Environment Pollution Modeling on the Base of Quick Computing Models

The paper establishes that currently the qualitative composition of atmospheric air is a serious ecological, social and economic problem of urbanized territories. It is explained by the fact that its qualitative composition on urbanized territories is formed under the influence of gas and dust emissions of enterprises and motor vehicles. Moreover the contribution of the latter to the general air pollution for most towns and cities ofUkrainemakes 60-90 % of the total amount of emissions. The level of the air pollution inKhersoncaused by means of transport was determined on the basis of calculations by the relevant method of maximum one-time pollutant emissions from traffic flows. 14 monitoring points of the main motorways of Kherson on 5 testing grounds were chosen in order to determine them. The internal territorial zoning ofKhersonwas conducted by means of the GIS-package Surfer 8.0, using Kriging method. The qualitative composition of the atmospheric air in Khersonis determined by the level of its industrial development, the development of its service sector, the number of motor vehicles. Considering this, the most important anthropogenic source of the atmospheric air pollution in Khersonurban ecosystem is motor transport. Its intensive development leads to the construction of filling stations, service and repair centers, the development of the network of car wash services and parking lots. Therefore the main areas of air pollution are concentrated in the places, bordering on the motorways and the objects of transport infrastructure. In order to determine the level of the atmospheric air pollution caused by traffic flows, the calculation of their maximum dangerous emissions was performed in rush hours in the spring-summer period. The analysis of the calculation results showed that the intensity of the automobile traffic made from 28 thousand automobiles to 100 thousand automobiles per day on all the investigated sections, about 70 % of the motor vehicles are cars. It has been established that when changing the modes of vehicle activity (accelerating, idling) less pollution is observed on the sections of regulated movement, than on the sections of non-regulated movement. It is explained by intensive traffic flows across the mentioned sections in holiday seasons and the intersection of the roads joining the administrative parts of the city. The internal territorial zoning ofKhersonwas conducted on the basis of determining the amount of the main emission indexes of the atmospheric air pollution caused by motor vehicles. According to the obtained research results 8 zones of air qualitative condition depending on the pollution caused by means of transport were distinguished, their ecological evaluation was performed by the following scale: 0.5-1.5 – an environmentally safe zone, 1.5-2.5 – a moderately safe zone, 2.5-7.5 – a polluted zone, 7.5-12 – a very polluted zone. It has been established that the atmospheric air pollution withinKhersonurban ecosystem is formed concentrically. The highest level of pollution by harmful substances is observed on the Victory Square (3 testing ground), the Hannibal Square, the Freedom Square, The Shipbuilders' Square (5 testing ground), the Railway Station Square (2 testing ground), the least maximum second emissions – in 200 years street of Kherson / Vyshneva (1 testing ground), Stritenska street / Komkova street (the part of 3 testing ground), Kulyka street / Ladychuka street (the part of 5 testing ground). Since carbon oxide is among the most widespread toxic substances in the atmospheric air caused by motor vehicles, its concentration was calculated empirically in order to determine the level of pollution on the main motorways ofKherson. Evaluating the results of the performed calculations it should be mentioned that the concentration of carbon oxide on all the investigated sections exceeds the maximum allowable concentration 5–20 times. The ecological evaluation of the atmospheric air condition by carbon oxide was performed by the following scale: 0.0-1.9 – an environmentally safe zone, 2-4.9 – a moderately safe zone, 5-7.9 – a polluted zone, 8.0-10 – a very polluted zone. The highest level of pollution by this ingredient was observed on the Victory Square (3 testing ground), the Railway Station Square, the Hannibal Square, the Freedom Square, Nebesna Sotnia street (5 testing ground), the lowest level of pollution – in the area of 3 bayonets (1 testing ground), 200 years of Kherson street / Vyshneva street (1 testing ground). In the research it has been established that the level of gas pollution of the arterial roads and the territories along the motorways depends on the intensity of road traffic, the width and relief of a street, meteorological characteristics, the ratio of trucks and cars, the type of city building. The main streets in the central part of Khersonwith the most intensive traffic flows produce the most dangerous and moderately dangerous air pollution on the territory of residential buildings in the area of 100 mfrom the passable parts of the streets. On the basis of the determined concentration of carbon dioxide the zoning of Khersonurban ecosystem has been conducted. It has been determined that the pollution caused by motor vehicles is spread across the city concentrically. The integrated measures concerning the minimization of a negative impact of motor vehicles on the atmospheric air have been suggested on the basis of rationalization of auto transportation by ecological criteria and appropriate planning of road traffic. Key words: atmospheric air, emissions, pollutants, maximum allowable concentration, internal territorial zoning

