Journal of Civil and Environmental Engineering

Anurag Kandya

Publications

• Research Article
  Forecasting the Tropospheric Ozone using Artificial Neural Network Modelling Approach: A Case Study of Megacity Madras, India
  Author(s): Anurag Kandya, Shiva Nagendra SM and Vivek Kumar TiwariAnurag Kandya, Shiva Nagendra SM and Vivek Kumar Tiwari
  
  Ozone, which is a secondary pollutant in the troposphere, is very injurious to human health causing irritation of respiratory system, reducing lung capacity, etc. Adversely affecting the plant growth and deteriorating the materials. Thus it is of prime importance to predict the ozone concentration so that effective mitigation strategies can be adopted. As the formation of the tropospheric ozone is dependent on various meteorological parameters and the concentration of various other air pollutants, it is necessary to consider this dependence aspect in the modelling approach. In this background, the present paper puts forward the study of short-term prediction of tropospheric ozone concentration using Artificial Neural Network (ANN) modelling approach for a busy traffic junction of Madras city, one of the four megacities of India. 8-hourly averaged values of 11 air pollutants concentrat.. Read More»
  DOI: 10.4172/2165-784X.S1-006

  Abstract PDF