Air pollution modelling for accidents involving hazardous substances is a critical aspect of emergency response and environmental protection. Such modelling aims to predict the dispersion and impact of toxic substances released into the atmosphere during industrial accidents, transport incidents, chemical plant emergencies, or terrorist attacks.
The study proposes a systematic approach to environmental monitoring, data collection using mobile sensors, development of emergency scenarios, and mathematical modelling of pollutant dispersion under varying meteorological conditions.
The UNI-DEM model is employed to simulate atmospheric pollutant dispersion and transport, together with models describing the release and propagation of hazardous gases and liquid vapours.
The results provide a basis for assessing potential risks to human health and the environment by comparing predicted pollutant concentrations with regulatory standards and health-based guidelines.
The proposed approach supports emergency response planning, public health protection, and the development of effective environmental risk management strategies.
How to cite?
IEEE style: T. Ostromsky, K. Alexiev, and S. Parvanov, “Air pollution modelling of accidents involving hazardous substances,” Journal of Physics: Conference Series, vol. 2910, no. 1, Art. no. 012002, 2024, doi: 10.1088/1742-6596/2910/1/012002.
Chicago style: Ostromsky, Tzvetan, Kiril Alexiev, and Stefan Parvanov. 2024. “Air Pollution Modelling of Accidents Involving Hazardous Substances.” Journal of Physics: Conference Series 2910 (1): 012002. https://doi.org/10.1088/1742-6596/2910/1/012002.
APA style: Ostromsky, T., Alexiev, K., & Parvanov, S. (2024). Air pollution modelling of accidents involving hazardous substances. Journal of Physics: Conference Series, 2910(1), 012002. https://doi.org/10.1088/1742-6596/2910/1/012002