Purpose. Development of a CFD model that makes it possible to quickly predict the level of dust pollution of atmospheric air after an explosion in a quarry, development of a fast CFD calculation model. Methodology. To solve the aerodynamics and mass transfer problem, the fundamental equations of continuum mechanics are used. The air flow velocity field is modeled using the Laplace equation for the velocity potential. Numerical integration of the Laplace equation is carried out using the splitting method. After splitting, difference equations are constructed that can be solved by an explicit formula. The G. Marchuk model is used to model the distribution of dust in atmospheric air. Difference splitting schemes are used for numerical integration of the mass transfer equation. At the first stage, physical splitting is carried out into the equations of diffusion and convective dust transport. Then, alternating triangular difference splitting schemes are constructed. The terrain is modeled on a rectangular difference grid using markers. Findings. A set of numerical models has been developed to solve the problems of aerodynamics and mass transfer of a significant impurity in atmospheric air. Finite-difference splitting schemes have been used to build numerical models, which allow obtaining simple calculation dependencies. The constructed numerical models make it possible to quickly calculate the dynamics of dust pollution in conditions of complex terrain. Originality. Numerical models have been built to analyze the dynamics of dust pollution of atmospheric air after an explosion in a quarry. The model makes it possible to take into account the geometric shape of the relief, weather conditions, the rate of gravitational dust deposition, atmospheric diffusion, and the shape of the dust cloud after the explosion. The model can be used for rapid assessment of the impact of explosions on the environment. Practical value. A specialized package of computer programs has been developed to conduct a computational experiment based on the constructed numerical models. The results of the numerical experiment are presented.

Problem statement. The problem of predicting chemical pollution zones near the highway, where protective barriers are located, is considered. The protective barriers influence the aerodynamics of air flow and reduce the level of working areas chemical pollution near the highway. It is necessary to have mathematical models that allow such evaluation at the design stage in order to evaluate the effectiveness of protective barriers promptly. The purpose of the article. Development of a numerical multi-parameter model and computer program for evaluating the effectiveness of the protective barriers using near the highway to reduce the chemical contamination level of work areas. Methodology. A two-dimensional mass transfer equation is used for mathematical modeling of chemical hazardous substances spreading that are emitted from a car and spread near the highway. This simulation equation takes into account the wind direction, atmospheric diffusion, the intensity of chemically hazardous substance emission from the car, the emission source location, the car body and the location of protective barriers near the highway. The Navier − Stokes equation and the potential motion model both are used to solve the aerodynamics problem of determining the uneven air velocity field near the highway. An implicit splitting difference scheme is used to numerically integrate the vortex transfer equation. Two numerical schemes are used to numerically integrate the equation for the current function. An explicit difference scheme is used to numerically integrate the Laplace equation for the velocity potential. Based on the constructed numerical model the package of programs is developed. To solve numerically equation of pollutant transfer the finite difference schemes of splitting are used. Scientific novelty. To calculate the formation of chemical pollution areas for atmospheric air near the highway during emissions from vehicles numerical model is proposed. This model allow to estimate the protective barriers effectiveness for reducing air pollution in the working areas. Practical significance. Based on the developed model the code for quickly calculation of air pollution process both near the highway and in work areas protecting with barriers is created. Conclusions. The developed numerical model and the computer code implementing it allow to investigate the process of chemical hazardous substance spreading in the atmospheric air near the highway. The model allows to quickly determine the effectiveness of protective barriers using near the highway. The developed computer program can be implemented on low and medium power computers. The results of a computational experiment are presented.

