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All issues Volume 264 (2021) E3S Web Conf., 264 (2021) 01021 References
Open Access
Issue
E3S Web Conf.
Volume 264, 2021
International Scientific Conference “Construction Mechanics, Hydraulics and Water Resources Engineering” (CONMECHYDRO - 2021)
Article Number 01021
Number of page(s) 12
Section Ecology, Hydropower Engineering and Modeling of Physical Processes
DOI https://doi.org/10.1051/e3sconf/202126401021
Published online 02 June 2021
  1. Sukhinov A.I., Gadelshin V.K. and Lyubomishchenko J.S., Mathematical modeling of the spread of harmful impurities in the city atmosphere based on the iocv method, Izvestia SFedU. Engineering pp 177–186, (2005) [Google Scholar]
  2. Berlyand M. E., Forecast and regulation of air pollution. L: Gidrometeoizdat. (1985). [Google Scholar]
  3. Marchuk G. I., Mathematical modeling in the environmental problem. M: Nauka. (1982). [Google Scholar]
  4. Shunxiang H., Feng L., Qingcun Z., Fei H. and Zifa W., Modeling and Optimal Control of Atmospheric Pollution Hazard in Nuclear and Chemical Disasters UTAM Symposium on the Dynamics of Extreme Events Influenced by Climate Change. Procedia IUTAM 17, pp. 79–90, (2015). [Google Scholar]
  5. Huang S., Chen H., Liu F., Liu S. and Zhu F., Numerical Simulation and Experimental Comparison on Atmospheric Pollution Chemical Accident Hazard Predicting(CDM) Acta Sci. Nat. Univ. Pekin. 47, pp. 664–670, (2011). [Google Scholar]
  6. Muradov F. and Akhmedov D., Numerical Modeling of Atmospheric Pollutants Dispersion Taking into Account Particles Settling Velocity International Conference on Information Science and Communications Technologies: Applications, Trends and Opportunities, ICISCT 2019. Institute of Electrical and Electronics Engineers Inc. (2019) [Google Scholar]
  7. Surkova G. V., Kirsanov A. A., Kislov A. V., Revokatova A.P. and Rivin G. S., Prediction of the concentration of pollutants using the combined model COSMO-RU7-ART Proceedings of the Hydrometeorological Research Center of the Russian Federation pp 115–138 (2014) [Google Scholar]
  8. Pruppacher H. R. and Klett J. D., The Atmospheric Aerosol and Trace Gases (Springer, Dordrecht) pp 216–286. (2010) [Google Scholar]
  9. Aydosov A., Urmashev B. and Zaurbekova G., Modeling the spread of harmful substances in the atmosphere at a variable velocity profile Open Eng. 1, pp. 264–269, (2016). [Google Scholar]
  10. Mirzaev S.S., Kholmatova I., Shadmanova G., Yusupov M. and Kubyashev K. Numerical modeling of two-dimensional two-phase filtration under frontal drive. Construction Mechanics, Hydraulics and Water Resources Engineering (CONMECHYDRO - 2020). Tashkent Institute of Irrigation and Agricultural Mechanization Engineers. 23-25 April, (2020). [Google Scholar]
  11. Mirzaev S.S., Tukhtanazarov D., and Karimova Kh.Kh. Software for Determining Residual Oil Reserves in Oil Deposit Development. Construction Mechanics, Hydraulics and Water Resources Engineering (CONMECHYDRO - 2020). Tashkent Institute of Irrigation and Agricultural Mechanization Engineers. 23-25 April, 2020. (2020). [Google Scholar]
  12. Sharipov D., Muradov F. and Akhmedov D., Numerical modeling method for short-term air quality orecast in industrial regions Appl. Math. E - Notes (2019) [Google Scholar]
  13. Mo’minov B. B. and Eshankulov Kh., Modelling asynchronous parallel process with Petri net Int. J. Eng. Adv. Technol. 8 400–405. (2019) [Google Scholar]
  14. Akhmedov D., Ravshanov N. and Muradov F., Mathematical software to study the harmful substances diffusion in the atmosphere PONTE Int. Sci. Res. J. (2018) [Google Scholar]
  15. Liu D. and Kenjeres S., Google-earth based visualizations for environmental flows and pollutant dispersion in urban areas Int. J. Environ. Res. Public Health (2017) [Google Scholar]
  16. Thabet S. and Thabit T. H., Computational Fluid Dynamics: Science of the Future Int. J. Res. Eng. 5 430–433 (2018) [Google Scholar]
  17. Laganà A. and Riganelli A., Computational Reaction and Molecular Dynamics: from Simple Systems and Rigorous Methods to Large Systems and Approximate Methods Reaction and Molecular Dynamics. Springer, Berlin, Heidelberg. pp 1–12 (2020) [Google Scholar]
  18. Ravshanov N. and Shafiev T. R., Nonlinear mathematical model for monitoring and predicting the process of transfer and diffusion of fine-dispersed aerosol particles in the atmosphere Journal of Physics: Conference Series. (2019) [Google Scholar]
  19. Sharipov D. K., Tashtemirova N. and Narzullayeva N., Numerical modeling of the spread of harmful substances in the atmosphere taking into account terrain Probl. Comput. Appl. Math. 1, pp. 60–72, (2016) [Google Scholar]
  20. Ravshanov N., Shafiev T. R. and Tashtemirova N., Nonlinear mathematical model for monitoring and forecasting the process of distributing aerosol particles in the atmosphere Bull. TUIT Manag. Commun. Technol. 1, pp. 1–9, (2018). [Google Scholar]
  21. Ravshanov N., Abdullayev Z. and Shafiev T. R., Mathematical model and numerical algortm to study the process of aerosol particles distribution in the atmosphere. International Conference on Information Science and Communications Technologies (ICISCT) Tashkent: IEEE. (2019) [Google Scholar]
  22. Ravshanov N., Muradov F., Shafiev T. Mathematical model and effective numerical algorithm for monitoring and predicting the concentration of harmful substances in the atmosphere, taking into account the physical and mechanical properties of particles. Problems of Computational and Applied Mathematics 5, pp. 1–22, (2020) [Google Scholar]
  23. Shadmanova G., Karimova Kh.Kh., and Ziyaeva Sh.K. Choice of optimal options for land use of farms with the application of information technologies. International Conference on Information Science and Communications Technologies (ICISCT). Tashkent. (2019). [Google Scholar]
  24. Shadmanova, G., Karimova Kh.Kh. Information systems in water management. International Conference on Information Science and Communications Technologies (ICISCT). Tashkent. (2019) [Google Scholar]
  25. Shodmonova G., Islomov U., Inamov A., Samadov N. On one approach to numerical solution of nonlinear integro-differential equations. International Conference on Materials Physics, Building Structures and Technologies in Construction, Industrial and Production Engineering (MPCPE-2020). Vladimir, Russia, April 27-28, (2020). [Google Scholar]
  26. Karimova X., Xikmatullaev S., Oymatov R. Vertical nonlinear oscillations of viscoelastic systems with multiple degrees of freedom. International Conference on Materials Physics, Building Structures and Technologies in Construction, Industrial and Production Engineering (MPCPE-2020). Vladimir, Russia, April 27-28, (2020) [Google Scholar]

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