Algorithm for Automating Input and Processing of Initial Data for Computer Forecasting of Spatial Migration of Radionuclides in Soils
https://doi.org/10.35596/1729-7648-2023-29-3-34-42
Abstract
An important tool for solving problems associated with the migration of radionuclides is computer technology that makes it possible to predict the spread of radioactive contamination in soils, which are an important component of the biosphere. At the same time, most modern software for the prediction of the spread of radioactive contamination is based on idealizations that simplify the understanding of this process, while solving the problem of a comprehensive assessment of the biosphere requires the use of a full-fledged spatial model of radionuclide migration in soils. Such a model was developed by P. K. Shalkevich within SPS (Simulation of Processes in Soil) software. SPS uses the initial values of radionuclide concentrations, hydrological and thermal properties of soils and information about meteorological conditions as input data for forecasting. At the same time, the listed initial data must be previously collected, processed and converted into a form that the software able to work with. Such processes require significant intellectual and time costs. These costs negatively affect the possibility of generating operational forecasts of the radioactive situation, but can be significantly reduced by using systems for automated radiation monitoring of soils and automating input and processing of initial data when predicting the spatial migration of radionuclides in the appropriate software, what is considered in the present article.
About the Authors
P. K. ShalkevichBelarus
Shalkevich Pavel Konstantinovich - Cand. of Sci., Associate Professor, Acting Head of Chair of Information Technologies in Ecology and Medicine
220070, Minsk, Dolgobrodskaya St., 23/1
Tel.: +375 17 230-68-97
A. O. Dalmatava
Belarus
Dalmatava A. O. - Student
220070, Minsk, Dolgobrodskaya St., 23/1
References
1. 20 Years of the Chernobyl Disaster: a Look Into the Future. National Report of Ukraine. Kyiv, 2006, Atika Publ. 232 (in Russian).
2. Recommendations of the ICRP. ICRP Publication 103 (2008) Annals of ICRP. 37. 344.
3. Shevchuk V. E., Gurachevsky V. L. (ed.) 20 Years after the Chernobyl Disaster. Consequences in the Republic of Belarus and their Overcoming. National Report. Minsk, 2006. 116 (in Russian).
4. Shalkevich P. K., Baranov A. S. (2012) Significance of Environmental Problems in the Information Society. Sakharov Readings 2012: Environmental Problems of the XXI Century: Materials of the 12th International Scientific Conference, Minsk, 17–18 May, 2012. Minsk, International Sakharov Environmental Institute of Belarusian State University. 37–38 (in Russian).
5. Shalkevich P. K. (2021) Computer Prediction of the Spatial Distribution of Cs-137 Concentration in Soil. Doklady of the National Academy of Sciences of Belarus. 65 (2), 139–145 (in Russian).
6. Shalkevich P. K., Kundas S. P., Gishkeluk I. A. (2015) Technology of Parallel Computing of the Problem of Heat and Moisture Transfer in the SPS Software Package. Informatics. (45), 73–79 (in Russian).
7. Kundas S. P., Gishkeluk I. A., Kovalenko V. I., Khilko O. S. (2011) Computer Modelling of Contaminant Migration in Natural Disperse Media. Minsk, International Sakharov Environmental Institute of Belarusian State University. 212 (in Russian).
8. Shalkevich P. K., Kundas S. P. (2021) Verification of Numerical Methods and Mathematical Model Developed for Simulation of Radionuclides Migration in Natural Disperse Environments. Doklady BSUIR. 19 (3), 66–74 (in Russian).
9. Sapozhnikov Yu. A., Aliev R. A., Kalmykov S. N. (2020) Radioactivity of the Environment: Theory and Practice, 3rd ed., electron. Moscow, Knowledge Laboratory Publ. 289 (in Russian).
10. Ishkhanov B. S., Kapitonov I. M., Cabin E. I. (2013) Particles and Nuclei. Experiment. Moscow, MAKS Press Publishing House. 252 (in Russian).
11. Zatsepin E. N., Drobot S. V. (2019) Radiation Control of the Environment. Monitoring of Man-Made and Natural Objects: Materials of the International Scientific and Technical Conference, Minsk, Nov. 28–29, 2019. Minsk, Belarusian State University of Informatics and Radioelectronics. 3–8 (in Russian).
12. Novik A. N., Kuchinsky P. V., Bely I. V., Tamashevich S. G. (2022) Automated System for Monitoring the Radiation Situation of the Environment with an Open Architecture of Construction. NRU “Institute for Applied Physical Problems named after A. N. Sevchenko”, Minsk, Jan. 29, 2015. 131–134 (in Russian).
13. Shalkevich P. K., Kundas S. P., Gishkeluk I. A. (2016) Computer Graphics Technologies for Visualisation of the 3D Modeling Results of Contaminants Migration in Natural Disperse Media. Ecological Bulletin. (37), 35–39 (in Russian).
14. Shalkevich P. K., Kundas S. P., Moroz A. E. (2017) Application of Cloud Technologies for Modeling the Migration of Pollutants in Natural Dispersed Media. Sakharov Readings 2017: Environmental Problems of the XXI Century: Proceedings of the 17th International Scientific Conference, Minsk, May 18–19, 2017. Minsk, Information Center of the Ministry of Finance. Part 2. 252 (in Russian).
15. Shalkevich P. K., Kundas S. P., Gishkeluk I. A. (2014) The Algorithm of Parallel Computing of the Nonisothermal Heat and Moisture Migration Task in Natural Disperse Environment. Doklady BSUIR. (5), 90–94 (in Russian).
Review
For citations:
Shalkevich P.K., Dalmatava A.O. Algorithm for Automating Input and Processing of Initial Data for Computer Forecasting of Spatial Migration of Radionuclides in Soils. Digital Transformation. 2023;29(3):34-42. (In Russ.) https://doi.org/10.35596/1729-7648-2023-29-3-34-42