Title of article :
DEVELOPING A METHOD FOR POLLUTANT EMISSION RATE CAUSED BY FUEL CONSUMPTION FROM INDUSTRIAL TOWNS
Author/Authors :
Alizadeh, Zahra Department of Environmental Health Engineering - School of Public Health - Tabriz University of Medical Sciences, Tabriz , Hassanvand, Mohammad Sadegh Department of Environmental Health Engineering - School of Public Health - Tehran University of Medical Sciences, Tehran , Gholampour, Akbar Department of Environmental Health Engineering - School of Public Health - Tabriz University of Medical Sciences, Tabriz
Pages :
12
From page :
83
To page :
94
Abstract :
Introduction: Predicting the concentration and emission rates of air pollutants before constructing industrial towns via modeling can be an appropriate method for determining the industrial towns’ construction sites. For this purpose, it is necessary to compile proper information about fuel consumption rate by industrial units in various groups. Materials and methods: In order to obtain the average fuel consumption in different groups, some questionnaires were prepared, then, filled in 5 industrial towns. Subsequently, using the AP - 42 emission factors, the production rate of various pollutants produced by these industrial groups was estimated. Later, the collected data were used to investigate the effect of constructing phase-II of Baharan Industrial Town, Hamadan, on the area’s weather in an area of 15*15 km2 using AERMOD. Results: Based on the results derived from the questionnaires, the highest natural gas consumption rate was related to the food and textile zones with the estimated average consumption rates of 0.023532 (m3 / ha.s) and 0.021785 (m3 / ha.s), respectively. However, the lowest rate was related to the non - metallic minerals zone with the estimated average consumption rate of 0.00097 (m3/ ha.s). Conclusions: Zoning the modeling results indicated that constructing phase-II of Baharan Industrial Town, Hamadan, would not increase the average concentration of air pollutants in the area to above the standard level.
Keywords :
AERMOD emission modeling , emission rate prediction , fuel consumption , GIS , industrial Source
Journal title :
Astroparticle Physics
Serial Year :
2018
Record number :
2481507
Link To Document :
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