Аннотация
Background: Oil and gas production facilities represent complex industrial systems that exert a significant anthropogenic impact on ambient air quality. The simultaneous presence of organized and fugitive emission sources, high density of technological infrastructure, and adverse meteorological conditions considerably complicate the processes of air pollutant dispersion. Therefore, the application of mathematical modeling techniques is of particular importance for predicting ambient air pollution levels and assessing the environmental impacts of industrial facilities. Aim: The s tudy aimed to analyze the specific features of air pollutant dispersion modeling at oil and gas production facilities, identify the key factors affecting calculation accuracy, and assess the consistency between the results obtained from Maximum Permissible Emission (MPE) projects and verification calculations performed using the ERA-Air software package. Materials and methods: The study utilized data from Maximum Permissible Emission (MPE) projects, atmospheric dispersion calculations, and verification modeling results obtained using the ERA software package for production facilities of Enterprises No. 1 and No. 2. The principal research methods included comparative analysis, mathematical modeling, spatial interpretation, and expert assessment of pollutant dispersion maps. Results: The findings indicate that organized emission sources account for 60–70% of total emissions at oil and gas production facilities, while the contribution of fugitive sources may reach 20–30%. At the same time, low-level fugitive emission sources were found to have a substantial influence on the formation of ground-level pollutant concentrations. The highest concentrations were observed for nitrogen dioxide, hydrogen sulfide, soot, and benzo(a)pyrene. The modeling results demonstrated the decisive role of meteorological factors, particularly wind speed and atmospheric stability conditions, in determining pollutant dispersion patterns. The verification calculations confirmed a generally satisfactory agreement between the calculated and project-based concentration fields . Conclusion: Air pollutant dispersion modeling is an effective tool for assessing the impact of oil and gas production facilities on ambient air quality. A comprehensive consideration of organized and fugitive emission sources, technological infrastructure density, and meteorological conditions significantly improves the reliability of modeling results. The obtained findings can be applied to support the establishment of sanitary protection zones, develop environmental protection measures, and enhance industrial environmental monitoring.