Problem statement. The problem of prediction the level of air pollution in working areas is considered on the basis of mathematical models of aerodynamics and heat and mass transfer. The task is to calculate the concentration field of chemically hazardous substances and the temperature field in the working zones. The purpose of the article. Construction of numerical models that allow determine the distribution of temperature and concentration of chemically hazardous substances in work areas with a complex geometric shape. Methodology. For numerical modeling of the process of air pollution in working areas during the spread of chemically hazardous substances, G. Marchuk's equation is used, which takes into account the transfer of a chemically hazardous substance due to convection, as well as due to turbulent diffusion. The energy equation is used to model the thermal contamination of work areas. To simulate the wind speed field in the presence of various kinds of obstacles, the Laplace equation for the speed potential is used. The integration of the modeling equations is carried out on a rectangular grid. For the numerical integration of the equation describing the propagation of a chemically hazardous substance in the air of working areas, a finite-difference splitting scheme is used. For the numerical integration of the Laplace equation for the velocity potential, two splitting schemes are used. The unknown value of the velocity potential at each splitting step is calculated using an explicit formula. Numerical integration of the energy equation is carried out using an explicit difference scheme. Scientific novelty. The constructed numerical models that allow to calculate the zones of chemical and thermal pollution, taking into account a set of important physical factors. A feature of numerical models is the speed of calculation, which is important when serial calculations are carrying out in practice. Practical significance. A complex of applied programs was created on the basis of the developed numerical models. This complex of programs allows to analyze and predict the intensity and size of zones of thermal or chemical pollution. This set of programs can be useful in determining the affected areas in case of extreme situations at chemically hazardous facilities. Conclusions. Numerical models have been developed. On the basis of these models a complex of applied programs has been created that allow to study multiparameter processes of chemical and thermal air pollution of working areas using the method of computer modeling. The complex of programs can be implemented on computers of low and medium power. The results of a computational experiment are presented.

Problem statement. Emissions from motor vehicles create significant areas of chemical air pollution near highways. Shopping malls are often located near highways. This arrangement of people during the working day near the highway creates a risk of workers becoming ill. Therefore, it is important to reduce the intensity of air pollution. The simplest and most effective way to protect against atmospheric air pollution near highways is to use barriers. To substantiate the parameters of the protective barrier, you need to have specialized mathematical models. The purpose of the article. Development of numerical models to calculate the level of contamination of work areas near highways in order to determine the effectiveness of using protective barriers to reduce the risk of diseases in workers. Methodology. For mathematical modeling of impurity propagation in the presence of protective barriers, two-dimensional equations of aerodynamics and mass transfer are used. The developed numerical model allows taking into account the air flow velocity profile, atmospheric diffusion, impurity emission intensity, and the rate of gravitational deposition of the impurity in the air. Finite-difference splitting schemes are used for numerical integration of the modeling equations of aerodynamics and mass transfer. Scientific novelty. An effective numerical model is proposed that allows determining the field of concentration of a hazardous substance near a highway. The model allows analyzing air pollution zones taking into account the influence of a protective barrier located near the highway. Based on the data on the distribution of the concentration of a hazardous substance, the risk of developing diseases in a person located in the zone of influence of vehicle emissions is determined. Practical significance. The constructed model can be used to quickly predict the level of danger for workers whose work area is located near the road. Conclusions. A software implementation of the developed numerical model was carried out, and a computational experiment was conducted, which illustrated the effectiveness of using the developed numerical model for solving applied problems.

