scholarly journals Radiological safety analysis of Rooppur Nuclear Power Plant site using atmospheric dispersion model

2020 ◽  
Vol 11 (3/4) ◽  
pp. 284
Author(s):  
Maruf Hasan Khan ◽  
Faraji Samiul Haque Bijoy ◽  
Altab Hossain ◽  
Sarim Salman Karim
2021 ◽  
Author(s):  
Hiromi Yamazawa ◽  
Yousuke Sato ◽  
Tsuyoshi Sekiyama ◽  
Mizuo Kajino ◽  
Sheng Fang ◽  
...  

<p>The 3rd model intercomparison project (MIP) of atmospheric dispersion model targeting on <sup>137</sup>Cs emitted from the Fukushima Daiichi Nuclear Power Plant (FDNPP) in March 2011 was conducted (Sato et al. 2020). Nine models participated in the 3rd MIP. All participated models used the identical source term of Katata et al. (2015) and the identical meteorological data (Sekiyama and Kajino, 2020) as in the previous MIP (i.e., 2nd MIP Sato et al. 2018), but finer horizontal grid resolution (1 km) than that of 2nd MIP (3 km) was used for understanding the behavior of atmospheric <sup>137</sup>Cs measured in the vicinity of FDNPP. Results of the models elucidated that, as in the 2nd MIP, most of the observed high atmospheric <sup>137</sup>Cs concentrations (plumes) were reasonably well simulated by the models, and the good performance of some models cancelled a bad performance of some models when used as an ensemble, which highlights the advantage of the multimodel ensemble. The analyses also indicated that the use of the finer grid resolution (1 km) improved the meteorological field in the vicinity of FNDPP. As a consequence, the atmospheric <sup>137</sup>Cs measured near FDNPP was more reasonably reproduced in 3rd MIP than 2nd MIP.</p><p>As well as the evaluation of the performance of the model, we examined the usefulness of the results of atmospheric dispersion simulation in an emergency base on the results of 2nd and 3rd MIPs. For the analyses we defined the worst situation as that plume is observed but the model does not simulate it. The analyses reported that the worst situation happened in only 3% of the total calculation period by using the multimodel ensemble, even if the absolute value of the simulated <sup>137</sup>Cs in each model was different in the range of factor 3-6. The analyses also indicated that from six to eight models are required for making most of the advantages of the multimodel ensemble.</p>


2019 ◽  
Vol 127 ◽  
pp. 156-164 ◽  
Author(s):  
Ismael Mohammed Mohammed Saeed ◽  
Muneer Aziz Mohammed Saleh ◽  
Suhairul Hashim ◽  
Ahmad Termizi bin Ramli ◽  
Shwan H.H. Al-Shatri

2019 ◽  
Vol 15 (4) ◽  
pp. 532-536
Author(s):  
Nurlyana Omar ◽  
Meng-Hock Koh ◽  
Suhairul Hashim

Malaysia has considered for some time to adopt nuclear power to cater to the increasing demand of electricity following other developed Asian countries such as Japan, Korea, and China. In implementing a nuclear power plant, strict regulations and guidelines by the International Atomic Energy Agency (IAEA) and International Commission on Radiological Protection (ICRP) must be fulfilled before any construction license is given for a new nuclear power program. One of the assessments include the estimation of potential radiological risks to both humans and environment from routine and accidental release of radioactive effluent from the nuclear power plant (NPP). In this work, simulations of radionuclide dispersion from a hypothetical NPP site in Mersing, Johor will be presented. The simulation was performed based on the Lagrangian atmospheric dispersion model using the HYSPLIT software. The radioactive effluent release rate was approximated to the value found in the Fukushima Dai-ichi accident in 2011. Meteorological data of 2017 were utilized in this study. Simulation results showed that the dispersion of radioactive effluent from the hypothetical NPP can potentially affect areas around Johor Bahru district, Singapore, and even some areas in Indonesia.


Sign in / Sign up

Export Citation Format

Share Document