Title of article :
Modeling of CO dispersion from the stack of an Iranian cement Plant
Author/Authors :
Goudarzi, Gholamreza Environmental Technologies Research Center (ETRC) - Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran , Rashidi, Rajab Department of Occupational Health Engineering - School of Health - Lorestan University of Medical Sciences, Khorramabad, Iran , Mohammadi, Mohammad Javad Abadan School of Medical Sciences, Abadan, Iran , Sadeghi, Shahram Environmental Health Research Center - Kurdistan University of Medical Sciences, Sanandaj, Iran , Amidnia, Mehdi Health Center of Andimeshk - Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran , Omidi Khaniabadi, Yusef Health Care System of Karoon - Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
Pages :
7
From page :
199
To page :
205
Abstract :
Abstract The objective of this study was to simulate carbon monoxide (CO) dispersion exited from the stacks of a cement industry in Doroud, Iran by Gaussian Model (GM). Four sampling period was conducted for the measurement of CO from the factory's three-stack flow during a period of one year. The input parameters were the rate of CO emission, meteorological data, factors related to the stack, and factors related to the receptor. Parameters were incorporated in the model and the dispersion of CO during a period of four season was modeled. The southwesterly winds have dominated for the past five years. The highest and the lowest CO levels were estimated at spring and fall seasons with maximum amount of 842.06 and 88.31 μg/m3 within distances of 526 and 960 m away from the cement plant, respectively. Although the maximum predicted CO concentration at four seasons were lower than the NAAQS standard, the simulation results can be used as a base for reduction of CO emissions rate, because the long-term exposure to emissions of cement plant imposes potentially significant health and environmental impacts.
Keywords :
Gaussian Model , Modeling , Carbon monoxide , Cement Plant
Journal title :
Astroparticle Physics
Serial Year :
2016
Record number :
2427089
Link To Document :
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