Problem statement. The task of assessing the influence of the boiler house on atmospheric air pollution is under consideration. Carrying out such an assessment is very important when locating boiler houses near residential areas. Since the weather conditions for each region are characterized by a change in the direction of the wind, the intensity of atmospheric diffusion, the appearance of a calm, it is important to have information about the formation of pollution zones in sedimentary zones. To solve this important problem, it is very important to use mathematical modeling, since it is currently impossible to create a sufficient number of observation posts near the objects of the fuel and energy complex. The purpose of the article. Numerical analysis of the influence of the boiler house on the intensity of atmospheric air pollution under different weather conditions. Methodology. The 3D equation of convective-diffusion transport is used to estimate the pollution zones formed in the atmospheric air when it is emitted from the boiler house pipe. The model takes into account atmospheric stratification, impurity emission intensity, wind profile, wind speed. Numerical integration of the equation of convective-diffusion transport of impurities is carried out using finite-difference schemes. The modeling equation is split into an equation for the convective transport of the pollutant and an equation for the dispersion of the pollutant due to atmospheric diffusion. The equation describing the change in the concentration of the impurity in the atmospheric air as a result of the emission of the pollutant from the pipe is solved separately. At the next stage, finite-difference schemes are built that allow solving the splitting equation. Scientific novelty. On the basis of the constructed numerical model, the zones of atmospheric air pollution during the emission of CO from the pipe of the boiler house are determined. A numerical model is proposed that allows forecasting atmospheric air pollution for different weather conditions within the framework of one program package. Practical significance. On the basis of the proposed numerical model, the forecasting of the zones of chemical pollution of the atmospheric air in the settlement zone in which the boiler house is located was carried out. The results of the computational experiment are presented.

Introduction. Deposits of various types of asbestos are widespread in the earth’s crust. In these areas there may be a possibility of the atmospheric air pollution by asbestos fibers, especially in the case of industrial development of these deposits or active use by the resident population. The purpose of this study was to assess the possibility of air pollution by amphibole asbestos fibers in the areas of disused flooded quarries in Sverdlovsk region. Materials and methods. 5 samples of atmospheric air, water and soil were taken and analyzed at the territories in Sverdlovsk region where magnesio-arfvedsonite and anthophyllite were extracted in the past years. Results. An extremely high content of free fibers of magnesio-arfvedsonite and anthophyllite (up to 20% of the total weight of the samples) was discovered in the soil samples. The concentrations of asbestos fibers in the water averaged 67∙10 6 f/L and 79∙10 6 f/L, respectively. The average concentrations of respirable amphibole asbestos fibers were 0.06 f/ml and 0.05 f/ml, respectively. Limitations. The paper presents the results of a pilot study of air pollution by fibrous particles, based on which it is not possible to give a full description of the situation, taking into account all possible types of anthropogenic activity in the surveyed areas in different seasons of the year. Conclusion. The results obtained indicate an increased risk of air pollution and water environment contamination by free amphibole asbestos fibers due to their leaching and weathering from rocks, as a result of which disused flooded quarries should be considered as natural and anthropogenic sources of pollution. It is necessary to conduct regular monitoring of the environmental situation at these facilities, as well as to develop measures to prevent the exposure of amphibole asbestos fibers on the population.

Purpose. Development of CFD model and computer code for the analysis and forecasting of the process of formation of areas of chemical contamination in the workplace in the event of an emergency leak of a hazardous substance, allowing to take into account the influence of obstacles and the operation of the ventilation system on this process. The methods. The masstransfer equation is used to calculate the process of formation of areas of chemical contamination in the workplace over time. Navier-Stokes equations are used to solve the problem of aerodynamics – determination of the air flow velocity field in the room. For the numerical solution of modeling equations, finite-difference splitting schemes are used. On the basis of the developed numerical model, a computer code was created for conducting computational experiments Findings. An effective CFD model and computer code were created, which allow to quickly analyze the level of chemical pollution of working areas in possible emergency situations accompanied by the emission of dangerous substances. The results of the computational experiment are presented. The originality. An effective CFD model has been developed, which allows to calculate the dynamics of the formation of areas of chemical air pollution in the workplace in the event of an emergency leak of a chemically hazardous substance Practical implementation. On the basis of the proposed CFD model, a computer code has been developed that allows determining the dynamics of the formation of areas of contamination in the workplace during the emergency emission of hazardous substances. The model can be used to analyze the risk of toxic damage to personnel in the workplace

