%0 Journal Article %A Mousavifard, Seyedeh Azar %A Jozi, Seyed Ali %A Zaeimdar, Mojgan %A Rezazadeh Azari, Mansour %T Modeling of Diffusion Propagation due to Ignition of Karaj Oil Depot using Computational Fluid Dynamics Method %J Alborz University Medical Journal %V 11 %N 3 %U http://aums.abzums.ac.ir/article-1-1550-en.html %R 10.29252/aums.11.3.12 %D 2022 %K Oil depot, Fluent software, Fire pollutio, %X Background and Aim: This study investigates the distribution of pollutants from the oil storage ignition scenario using Ensys Fluint software has studied and for the first time in the country the dangerous and unexpected scenarios of explosion and ignition in oil sites using advanced Fluent and monitoring software and aims to preserve the life and financial assets of the areas around the oil depot. Materials and Methods: Ensys Fluent 15 software was used to determine the amount of pollutants from burning tanks. Warehouses predict. The output of this software entered the machining environment and finally the contamination distribution map was obtained in an area of ​​four kilometers to an altitude of 200 meters. Results: In this study, the effect of ignition and explosion of oil depot on the environment and residential environment around the depot was numerically analyzed. According to the summary of the results in critical conditions where the wind speed is high, the wind direction will have a significant effect on the affected areas, so that the temperature rises to about 60 degrees Celsius and above and the concentrations of CO, CO2, NOX, SO2 are all at intervals. About 800 meters to one kilometer is expected in Anbarghleh area of ​​Karaj, Banafsheh town, Rozkan Nou, Karaj railway area, Sarhadabad and Vahdat town due to the wind direction being 30 to 40 percent higher than the standard. Conclusion: The results of this study showed that if a fire occurs in the tanks. Various areas, including residential and industrial, are much higher than the standard in the spread of pollution. Due to the severity of the pollution produced and the extent of the areas affected by respiratory diseases, human and financial losses are predictable. %> http://aums.abzums.ac.ir/article-1-1550-en.pdf %P 383-396 %& 383 %! %9 Research %L A-10-348-2 %+ Professor, Department of Environment, Islamic Azad University, North Tehran Branch, Iran, Tehran %G eng %@ 2322-3839 %[ 2022