Computer simulation of the spread of anthropogenic pollutants in the atmosphere

Highlights

- Modeling the regional transport of hazardous substances is of paramount importance, particularly in the context of chemical/biological weapons threats, necessitating fundamentally new computational approaches.

- The analysis revealed a systemic crisis in modeling: traditional methods have exhausted their potential for largescale tasks, while the transition to computer-based forecasting is hindered by a lack of specialized soſtware and methodological solutions.

Relevance. The study of atmospheric dispersion patterns of pollutants has become critically important amid increasing anthropogenic pollution and potential threats of chemical/biological weapons use, accidents at nuclear chemical and biological hazardous facilities, terrorist attacks, and sabotage. Advances in computational technologies offer new opportunities for modeling these processes.

Purpose of the study is to a comprehensive analysis of modern mathematical modeling methods for atmospheric dispersion of anthropogenic pollutants.

Study base sources. An analytical review of scientific publications from Google Scholar and the Russian Electronic Library, supplemented by the authors' own developments.

Method. Analytical.

Discussion. The catastrophic increase in pollution, especially in urbanized areas, calls for improved forecasting methods. This is particularly relevant in the context of potential aerosol-based chemical/biological weapons use. Computer modeling enables solutions to previously intractable forecasting challenges.

Conclusions. Existing models are effective for local-scale calculations (up to several kilometers) but require development for regional scales and especially in large city conditions. A key limitation is the shortage of specialized soſtware. Researchers must choose between adapting existing methodologies and developing new solutions.

1. Lyashenko NV, Lepikhova VA, Vyaltsev AV. Safety in emergency situations caused by accidents with AHS. Novocherkassk: Lik; 2021. 112 p. (in Russian).

2. Nafikova EV, Elizariev AN, Musina SA, Terpigoreva IV. Ensuring the safety of the population and territories in case of accidents at chemically hazardous facilities. Ufa: RIK UGATU; 2020. 126 p. (in Russian).

3. Sutton OG. Micrometeorology. New York: McGraw-Hill; 1953.

4. Byzova NL. Methodological guide for calculating the scattering of impurities in the boundary layer of the atmosphere based on meteorological data. Moscow: Gidrometeoizdat; 1973. 46 p. (in Russian).

5. Byzova NL. Scattering of impurities in the boundary layer of the atmosphere. Moscow: Gidrometeoizdat; 1974. 191 p. (in Russian).

6. Byzova NL, Garger EK, Ivanov VN. Experimental studies of atmospheric diffusion and calculations of impurity scattering. Leningrad: Gidrometeoizdat; 1991. 280 p. (in Russian).

7. Monin AS, Yaglom AM. Statistical hydromechanics. Part 1. Moscow: Nauka; 1965. 638 p. (in Russian).

8. Berland ME. Modern problems of atmospheric diffusion and atmospheric pollution. Leningrad: Gidrometeoizdat; 1975. 448 p. (in Russian).

9. Witelis VM, Kainov YuN, Kireev VA. Methods for calculating damage caused by the use of chemical and incendiary weapons by a likely enemy. Part 2. Methods for assessing the characteristics of the damaging effect of chemical munitions and devices of a likely enemy. Moscow: VAChZ; 1985. 135 p. (in Russian).

10. Berland ME. Forecast and regulation of atmospheric pollution. Leningrad: Gidrometeoizdat; 1985. 272 p. (in Russian).

11. Monin AS. Semi-empirical theory of turbulent diffusion. Proceedings of the Geophysical Institute of the USSR Academy of Sciences. 1956;(33):3–47 (in Russian).

12. Karol IL. On the influence of the surface layer of the atmosphere on the spread of a heavy homogeneous admixture from a high-altitude instantaneous point source. Izvestiya AN SSSR, ser. geofiz. 1959;(7):1079–84 (in Russian).

13. Gagarin MV, Karmishin AM, Kravchenko OP. Theory of the destructive effect of weapons of mass destruction. Moscow: VAChZ; 1995. 152 p. (in Russian).