Abstract. The quality of the urban air pollution forecast critically depends on the mapping of emissions, the urban air pollution models, and the meteorological data. The quality of the meteorological data should be largely enhanced by using downscaled data from advanced numerical weather prediction models. These different topics, as well as the application of population exposure models, have traditionally been treated in distinct scientific communities whose expertise needs to be combined to enhance the possibilities of forecasting air pollution episodes in European cities. For this purpose the EU project "Integrated Systems for Forecasting Urban Meteorology, Air Pollution and Population Exposure'' (FUMAPEX) (http://fumapex.dmi.dk), involving 22 organizations from 10 European countries, was initiated. The main objectives of the project are the improvement of meteorological forecasts for urban areas, the connection of numerical weather prediction models to urban air pollution and population exposure models, the building of improved Urban Air Quality Information and Forecasting Systems, and their application in cities in various European climates. This paper overviews the project items and first two-years results, it is an introduction to the whole ACP issue.

Problem statement. The task of assessing the level of atmospheric air radioactive contamination in the case of an extreme situation on the territory of the Zaporizhzhya NPP, which leads to an instantaneous radioactive aerosol emission, is considered. An analysis of the dynamics for the zones’ formation of radioactive contamination in the wind direction towards Nikopol is conducted. For the prompt solution of this of this forecast issue, the creation of a multifactorial numerical model is required, which allows for prompt analysis of the size and intensity of radioactive contamination areas. The purpose of the article. Creation of a numerical model and computer code for the operational analysis of radioactive contamination areas formed during the instantaneous release of radioactive pollutants into the atmosphere. Methodology. The computer code is based on a numerical model, which is a differential analogue of the multifactor kinematic equation of mass transfer of a radioactive impurity in atmospheric air. The mass transfer equation takes into account the wind speed field, atmospheric turbulent diffusion, and the intensity of radioactive substances emission into the air. For the numerical integration of the mass transfer equation, the splitting method is used followed by the use of finite-difference schemes. Determination of the volumetric activity value at each splitting step is implemented by an explicit formula. Scientific novelty. An effective numerical model was developed and its software implementation was conducted for operational analysis of the formation of radioactive contamination areas in the atmosphere during an extreme situation at a nuclear power plant, accompanied by the emission of radioactive substances. The model takes into account a complex of factors that affect the process of radioactive impurities spread in the atmosphere. Practical value. A computer code was developed for calculating the dynamics of the formation of radioactive contamination zones in the atmosphere based on the developed numerical model. This makes it possible to analyze the consequences of emergency emissions on the territory of the NPP using the computational experiment method. Conclusions. A mathematical model was developed for the operational analysis of radioactive contamination level of the atmospheric air due to an extreme situation at the nuclear power plant, which leads to an intense instantaneous release of radioactive substances. The results of a computational experiment based on the developed numerical model are presented.

