The use of the WRF numerical weather forecasting model in mode ling emergency situations at Belarusian NPP
https://doi.org/10.29235/1561-8358-2022-67-2-250-256
Abstract
The expediency of using Weather Research and Forecasting (WRF) numerical weather forecast model as a source of meteorological data during modeling of radioactive substances transfer in the atmosphere is considered, WRF technical details are briefly described. As the reference emergency scenario, the scenario of the maximum design accident hypothetically occurring at Belarusian Nuclear Power Plant (BelNPP) 12 UTC 21.03.2021 was chosen. Four numerical experiments with Global Forecast System (GFS) and WRF meteorological data and RIMPUFF and LASAT atmospheric diffusion models were performed in JRODOS Decision Support Systems (DSS). For each experiment, maps of underlying surface potential radioactive contamination of I131 were created. The potential contamination of the underlying surface I131 from 5 to 100 km from the BelNPP was assessed. The dependency graph of the maximum underlying surface contamination with I131 on the distance from the BelNPP was plotted based on the experiments results. The obtained results indicate the prospects of using the WRF meteorological model in the DSS at various stages of the emergency situations development at the BelNPP.
About the Authors
A. Yu. Shamyna
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Artsiom Yu. Shamyna – Master of Engineering, Senior Lecturer
9, Gikalo Str., 220013, Minsk
A. K. Labokha
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Alexandr K. Labokha – Master, Assistant
9, Gikalo Str., 220013, Minsk
A. D. Ardziaka
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Aliaksei D. Ardziaka – Ph. D. student
9, Gikalo Str., 220013, Minsk
References
1. Weather Research and Forecasting Model. MMM: Mesoscale & Microscale Meteorology Laboratory. 2022. Available at: https://www.mmm.ucar.edu/weather-research-andforecasting-model (accessed 24 January 2022).
2. Skrynyk, O., voloshchuk, V., Budak, I., Bubin, S. Regional HYSPLIT simulation of atmospheric transport and deposition of the Chernobyl 137Cs releases. Atmospheric Pollution Research, 2019, vol. 10, no. 6, pp. 1953–1963. https://doi.org/10.1016/j.apr.2019.09.001
3. Rubinstein K. G., Nabokova Е. М., Ignatov R. Y., Smirnova M. M., Arutunyan R. V., Semyonov V. N., Sorokovikova O. S., Fokin A. V., Pripachkin D. A. Calculation of Surface Tracer Concentration by Set of Hydrodynamic Weather Forecast Model and Lagrangian Model of Atmospheric Dispersion. Journal of Environmental Science and Engineering, 2012, no. 1, pp. 43–61.
4. Global Forecast System| National Centers for Environmental Information. 2022. Available at: https://www.ncdc.noaa.gov/data-access/model-data/model-datasets/globalforcast-system-gfs (accessed 23 March 2021).
5. JRodos: An off-site emergency management system for nuclear accidents. Available at: https://resy5.iket.kit.edu/JRODOS (accessed 24 January 2022).
6. Thykier-Nielsen S., Deme S., Mikkelsen T. Description of the Atmospheric Dispersion Module RIMPUFF. Report RODOS (WG2)-TN (98)-02, 1999. Available at: https://resy5.iket.kit.edu/RODOS/Documents/Public/HandbookV5/Volume3/4_2_6_RIMPUFF.pdf
7. LASAT – A computer program for the calculation of pollutant dispersion in the atmosphere. Janicke Consulting Environmental Physics. 2022. Available at: https://www.janicke.de/en/lasat.html (accessed 24 January 2022).
8. Validation of Investments in the Nuclear Power Plant Construction in the Republic of Belarus. Book 11. Environmental Impact Assessment. Part 8. EIA Report. Part 8.3. NPP Environmental Impact Assessment, 2010. Available at: http://www.belaes.by/images/Part8.3.pdf (accessed 24 January 2022).
9. WRF-ARW Modeling System. The official repository for the Weather Research and Forecasting (WRF) model. 2022. Available at: https://github.com/wrf-model/WRF (accessed 24 January 2022).
Review
Views: 359
Email this article 
