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Analysis of Air Pollutant Levels using Artificial Neural Network in Chennai City

Authors(2):

R. Arunkumar, Dr. K. Shyamala
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Air pollution is one of the important ecological and human health issues. Economic expansion, urbanization, transportation, rapid population growth, industrial wastages are powerful forces of air pollution in large cities. Chennai signifies a diverse pollution challenge in atmosphere. Its annual average pollution levels are lower than other mega cities but the pollution level is still changing between moderate to critical. In this paper Thiy agaraya nagar (T. Nagar), Anna Nagar, Adyar and Kilpauk have been selected for air pollution analysis in Chennai city and it explores respirable suspended particular matter (RSPM), sulphur dioxide (SO2), and nitrogen dioxide (NO2) pollutants level and compare these air pollutants emission levels in Chennai city. As per the national ambient air quality monitoring standards, the RSPM, SO2 and NO2 levels are 60, 50, and 40 respectively. Outdoor air pollution is the fifth leading cause of deaths in India. The ambient air pollution is a health threat. It is more essential in developing area in Chennai within the environment of pollution level and population density. Refining air quality has significant, determinate and important public health benefits.

R. Arunkumar, Dr. K. Shyamala

Air Pollution, Artificial Neural Network, Chennai City, Pollutant, RSPM, SO2, NO2

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Publication Details

Published in : Volume 1 | Issue 4 | July-August - 2015
Date of Publication Print ISSN Online ISSN
2015-08-31 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
461-467 IJSRSET151492   Technoscience Academy

Cite This Article

R. Arunkumar, Dr. K. Shyamala , "Analysis of Air Pollutant Levels using Artificial Neural Network in Chennai City", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 4, pp.461-467, July-August-2015.
URL : http://ijsrset.com/IJSRSET151492.php

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