14. Marchuk GI. Mathematical modeling in the problem of the environment. Moscow: Nauka; 1982. 320 p. (in Russian).

15. Penenko VV, Aloyan AE. Models and methods for environmental protection tasks. Novosibirsk: Nauka; 1985. 256 p. (in Russian).

16. Aloyan AE. Modeling of dynamics and kinetics of gas impurities and aerosols in the atmosphere. Moscow: Nauka; 2008. 415 p. (in Russian).

17. Loborev VM, Vol. 1. The development of the explosion, Eds. In: Anisimov AV, Ed. The physics of a nuclear explosion. In 5 vol. Moscow: Fizmatlit; 2009. 832 p. (in Russian).

18. Ignatieva LP, Potapova MO, Chirtsova MV, et al. Ecological and hygienic criteria for assessing atmospheric air pollution. Irkutsk: IGMU; 2022. 79 p. (in Russian).

19. Amosov PV, Baklanov AА, Makarov DV, Masloboev VА. 2022. Numerical modeling of atmospheric pollution in the approaches of random selection of discrete dusting sites and interval distribution of dust size. Vestnik of MSTU. 2022;25(1):61–73 (in Russian). https://doi.org/10.21443/1560-9278-2022-25-1-61-73

20. Dobrovolskaya LО, Kluev DS. Forecasting the degree of air pollution in the industrial region. Bulletin of Priazovsky State Technical University. Ser. Techn Science. 2018;(36):216–23 (in Russian). https://doi.org/10.31498/2225-6733.36.2018.142552

21. Shalygina IYu, Kuznetsova IN, Nakhaev MI, Konovalov IB, Zaharova PV. Forecasting of weather conditions and air pollution with application of data of the numerical model of the atmosphere and a chemical transport model. Proceedings of the Hydrometcentre of Russia. 2017;365:81–93 (in Russian).

22. Aidosov A, Aidosov GA, Zaurbekov NS. Model assessment of the ecological situation of the components of the natural environment taking into account atmospheric processes. Moscow: Akademia Estestvoznania; 2018. 342 с. (in Russian).

23. Semakin AN. Evaluation of the scalability property of the program for the simulation of atmospheric chemical transport by means of the simulator gem5. Computer Research and Modeling. 2020;12(4):773–94 (in Russian). https://doi.org/10.20537/2076-7633-2020-12-4-773-794

24. Powers JG, Klemp JB, Skamarock WC, Davis C, Dudhia J, Gill DO, et al. The Weather Research and Forecasting model: Overview, system efforts, and future directions. Bulletin of the American Meteorological Society. 2017;98(8):1717–37.

25. Sportisse B. Fundamentals in air pollution: from processes to modelling. Springer; 2010. 299 p.

26. Thakur P, Ballard S, Nelson R. Radioactive fallout in the United States due to the Fukushima nuclear plant accident. Journal of Environmental Monitoring. 2012;14(5)P:1317–24.

27. Sandberg A, Nikoleris N, Carison TE, Hagersten E. Kaxiras detailed architectural simulation at near-native speed workload characterization. 2015. P. 183–92.

28. Rozinkina IA, Rivin GS, Bagrov AN, Blinov DV, Bykov FL, Vaskova DV, et al. The COSMO-Ru2By configuration of the COSMO model: skill and methodology for estimating of the forecasts of β- and γ-mesoscale processes. Hydrometeorological research and forecasts. 2023;(2):6–34 (in Russian).

29. Starchenko A.V., Belikov D.A., Vrazhnov D.A., Yesaulov A.O. Application of MM5 and WRF mesoscale models to research of regional atmospheric processes. Atmospheric and Oceanic Optics. 2005;18(5-6):455–61 (in Russian).

