Submitted by Mi.Varokky@iaea.org on
Publication Code
IAEA-TECDOC-1941
ID
14778
Publication Type
Description

Radiological environmental impact assessment models are important tools to ensure protection of the public and the environment. The IAEA has an ongoing programme to improve capabilities in this area by model testing and comparison, reaching consensus on modelling philosophies, approaches and parameter values. This publication describes and summarizes the findings of Working Group 9 carried out during the IAEA EMRAS II (Environmental Modelling for Radiation Safety) programme. The results presented draw on international model validation exercises conducted to test and improve the predictive ability of models used for the assessment of radioactive contamination in urban settings, including dispersion and deposition events, short and long term contaminant redistribution following deposition events, and the effectiveness of potential countermeasures (protective actions, including remedial actions) for reducing human exposures.

Cover Image
ISBN
978-92-0-134221-8
Publication Original Id
14778
Publication Year
2021
Publication Date
Publication Issue Date
Publication Series Info
1941
Publication Series Number
1941
Price
18.00
Number of Pages
406
Number of Figures
103
Publication Medium
Print (Paper)
Keywords
Assessment, Radioactive, Contamination, Urban Area, Radioactive Contamination, Radiological, Environmental, Impact, Model, Protection, Model Testing, Comparison, Approach, Parameter Value, Working Group 9, EMRAS II, Environmental Modelling for Radiation Safety, Predictive Ability, Urban Setting, Dispersion, Deposition, Modelling, Safety, Radiation Safety, Event, Short Term, Long Term, Contaminant Redistribution, Countermeasure, Human Exposure, Model Validation, Data Compilation, Short Range, Atmospheric Dispersion, Exercise, Mid-Range, Contaminant, Transport, Model Prediction, Modelling Scenario, Surface Activity
Publication File Type
application/pdf
Publication File Size
14654
Keep tags on import
Off
Skip on import
Off
Authored date
feed hash
00ee51fac8dc9a0851b04cf32a48aaeb