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
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