Investigation of bismuth-based metal-organic frameworks for effective capture and immobilization of radioiodine gas.

In this study, we investigated the use of Bi-mna, a specific type of bismuth metal organic framework (MOF) for the capture and disposal of iodine, a key nuclide of concern in nuclear fuel reprocessing plants and nuclear power plants. To find the suitable form of Bi-mna for the purpose, experiments were performed by synthesizing four different Bi-mna with varying reagent ratios and connecting iodine adsorption and conversion for immobilization. After iodine adsorption and characterization to investigate their adsorption mechanisms, the Bi-mna samples went through conversion for immobilization to fix captured iodine into the adsorbents.

Biosignal-Based Attention Monitoring to Support Nuclear Operator Safety-Relevant Tasks.

In the main control room (MCR) of a nuclear power plant (NPP), the quality of an operator's performance can depend on their level of attention to the task. Insufficient operator attention accounted for more than 26% of the total causes of human errors and is the highest category for errors. It is therefore necessary to check whether operators are sufficiently attentive either as supervisors or peers during reactor operation.

An Investigation of Insider Threat Mitigation Based on EEG Signal Classification.

This study proposes a scheme to identify insider threats in nuclear facilities through the detection of malicious intentions of potential insiders using subject-wise classification. Based on electroencephalography (EEG) signals, a classification model was developed to identify whether a subject has a malicious intention under scenarios of being forced to become an insider threat. The model also distinguishes insider threat scenarios from everyday conflict scenarios.

The impact of below detection limit samples in residual risk assessments for decommissioning nuclear power plant sites.

As the number of nuclear power plants (NPPs) being decommissioned increases internationally, many issues are being raised. One such issue is related to site soil analyses for the determination of residual risk for license termination. In a typical site-cleanup analysis, the majority of soil samples at the site are at or below the detection limit (BDL).

Examining the importance of the particle size effect in inhalation dose assessment for short-term radiological events.

In this research work, the question of how important the particle size effect is in assessing radiological impact from a short-term radiological dispersal device incident is examined. A computer model, called puff particle size-dependent inhalation dose assessment (PIDA), was developed to support the task. The PIDA code is composed of submodels for atmospheric transport, dry deposition, resuspension, human exposure and dose analysis, with the particle size effect explicitly described in all of the submodels.