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

Authors(2) :-R. Arunkumar, Dr. K. Shyamala

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.

Authors and Affiliations

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

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

  1. R. K. Shrivastava, Saxena Neeta, GautumGeeta, "Air Pollution Due to Road Transportation in India: A Review on Assessment and Reduction Strategies", Journal of Environmental Research and Development, Vol.8 No.1, July-September, 2013.
  2. Dr.SharadGokahle, "Air Pollution Sampling and Analysis", Indian Institute of Technology, Guwathi, May 2009.
  3. N. Sharma, K.K Chaudhry, C.V. ChalapatiRao, "Vechicular Pollution Modelling using artificial neural network technique: A review", Journal of Scientific & Industrial Research, Vol. 64, September 2005.
  4. Anita Dubey, "Air Pollution Modeling for Human Exposure Predictions: A Review", Research Journal of Recent Sciences, Vol. 3 (ISC-2013), 24-27 (2014).
  5. Tharit, Issarayangyum, Stephen Greaves, "Predicting Fine Particulate Concentrations near a Busy Intersection in Sydney using Artificial Neural Networks", July, 2007.
  6. MadhaviAnuskhaElangasinghe, NareshSinghal, Kim N. Driks, Jennifer A. Salmond, "Development of an ANN-based air pollution forecasting system with explicit knowledge through sensitivity analysis", Atmospheric Pollution Research 5, 2014.
  7. www.academia.edu/1113729/Prediction_of_exc eedences_concentration_of_PM10_in_Industrialized_Area_in_Malaysia_A_Case_Study_in_Shah_Alam.
  8. www.thehindu.com/news/cities/chennai/
  9. http://timesofindia.indiatimes.com/city/chennai/
  10. http://www.cseindia.org/category/thesaurus/chennai.
  11. www.tnpcb.gov.in
  12. Esteban Garcia-cuesta, Susana Briz, Isabel Fernandaz-Gomez and AntonioJ.de Castro, "Applications of Neural Network to Atmospheric Pollutants Remote Sensing", 2007.
  13. Anon, "Evaluation and Applied Research Department", Govt. of Tamil Nadu, EconomicAppraisal 2003-04 & 2004-05.

Publication Details

Published in : Volume 1 | Issue 4 | July-August 2015
Date of Publication : 2015-08-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 461-467
Manuscript Number : IJSRSET151492
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

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.
Journal URL : http://ijsrset.com/IJSRSET151492

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