International Journal of
Advanced Multidisciplinary Application

Volume 3, Issue 6

• Author(s)Vaibhavkumar Janakbhai Jadav, Darshan Salunke
• AffiliationDepartment of Environmental Science & Technology, UPL University of Sustainable Technology
• Page No.143-152
• Volume, Issue & YearVolume 3, Issue 6, June 2026
• Published On2026/06/29
• JournalInternational Journal of Advanced Multidisciplinary Application (IJAMA)
• ISSN No.3048-9350

Abstract

Environmental Impact Assessment (EIA) is an essential tool for evaluating the potential effects of industrial activities on ambient air quality and ensuring compliance with environmental regulations. Atmospheric dispersion modelling has become an integral component of air quality impact assessment, enabling quantitative prediction of pollutant concentrations under prevailing meteorological conditions. This study presents an environmental impact assessment of PM₁₀ emissions from multiple industrial emission sources using the United States Environmental Protection Agency (US EPA) AERMOD dispersion model. To maintain industrial confidentiality, the identity and location of the study facility have been withheld.The assessment considered three major emission categories, namely area sources, point sources, and transport-related fugitive emissions. Site-specific meteorological data were processed using AERMET, while terrain information was incorporated through AERMAP to simulate pollutant dispersion over a 10 km × 10 km receptor domain. Individual and cumulative ground-level PM₁₀ concentrations were predicted under ambient meteorological conditions and evaluated against applicable ambient air quality standards.The modelling results indicated that ground-level fugitive emissions from area and transport sources contributed significantly more to ambient PM₁₀ concentrations than elevated stack emissions. The cumulative predicted concentration remained within the prescribed regulatory limits, indicating no significant adverse air quality impacts under the assessed operating conditions. The study demonstrates that AERMOD provides a reliable framework for environmental impact assessment of industrial air emissions and supports informed decision-making for pollution control, environmental management, and regulatory compliance.

Keywords: Environmental Impact Assessment; Air Quality Impact Assessment; AERMOD; PM₁₀ Dispersion; Industrial Air Emissions; Atmospheric Dispersion Modelling; Fugitive Dust; Ambient Meteorology; Environmental Compliance.

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