Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi !

Air pollution simulation using genetic algorithm (CROSBI ID 484406)

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

Čarija, Zoran ; Mrša, Zoran Air pollution simulation using genetic algorithm // Proceedings of the 12th International DAAAM Symposium, / Katalinić, Branko (ur.). Beč: DAAAM International Vienna, 2001. str. 59-60-x

Podaci o odgovornosti

Čarija, Zoran ; Mrša, Zoran

engleski

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 plant SO2 dispersion computer simulation

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o prilogu

59-60-x.

2001.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of the 12th International DAAAM Symposium,

Katalinić, Branko

Beč: DAAAM International Vienna

Podaci o skupu

12th International DAAAM Symposium

predavanje

01.01.2001-01.01.2001

Beč, Austrija

Povezanost rada

Strojarstvo