Pregled bibliografske jedinice broj: 160502
Simulacija maksimalnog onečišćenja zraka uporabom genetskog algoritma
Simulacija maksimalnog onečišćenja zraka uporabom genetskog algoritma // Proceedings of 4th International Congress of Croatian Society of Mechanics / Matejiček, Franjo (ur.).
Zagreb: CROATIA SOCIETY OF MECHANICS, 2003. str. 349-354 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 160502 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Simulacija maksimalnog onečišćenja zraka uporabom genetskog algoritma
(MAXIMUM AIR POLLUTION SIMULATION USING GENETIC ALGORITHM)
Autori
Mrša, Zoran ; Čarija, Zoran
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 4th International Congress of Croatian Society of Mechanics
/ Matejiček, Franjo - Zagreb : CROATIA SOCIETY OF MECHANICS, 2003, 349-354
Skup
4th International Congress of Croatian Society of Mechanics
Mjesto i datum
Bizovac, Hrvatska, 18.09.2003. - 20.09.2003
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
modeliranje onečišćenja zraka; Gaussov model perjanice dima; genetski algoritam; rafinerija nafte
(air pollution modeling; Gaussian plume model; genetic algorithm; refinery)
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
