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MAXIMUM AIR POLLUTION SIMULATION USING GENETIC ALGORITHM (CROSBI ID 499337)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Mrša, Zoran ; Čarija, Zoran MAXIMUM AIR POLLUTION SIMULATION USING GENETIC ALGORITHM // Proceedings of 4th International Congress of Croatian Society of Mechanics / Matejiček, Franjo (ur.). Zagreb: CROATIA SOCIETY OF MECHANICS, 2003. str. 349-354-x

Podaci o odgovornosti

Mrša, Zoran ; Čarija, Zoran

engleski

MAXIMUM AIR POLLUTION SIMULATION USING GENETIC ALGORITHM

The SO2 environmental pollution in the Rijeka refinery plant area and in nearby city of Rijeka is above regulatory recommended values. The computer simulation of maximum pollution in nearby 12 by 13 km region was performed in order to develop different scenarios to diminish the pollution. Gaussian plume model was used to simulate dispersion and diffusion of pollutant in realistic 3D elevated terrain. Genetic algorithm was employed to find maximum pollution in various meteorological conditions, for the measured source emissions from 17 stacks with variable heights, dispersed throughout the whole plant.

air pollution modeling; Gaussian plume model; genetic algorithm; refinery

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Podaci o prilogu

349-354-x.

2003.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of 4th International Congress of Croatian Society of Mechanics

Matejiček, Franjo

Zagreb: CROATIA SOCIETY OF MECHANICS

Podaci o skupu

4th International Congress of Croatian Society of Mechanics

predavanje

18.10.2003-20.10.2003

Bizovac, Hrvatska

Povezanost rada

Strojarstvo