Ram Chhavi Sharma^1,, Niharika Sharma²

Surface Ozone concentrations are valuable indicators of possible health and environmental impacts. Increasing concentration of Tropospheric ozone (O₃) is a serious air pollution problem faced commonly by the urban people. In the present study ozone (O₃), Oxides of Nitrogen (NO_x) Carbon monoxide (CO) and Sulpher dioxide (SO₂) data were collected for a period of one year (January 01, 2015 to December 31, 2015) at three ambient air quality monitoring stations (Gurgaon now Gurugram, Rohtak and Panchkula) in Haryana state in Northern India. The O₃, NO_x CO, and SO₂ data were collected by Haryana State Pollution Control Board. The concentration of O₃ is correlated with the concentration of NO_x, CO, and SO₂ in different meteorological seasons. The regression correlation analysis has been performed between NO_x, CO, SO₂ and O₃ to investigate the relationship between them. It was found that the variation in concentration of NO_x, CO and SO₂ influenced the changes in the concentration of O₃ in different seasons of the year. The investigation data showed that NO_x, CO and SO₂ had the important influence on O₃ concentration variations in monsoon session (r² = -0.256, -0.322, -0.137 for Gurgaon, r²= 0.997, -0.829 and 0.843 for Rohtak and r²= – 0.854, -0.829 and 0.262 for Panchkula). The influence of SO₂ on O₃ concentration has been observed to be different from NO_x and CO. O₃ and NO_x were observed to be inversely related in most of the seasons (r2= 0.124, 0.389, -0.256 and -0.694 in Gurgaon, r² = -0.797, -0.819, 0.997 and -0.797 in Rohtak & r²=0.971,-0.074, -0.854 & 0.784 in Panchkula for spring, pre-monsoon, monsoon and post monsoon season respectively). The regression equations have been obtained which correlates O₃ with NO_x, CO and SO₂.

ozone, oxides of nitrogen, carbon monoxide, sulpher dioxide, urban ambient air quality, correlation, regression analysis