Feasibility Analysis of Air Quality Indices using Fuzzy Logic
International Journal of Engineering Research and
The Air Quality Index is a simple and generalized way to describe the air quality in in India. Indian Air Quality Index (IND-AQI) is mainly a health related index with the descriptor words: Good (0-100), Moderate (101-200), Poor (201-300), Very Poor (301-400), and Severe (401-500). Central Pollution Control Board (CPCB) is responsible for measuring the level of air pollution in India. An individual score is assigned to the level of each pollutant and the final AQI is the Highest of those
... est of those scores. The present investigation was carried out to significant of air pollutant concentrations at Residential, Industrial &Sensitive Areas Bangalore. Sulphur dioxide (SO2), oxides of nitrogen (NO2) and R.S.P.M were collected over six sites in Bangalore. First station location at Victoria Hospital, second station location at Graphite Industrial Area, and third station location at Amco Apartments, fourth station location at Peenya Industrial Area, fifth station location at Yeshwantapur Residential Area and sixth station location at K.H.B Industrial Area. All the sampling stations selected are located in Residential, Industrial and Sensitive areas. The Conventional method used Linear Interpolation for calculating AQI. We applied a real time Fuzzy Logic System with Simulink to calculate AQI. This method gives satisfactory result and it is efficient to work under continuous working mode.