The analysis and prediction of pollutant dispersion in the atmosphere continue to be crucial areas of environmental research. Mathematical models are the most effective tools for identifying and understanding the complex dynamics of mass transfer processes in the atmosphere. Lagrangian Particle Dispersion Models are among the most widely utilized in air pollutants transport modeling. This paper deals with development of Lagrangian model for simulating the atmospheric dispersion of radioactive particles as well as computational algorithm for the problem aproximate solution. The model incorporates critical elements such as the influence of turbulent air flow parameters, the physical properties of the particles, and the effects of radioactive decay. The practical utility of the developed model, algorithm, and accompanying software is demonstrated through their ability to simulate pollutant emissions from a stationary point source and to map the trajectories of these particles over a specified time frame. The results of the modeling can provide insights into the potential environmental impacts of hazardous emissions.
| Mualliflar | Ravshanov, N., Akhmedov, D., Ubaydullaev, M., Nasrullaev, P., Равшанов, Н., Ахмедов, Д., Убайдуллаев, М., Насруллаев, П. |
|---|---|
| Jurnal | Ҳисоблаш ва амалий математика муаммолари |
| Nashr sanasi | 2024-07-19 |
| Son | 3 |
| Betlar | 5-25 |
| Til | Rus |
particle trajectory, atmosphere, turbulent flow, drag, particle relaxation time, radioactive decay, mathematical model, computational algorithm, траектория движения частиц, атмосфера, турбулентный поток, лобовое сопротивление, время релаксации частицы, радиоактивный распад, математическая модель, вычислительный алгоритм
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