Long-term variations of air quality influenced by surface ozone in a coastal site in India: Association with synoptic meteorological conditions with model simulations
Atmospheric ozone (O ) in the surface level plays a central role in determining air quality and atmospheric oxidizing capacity. In this paper, we review our comprehensive results of simultaneous measurements of surface ozone (O ) and its precursor gas (NOx) and weather parameters that were carried out continuously for a span of six years (January 2013-December 2018) at a typical rural coastal site, Kannur (11.9° N, 75.4° E) in South India. Surface O concentration reached its maximum during daytime hours and minimum during the night time. The influence of solar radiation and water content on variations of O are discussed. A Multi-Layer Perceptron (MLP) artificial neural network technique has been used to understand the effect of atmospheric temperature on the increase in O over the past six years. This has been found that temperature has been a major contributor to the increase in O levels over the years. The National Centre for Atmospheric Research-Master Mechanism (NCAR-MM) Photochemical box model study was conducted to validate the variations of O in different seasons and years, and the results were shown to be in good agreement with observed trends. 3 3 3 3 3 3 3
Resmi, C. T.; Nishanth, T.; Satheesh Kumar, M. K.; and Balachandramohan, M., "Long-term variations of air quality influenced by surface ozone in a coastal site in India: Association with synoptic meteorological conditions with model simulations" (2020). Open Access Archive. 303.