Monitoring Of Air Polution By Using Fuzzy Logic
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 7
Abstract
The Air Quality Index is a simple and generalized way to describe the air quality in China, Hong Kong, Malaysia and now 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)”, “Severe (401-500)”. State Environment Protection Agency (SEPA ) is responsible for measuring the level of air pollution in China . In China the AQI is based on the level of 5 atmospheric pollutants, namely sulferdioxide(SO2), nitrogen dioxide (NO2), suspended particulates (PM10), carbon monoxide (CO), and ozone (O3) measured at the monitoring stations throughout each city (USEPA et al. 1998). An individual score is assigned to the level of each pollutant and the final AQI is the Highest of those scores. Air quality measurement are mmonly reported in terms of micrograms per cubic meter (μgm/m3) or parts per million (ppm) (http://en.wikipedia.org). 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.
Authors and Affiliations
Dr. Gopal Upadhyaya , Mr. Nilesh Dashore
Keywords
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