Purpose. It is known that acid rain has a negative impact on the environment. The formation of acid precipitation in the atmosphere occurs as a result of the chemical interaction of fuel combustion products and atmospheric humidity. Acid rain leads to crop losses, deterioration of soil fertility, and acidification of water in reservoirs. The development of scientifically based methods for studying the intensity of such acidic pollution of the air and soil surface in regions with significant emissions from thermal power plants remains an urgent problem. To solve this problem, it is important to use mathematical modeling, since it is impossible to determine the impact of emissions from thermal power plants on the formation of acid rain experimentally. Therefore, the main goal of the work is to create a mathematical model for predicting the formation of acid rain in the event of emissions from thermal power plants. Methodology. To predict the process of acid rain formation, a three-dimensional equation of convective diffusion transport of a pollutant is used, which takes into account the wind speed profile, atmospheric stratification, emission intensity of an impurity, and wind direction. This equation is also used to describe the process of water vapor transport in atmospheric air. To describe the process of acid formation in atmospheric air, a stoichiometric relationship is used. The numerical integration of the modeling equation of transfer was carried out using the splitting method. Findings. A multifactorial numerical model was built that allows determining the zones where acid rain is formed. The problem of predicting the formation of acid rain in the case of emissions from thermal power plants on the basis of the constructed numerical model is considered. Originality. A numerical model is proposed to predict the occurrence of acid rain due to emissions from thermal power plants. The model is multifactorial and takes into account convection, atmospheric diffusion, and an uneven wind profile. A computer code has been created that allows for rapid assessment of acid pollution zones. Practical value. The developed computer code for analyzing the zones of acidic pollution of the environment in the case of industrial emissions makes it possible to predict the intensity of such pollution in various meteorological conditions.

Problem statement. The task of forecasting zones of chemical pollution at an industrial site under unfavorable conditions − calm is under consideration. It is under such weather conditions that there is very intense air pollution in working areas at industrial sites. In order to quickly predict the level of chemical pollution, you need to have mathematical models that allow you to quickly make such a forecast. The purpose of the article. Development of a numerical multi-parameter model and computer code for predicting the size and intensity of air pollution areas at industrial sites formed in calm conditions. Methodology. The three-dimensional equation of convective-diffusion transport is used to calculate the spread of gaseous impurities. This equation takes into account the direction of the wind, atmospheric stratification, and the intensity of the impurity emission. For the numerical integration of the equation of convective-diffusion transport of impurities, the physical splitting of this equation is used. The first equation describes the convective transport of the impurity, the second equation – the transport of the impurity due to diffusion, the third equation describes the change in concentration of the impurity due to the action of the emission source. Next, finite-difference splitting schemes are constructed, which allow solving the splitting equation. Scientific novelty. An effective numerical model has been developed that allows you to predict the intensity and size of pollution areas that are formed during adverse weather conditions − calm. Practical significance. On the basis of the built model, a computer code was developed, which allows to quickly carry out serial calculations to determine areas of air pollution at industrial sites in calm conditions. Conclusions. A numerical model and computer code were built that allow forecasting the level of air pollution in calm conditions. The results of the computational experiment are presented.

Road traffic contributes to air and noise pollution in urban areas, negatively impacting human health. Understanding exposure to air and noise pollution from road traffic is vital for epidemiological studies on human health. This paper aims to (i) summarize current modeling and assessment methods for road traffic-related air and noise pollution, (ii) emphasize the potential of existing tools and techniques for assessing combined air and noise exposure, and (iii) highlight associated challenges, research gaps, and priorities. The paper examines literature concerning air and noise pollution caused by urban road traffic, including dispersion models, Geographic Information System (GIS) tools, spatial exposure assessment scales, study locations, sample sizes, traffic data types, and building geometry information. Approximately 29% of accredited research parameters for air pollution utilized NO2, underscoring the significance of this element in the research context. Additionally, Lden was employed in nearly 34% of publication parameters for noise pollution. Deterministic modeling is the most commonly used technique for assessing short-term and long-term exposure to air and noise pollution. Among the models, more diversity is in air pollution models than in noise pollution models. Correlations between air and noise pollution vary widely and are influenced by numerous factors, such as traffic characteristics, building attributes, and meteorological conditions. Buildings serve as barriers to pollution dispersion, with a more significant reduction effect observed for noise pollution than for air pollution. Meteorology plays a greater role in influencing air pollution levels than noise pollution, although it is also essential for noise pollution assessment. There is considerable potential for developing a standardized tool to assess combined exposure to traffic-related air and noise pollution, facilitating health-related studies. With its geographic capabilities, GIS is well-established and well-suited to address air and noise pollution assessments simultaneously.

