MAXIMUM AIR POLLUTION SIMULATION USING GENETIC ALGORITHM (CROSBI ID 499337)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
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
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
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