Modeling the Chemical Pollution of the Area by the Random-Addition Method

Currently, a significant group of industrial facilities can be classified as chemically hazardous facilities (CHFs). To predict the spread of harmful impurities in the programs being developed, Gaussian and Lagrangian models are actively used, on the basis of which the complexes used both in the EME...

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Main Authors: Roman Ekhlakov, Ekaterina Romanova, Elena Dogadina, Sergey Korchagin, Sergey Gataullin, Józef Mosiej, Timur Gataullin, Petr Nikitin
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Fractal and Fractional
Subjects:
Online Access:https://www.mdpi.com/2504-3110/6/4/193
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author Roman Ekhlakov
Ekaterina Romanova
Elena Dogadina
Sergey Korchagin
Sergey Gataullin
Józef Mosiej
Timur Gataullin
Petr Nikitin
author_facet Roman Ekhlakov
Ekaterina Romanova
Elena Dogadina
Sergey Korchagin
Sergey Gataullin
Józef Mosiej
Timur Gataullin
Petr Nikitin
author_sort Roman Ekhlakov
collection DOAJ
description Currently, a significant group of industrial facilities can be classified as chemically hazardous facilities (CHFs). To predict the spread of harmful impurities in the programs being developed, Gaussian and Lagrangian models are actively used, on the basis of which the complexes used both in the EMERCOM of Russia and in research organizations are being implemented. These complexes require the introduction of a large amount of information, including the characteristics of the wind field in the distribution of an emergency chemically hazardous substance, which limits their use. In systems, the formation of which is influenced by a large number of different random factors, spatial scaling (similarity) is often found, and one or another parameter can be described using the methods of fractal geometry, which in the past few decades has been actively and successfully applied to the description of various physical objects. The purpose of this study is to analyze the possibility of using the random-addition method for early prediction of the distribution of harmful impurities in the surface air layer during the short-term release of a substance on the surface as a result of an emergency.
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spelling doaj.art-c4b147daff074de2b47466df3aa391bc2023-11-23T08:15:21ZengMDPI AGFractal and Fractional2504-31102022-03-016419310.3390/fractalfract6040193Modeling the Chemical Pollution of the Area by the Random-Addition MethodRoman Ekhlakov0Ekaterina Romanova1Elena Dogadina2Sergey Korchagin3Sergey Gataullin4Józef Mosiej5Timur Gataullin6Petr Nikitin7Department of Data Analysis and Machine Learning, Financial University under the Government of Russian Federation, 4th Veshnyakovsky pr. 4, 111395 Moscow, RussiaDepartment of Data Analysis and Machine Learning, Financial University under the Government of Russian Federation, 4th Veshnyakovsky pr. 4, 111395 Moscow, RussiaDepartment of Data Analysis and Machine Learning, Financial University under the Government of Russian Federation, 4th Veshnyakovsky pr. 4, 111395 Moscow, RussiaDepartment of Data Analysis and Machine Learning, Financial University under the Government of Russian Federation, 4th Veshnyakovsky pr. 4, 111395 Moscow, RussiaDepartment of Data Analysis and Machine Learning, Financial University under the Government of Russian Federation, 4th Veshnyakovsky pr. 4, 111395 Moscow, RussiaDepartment of Environmental Improvement, Faculty of Engineering and Environmental Sciences, Warsaw University of Life Sciences—SGGW, 02-787 Warsaw, PolandDepartment of Mathematical Methods in Economics and Management, State University of Management, Ryazansky pr. 99, 109542 Moscow, RussiaDepartment of Applied Informatics, Russian State Agrarian University—Moscow Timiryazev Agricultural Academy, Timiryazevskaya Street 49, 127550 Moscow, RussiaCurrently, a significant group of industrial facilities can be classified as chemically hazardous facilities (CHFs). To predict the spread of harmful impurities in the programs being developed, Gaussian and Lagrangian models are actively used, on the basis of which the complexes used both in the EMERCOM of Russia and in research organizations are being implemented. These complexes require the introduction of a large amount of information, including the characteristics of the wind field in the distribution of an emergency chemically hazardous substance, which limits their use. In systems, the formation of which is influenced by a large number of different random factors, spatial scaling (similarity) is often found, and one or another parameter can be described using the methods of fractal geometry, which in the past few decades has been actively and successfully applied to the description of various physical objects. The purpose of this study is to analyze the possibility of using the random-addition method for early prediction of the distribution of harmful impurities in the surface air layer during the short-term release of a substance on the surface as a result of an emergency.https://www.mdpi.com/2504-3110/6/4/193fractalsrandom-addition methodchemical pollution
spellingShingle Roman Ekhlakov
Ekaterina Romanova
Elena Dogadina
Sergey Korchagin
Sergey Gataullin
Józef Mosiej
Timur Gataullin
Petr Nikitin
Modeling the Chemical Pollution of the Area by the Random-Addition Method
Fractal and Fractional
fractals
random-addition method
chemical pollution
title Modeling the Chemical Pollution of the Area by the Random-Addition Method
title_full Modeling the Chemical Pollution of the Area by the Random-Addition Method
title_fullStr Modeling the Chemical Pollution of the Area by the Random-Addition Method
title_full_unstemmed Modeling the Chemical Pollution of the Area by the Random-Addition Method
title_short Modeling the Chemical Pollution of the Area by the Random-Addition Method
title_sort modeling the chemical pollution of the area by the random addition method
topic fractals
random-addition method
chemical pollution
url https://www.mdpi.com/2504-3110/6/4/193
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