Air pollution in urban environments has serious health and quality of life implications. A wide variety of anthropogenic air pollution sources increase the levels of background air pollutant concentrations, leading to the deterioration of the ambient air quality. Principal sources of urban air pollution are vehicular traffic, industrial activity and in general fossil fuel combustion, introducing a mixture of chemical components, particulate matter and biological material into the atmosphere. The deterioration of urban air quality is considered worldwide one of the primary environmental issues and current scientific evidence associate the exposure to ambient air pollution with a wide spectrum of health effects like cardiopulmonary diseases, respiratory related hospital admissions and premature mortality (Analitis et al. 2006; Ito et al., 2005; Samet et al., 2000). Direct measurements of sensitive population groups’ exposure to air pollution are scarce and therefore methods of accurate point and areal air quality estimations are prerequisite. This fact highlights the importance of generating accurate fields of air pollution for quantifying present and future health related risks. In the field of air pollution modeling, two different approaches have been adopted by the scientific community, differentiated by their applied fundamental principles. The first approach involves the numerical simulation of atmospheric dispersion based on the current understanding of physics and chemistry that govern the transport, dispersion and transformation of pollutants in the atmosphere. The modeling process typically requires a set of parameters such as meteorological fields, terrain information along with a comprehensive description of pollution sources. An alternative approach is based on statistical analysis of pollutant concentrations collected from air quality monitoring networks commonly deployed in urban areas. The reasoning of the statistical approach is that physical processes are likely to induce correlations in air quality data collected over space and time. Statistical models generate predictions by exploiting these spatio-temporal patterns, enabling the estimation of pollutant concentrations in unmonitored locations. The chapter’s main objective is to present and review the statistical spatial interpolation methodologies which are commonly employed in the field of air pollution modeling. An additional scope of the chapter is to compare and evaluate the accuracy of the interpolation methods for point estimations, using data from a real urban air quality monitoring network located at the greater area of metropolitan Athens in Greece.

Purpose. The work involves the development of numerical models to assess the effectiveness of the air curtain usage near the building in the event of chemical pollution. Methodology. To describe the process of dispersion of a chemically hazardous substance, emitted in emergency situations, the three-dimensional equation of impurity mass transfer in atmospheric air is used. To calculate the air velocity field near the building in the presence of an air curtain, a potential-flow model is used. The modelling equations take into account the velocity field of the wind flow, atmospheric diffusion, and the intensity of the emission of a chemically hazardous substance into the atmosphere. For the numerical integration of the mass transfer equations, implicit difference schemes are used. The complex of programs was created to solve the problem of calculating pollution zones near buildings in the presence of an air curtain. The application of the developed model allows you to quickly calculate this field of concentration of a chemically hazardous substance near the building in the presence of an air curtain. Findings. Numerical models for calculating the aerodynamics of the air flow and the concentration field near the building when using an air curtain were constructed. They can be used to carry out operational calculations of the size, intensity of pollution zones, which are formed in the atmosphere during the emission of chemicals at industrial sites. The developed numerical models can be implemented on computers of low and medium power, which allows it to be widely used for solving problems in developing an emergency response plan (ERP). For practical application of the developed numerical models, standard input information is required. Authors present the results of a laboratory experiment. Originality. Effective three-dimensional numerical models are proposed for estimating the level of atmospheric air pollution when emission of chemically hazardous substances into the atmosphere and using an air curtain near an industrial building. Models allow you to quickly calculate the effectiveness of the air curtain usage. Practical value. The developed numerical models allow solving applied problems arising in the development of ERP for chemically hazardous objects.