30. Danabasoglu G, Lamarque J-F, Bacmeister J, Bailey D, Duvivier A, Edwards J, et al. The Community Earth System Model version 2 (CESM2). Journal of Advances in Modeling Earth Systems. 2020;12(2). https://doi.org/10.1029/2019MS001916

31. Kantyukov RA, Meshalkin VP, Panarin VM, Goryunkova AA, Gimranov RK Rizhenkov IV, Kantyukov RR. Computer simulation of pollution in atmosphere ruptured pipeline. Petroleum engineering. 2015;13(1):90–6. EDN: VEDWKJ (in Russian).

32. Lapteva NA, Safatov AS, Agafonov AP. Simulation of the sars-cov-2 virus containing aerosol particles spread around a hospital. Atmospheric and Oceanic Optics. 2023;36(6):443–7 (in Russian). https://doi.org/10.15372/AOO20230603

33. Wark K, Warner S. Air pollution. Sources and controls. Moscow: Mir; 1980. 544 p. (in Russian).

34. Yablokov AV. On the concept of "population load" (Review). Hygiene and Sanitation. 2015;(6):11–5. EDN: UXZQRD (in Russian).

35. Makosko AA, Matesheva AV. Atmospheric pollution and the quality of life of the population in the 21 century: threats and prospects. Moscow: RAS; 2020. 258 p. (in Russian).

36. Borodulin AI, Desyatov BM, Yarygin AA. A model for the propagation of atmospheric impurities in the boundary layer of the atmosphere. A computer program. Reg. No 2007610293. 16.01.2007 (in Russian).

37. Starchenko AV, Kizhner LI, Danilkin EA, et al. Numerical modeling of weather and atmospheric air quality in cities. Tomsk: Tomsk University Press; 2022. 138 p. (in Russian).

38. Tolstykh MA. Atmospheric modeling system for seamless forecasting. Moscow: Hydrometeorological Research Center of the Russian Federation. 2017. 166 p. (in Russian).

39. Arutyunyan RV, Bolshov LA, Borovoy AA, Velikhov EP. System analysis of the causes and consequences of the accident at the “Fukushima-1” nuclear power plant. Moscow; 2018. 408 p. (in Russian).

40. Babkov VS, Tkachenko TYu. Analysis of mathematical models of distribution of impurities from point sources. Scientific works of DonNTU. Series “Computer Science, cybernetics and computer engineering”. 2011;(13):147–55 (in Russian).

41. Dunsky VF, Nikitin NV, Sokolov MS. Pesticide aerosols. Moscow: Nauka; 1982. 288 p. (in Russian).

42. Borodulin A.I., Maistrenko G.M., Chaldin B.M. Statistical description of aerosol propagation in the atmosphere. Method and applications. Novosibirsk: Novosibirsk University Press; 1992. 124 p. (in Russian).

43. Borodulin A.I., Tens B.M. Modeling of the propagation of impurities in the atmospheric boundary layer. Novosibirsk: Novosibirsk University Press; 2007. 376 p. (in Russian).

44. Khripkov YuI. Mathematical modeling in epidemiology with the aerosol mechanism of infection transmission (quantitative epidemiology). Moscow: VU RChBZ; 2003. 274 p. (in Russian).

45. Semenchin EA, Kuzyakina MV. Stochastic methods for solving inverse problems in a mathematical model of atmospheric diffusion. Moscow: Fizmatlit; 2012. 176 p. (in Russian).

46. Csanady GT. Dispersion of particles from elevated sources. Part. I. Aust J Phus. 1955(8):545–50.

47. Csanady GT. Dispersion of dust particles from elevated sources. Part. II. Aust J Phus. 1957;(10):558–64.

48. Csanady GT. Variance of local concentration fluctuations. Phys Fluids. 1967;10(9):76–78.

49. Csanady GT. Turbulent diffusion: elementary statistical theory and atmospheric applications. Turbulent Diffusion in the Environment. Geophysics and Astrophysics Monographs, v. 3. Boston (USA): Reidol Publishing Company; 1973. P. 46–81.