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

Authors

  • R. Arunkumar  PG & Research Department of Computer Science, Dr. Ambedkar Government Arts College, Chennai, India
  • Dr. K. Shyamala   PG & Research Department of Computer Science, Dr. Ambedkar Government Arts College, Chennai, India

Keywords:

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

Abstract

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.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2015-08-31

Issue

Volume 1, Issue 4, July-August-2015

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
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.