scholarly journals Dosimetry for Use in Preparedness and Response to Radiological and Nuclear Emergency

2020 ◽  
Author(s):  
Vladimir Kutkov
Keyword(s):  
Nuclear Emergency

An ultra-highly sensitive and selective self-enhanced AIECL sensor for public security early warning in a nuclear emergency via a co-reactive group poisoning mechanism

2021 ◽  
Author(s):  
Ziyu Wang ◽  
Meiyun Xu ◽  
Nan Zhang ◽  
Jian-Bin Pan ◽  
Xinqi Wu ◽  
...  
Keyword(s):  
Detection Limit ◽  
Early Warning ◽  
High Selectivity ◽  
Public Security ◽  
Reactive Group ◽  
Low Detection Limit ◽  
Highly Sensitive ◽  
Vapor Sensors ◽  
Nuclear Emergency

A mechanism of co-reactive group poisoning (CGP) was discovered for designing efficient I2 vapor sensors for early warning of a nuclear emergency, which give an ultra-low detection limit of 0.13 ppt as well as high selectivity.

Requirements Engineering of Malaysia’s Radiation and Nuclear Emergency Plan Simulator

2015 ◽  
pp. 83-97 ◽  
Author(s):  
Amy Hamijah binti Ab. Hamid ◽  
Mohd Zaidi Abd Rozan ◽  
Roliana Ibrahim ◽  
Safaai Deris ◽  
Ali Selamat ◽  
...  
Keyword(s):  
Requirements Engineering ◽  
Emergency Plan ◽  
Nuclear Emergency

Nuclear emergency: An ‘unusual event’

1989 ◽  
Vol 1 (6) ◽  
pp. 7-16
Author(s):  
Patricia Kullberg
Keyword(s):  
Unusual Event ◽  
Nuclear Emergency

scholarly journals 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

2019 ◽  
Vol 21 (1) ◽  
pp. 1
Author(s):  
Arif Yuniarto ◽  
Moh. Cecep Cepi Hikmat
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Research Reactor ◽  
Dispersion Model ◽  
Atmospheric Dispersion ◽  
Google Earth ◽  
Radioactive Materials ◽  
Atmospheric Dispersion Model ◽  
Nuclear Emergency

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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