• Venezija Ilijazi MUP RS
  • Slobodan Miladinović
Keywords: Key words: accident simulation, modeling, risk assessment, ALOHA


Abstract: The development of atmospheric dispersion models is an important step in the process of predicting, assessing and managing the risk of potential disasters. They are of particular importance in defining and analyzing risk zones in order to prevent endangering a large number of people, property, the environment and natural resources. Today, making a model is almost unthinkable without the use of appropriate software solutions. Numerous software tools for atmospheric dispersion modeling have been developed, the primary role of which is risk assessment, which includes the analysis of accident and emission pollution models used to simulate the transport and diffusion of various pollutants. As many industrial and development projects potentially cause unwanted consequences in the environment, by applying such tools the harmful consequences could be minimized. The development of sensor and computer technology has enabled the development of complex algorithms for the development of models that can be executed in real time, which enables their active role in managing the process of responding to an incident that has occurred.

This paper presents the possibilities of software tools for modeling through the example of the impact of chemicals on the environment in the case of emissions of hazardous gases due to an accident. The characteristics of the mathematical model and the simulation scenario made in the software tool "Aloha" are presented.


Key words: accident simulation, modeling, risk assessment, ALOHA


[1] Filipović D. (2000), Geoprostorno modelovanje rizika u životnoj sredini, doktorska disertacija, Geografski fakultet, Beograd.
[2] Hanna, S.R., Briggs, G.A., Hosker, R.P., (1982), Handbook on Atmospheric Diffusion. DOE/TIC 11223, Department of Energy,)
[3] Harvey D. (2000), Modern Analytical Chemistry, McGraw Hill.
[4] Joksović, D. (2003), Organizacija zbrinjavanja u hemijskim akcidentima i katastrofama, Beograd.
[5] Kantar S. (2003), Akcidenti pri transportu opasnih materija - primeri iz prakse i pouke, Beograd.
[6] Kovačević J., Stojanović R., Karadaglić D., Ašanin B, Kovačević Ž, Bundalo Z., Softić F., (2014), FPGA low-power implementation of QRS detectors, 3rd Mediterranean Conference on Embedded Computing (MECO), pp: 98- 101.
[7] Kovačević Ž, Stojanović R, Nikolić G. (2003), Modelling and Simulation of Accidental Air, Beograd.
[8] Lazaridis M. (2011), First principles of Meteorology and Air Pollutant, Springer, pp.201-232, New York.
[9] Miljuš, M., Vidović M. (2003), Rizik u transportu opasnih materija, Beograd.
[10] Nikezić, D.P. (2016), Matematičko modelovanje rasprostiranja zagađujućih materija u vazduhu u okolini nuklearnih i industrijskih objekata, Doktorska disertacija, Tehnološko-metalurški fakultet Univerziteta u Beogradu, Beograd.
[11] Pollutant Dispersion in Urban Areas – an Approach Suitable for Developing Countries, Works in Progress in Embedded Computing, Vol 2, No 1, June 2016, ISSN 2337-0343.
[12] Stockie, J. M. (2011), The Mathematics of Atmospheric Dispersion Modeling. SIAM Review, 53(2), pp. 349–372.
[13] Степаненко С.Н., Волошин В.Г., Типцов С.В. (2009), Новая формула оценки уровня загрязнения атмосфры промышленными выбросами, Украинский гидрометеорологический журнал, Но 4, ст. 227-237.
Informatics and Applied Mathematics in Forensic, Cybercrime and Security Science