 60-year-old counterparts for similar exposure.
(© 2015 Society for Risk Analysis.)
Databáze: MEDLINE
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