Author(s): A Jaswanth Gowda
Published in: International Journal of Engineering Research & Technology
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Volume/Issue: Volume. 5 - Issue. 04 , April - 2016
Nowadays, artificial intelligence methods are using for the solution of environmental problems. The study is to determine the pollution level at iron ore mine by developing air quality indices using fuzzy technique. The AQI is based on the concentration of 4 atmospheric pollutants, namely Sulfur-Dioxide (SO2), Nitrogen Dioxide (NO2), Suspended Particulates (PM10) and Respirable Suspended Particulate Matter (PM2.5) was measured at the mine region in a season wise. The concentration of pollutants are expressed in terms of micrograms per cubic meter (μg/m3). The activities of Subbarayanahalli iron ore mine contribute to air pollution in and around the mine areas. The monitoring was conducted at 8 locations considering various activities in the core zone and haul roads of villages in the buffer zone. The results showed that SPM varied from 23 μg/m3 to 113 μg/m3 and RSPM varied from 13 μg/m3 to 56 μg/m3. In summer the values are very high and low in the rainy season due to the variations in rainfall, humidity, temperature, wind velocity and direction. The concentrations of SO2 and NOX found within the limits of National Ambient Air Quality Standards in all the locations. The average concentrations of Core Zone and Buffer Zone was analyzed in fuzzy logic to develop air quality index to get better understanding of the pollution level. The results shows that in core zone FAQI is 217 during summer, 187 and 191 in winter and 82.4 during rainy season. In buffer zone FAQI in summer and winter is varied from 144- 174 and during rainy season it is varied from 42.4-59.6.
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