Radioiodine in the atmosphere after the Fukushima Dai-ichi nuclear accident

Lebel, Luke S.; Dickson, R.; Glowa, Glenn A.

doi:10.1016/j.jenvrad.2015.06.001

Cited by 50 publications

(35 citation statements)

References 22 publications

(49 reference statements)

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“…Radionuclide I-131 gives largest contribution to inhalation, resuspension and groundshine pathways. Radioiodine in atmosphere exist both in aerosol and vapor form [23]. Vapor phase of radioiodine deposits faster than its aerosol phase.…”

Section: Resultsmentioning

confidence: 99%

The Study of Atmospheric Dispersion Model on Accident Scenario of Research Reactor G. A. Siwabessy Using Hotspot Codes as a Nuclear Emergency Decision Support System

Yuniarto

Hikmat

2019

Tri Dasa Mega

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G.A. Siwabessy Multipurpose Reactor (RSG-GAS) is a research reactor with thermal power of 30 MW located in the Serpong Nuclear Area (KNS), South Tangerang, Banten, Indonesia. Nuclear emergency preparedness of RSG-GAS needs to be improved by developing a decision support system for emergency response. This system covers three important aspects: accident source terms estimation, radioactive materials dispersion model into the atmosphere and radiological impact visualization. In this paper, radioactive materials dispersion during design basis accident (DBA) is modeled using HotSpot, by utilizing site-specific meteorological data. Based on the modelling, maximum effective dose and thyroid equivalent dose of 1.030 mSv and 26 mSv for the first 7 days of exposure are reached at distance of 1 km from the release point. These values are below IAEA generic criteria related to risk reduction of stochastic effects. The results of radioactive dispersion modeling and radiation dose calculations are integrated with Google Earth Pro to visualize radiological impact caused by a nuclear accident. Digital maps of demographic and land use data are overlayed on Google Earth Pro for more accurate impact estimation to take optimal emergency responses.Keywords: G.A. Siwabessy research reactor, Nuclear emergency, Atmospheric dispersion model, Decision support system, HotSpot codes

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Section: Resultsmentioning

confidence: 99%

The Study of Atmospheric Dispersion Model on Accident Scenario of Research Reactor G. A. Siwabessy Using Hotspot Codes as a Nuclear Emergency Decision Support System

Yuniarto

Hikmat

2019

Tri Dasa Mega

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“…The following parameters are estimated in this analysis: i) Normalised Mean Square Error (NMSE), ii) Fractional Bias (FB) and iii) Correlation Coefficient (CC). Correlation coefficient is one of the most robust parameter (Stohl et al, 1998), however multiple statistical parameters are used to arrive at the better model performance (Draxler, 2006 (Draxler et al, 2015;Lebel et al, 2016, for 131 I only) are compared with the present simulation results. The individual concentration values from NICAM-SPRINTARS are closer to 10-ensemble model mean from Draxler et al (2015) at many temporal data points.…”

Section: Comparison Of Model Results With Measurementsmentioning

confidence: 99%

Simulating Long Range Transport of Radioactive Aerosols Using a Global Aerosol Transport Model

Sarkar

Anand

Singh

et al. 2017

Aerosol Air Qual. Res.

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Study of long range transport of radioactive gases and aerosols is necessary to estimate radiological impact to the members of public and environment during nuclear reactor accidents. In the present work, an attempt has been made to employ an atmospheric circulation model that predicts meteorological parameters at the regional and global scales, and a transport model that utilizes these meteorological parameters for the radioactive aerosol dispersion. Non-hydrostatic Icosahedral Atmospheric Model (NICAM) coupled with Spectral Radiation-Transport Model for Aerosol Species (SPRINTARS) is adapted to fulfil this objective, which is used for simulating effects of conventional aerosols on atmospheric pollution and climate system. As an illustrative case study, global simulation is carried out for a horizontal resolution of ~110 km to model the dispersion of radioactive aerosol ( Continuous run of this system will help in predicting the activity concentration in forecast mode, and it may be used for decision support, particularly in the case of long range transport (> 100 km).

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“…This could vary quite substantially based on the humidity in containment, the phase of the accident, and source of the fission products (e.g., releases from damaged fuel, fuel melt, molten corium-concrete interaction, etc.). Radionuclide-bearing aerosols in following the Fukushima accident were typically found to be <1 m in size (Adachi et al, 2013;Doi et al, 2013;Kaneyasu et al, 2012;Lebel et al, 2016). This was measured in the environment, however, after much of the water in the aerosols would have evaporated away.…”

Section: Model For the Kinematic Coagulation Of Aerosols With A Spraymentioning

confidence: 99%

Concept for a cyclonic spray scrubber as a fission product removal system for filtered containment venting

Lebel

Piro

MacCoy

et al. 2016

Nuclear Engineering and Design

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Radioiodine in the atmosphere after the Fukushima Dai-ichi nuclear accident

Cited by 50 publications

References 22 publications

The Study of Atmospheric Dispersion Model on Accident Scenario of Research Reactor G. A. Siwabessy Using Hotspot Codes as a Nuclear Emergency Decision Support System

The Study of Atmospheric Dispersion Model on Accident Scenario of Research Reactor G. A. Siwabessy Using Hotspot Codes as a Nuclear Emergency Decision Support System

Simulating Long Range Transport of Radioactive Aerosols Using a Global Aerosol Transport Model

Concept for a cyclonic spray scrubber as a fission product removal system for filtered containment venting

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