PREDICTION OF SURFACE OZONE ON A SHORT TERM USING NEURAL NETWORK TECHNIQUE AT THIRUCHIRAPPALIJOEL KANAGARAJ V., JOHNSON JEYAKUMAR S. AND VIJAYALAKSHMI S.
Thiruchirappalli being a major city in the state of Tamilnadu, plays a very vital role in constituting the economic, health and climatic factors of the state. It thus becomes quite essential to observe and study the characteristics of surface ozone and its relation with its precursor at the study location. Ozone measurements have been carried out for every hour IST. The observation period was from October 2014 to September 2016. In this study, an attempt has been made to utilize neural network schemes in order to predict the surface ozone on a short term.