A Neural Network Model for Short Term Prediction of Surface Ozone at a Coastal Region

I. Kartharinal Punithavathya , S. Vijayalakshmib and S.Johnson Jeyakumarc,*

A Neural Network Model for Short Term Prediction of Surface Ozone at a Coastal Region

Authors :

I. Kartharinal Punithavathy^a , S. Vijayalakshmi^b and S.Johnson Jeyakumar^c,*

Author Address :

^a,b,cPG and Research Department of Physics, T.B.M.L College, Porayar, 609 307, India.

*Corresponding author.

Abstract :

Surface Ozone (O3) level is the potential problem of developing countries. Its role in the atmospheric environment through radiative and chemical processes is very significant. An attempt has been made to predict short term surface ozone levels using the neural network technique. The model can predict the mean surface ozone levels based on the parameters like Nitrogen-di-oxide, temperature and wind speed. The model exhibits a good correlation between the actual and predicted data points.

Keywords :

Surface Ozone Concentration, Neural Network, Short Term Prediction.

DOI :

Article Info :

Received : August 12, 2015; Accepted : September 30, 2015.