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Role of Nitrogen Oxides, Black Carbon, and Meteorological Parameters on the Variation of Surface Ozone Levels at a Tropical Urban Site – Hyderabad, India
Author(s) -
Yerramsetti Venkata Swamy,
Gauravarapu Navlur Nikhil,
Rapolu Venkanna,
Dhulipala N. S. K. Chitanya,
Sinha Puna Ram,
Srinavasan Shailaja,
Anupoju Gangagni Rao
Publication year - 2013
Publication title -
clean – soil, air, water
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.444
H-Index - 66
eISSN - 1863-0669
pISSN - 1863-0650
DOI - 10.1002/clen.201100635
Subject(s) - ozone , atmospheric sciences , air mass (solar energy) , environmental science , trace gas , diurnal temperature variation , atmosphere (unit) , seasonality , atmospheric chemistry , air pollution , nitrogen , ground level ozone , climatology , environmental chemistry , chemistry , boundary layer , meteorology , geography , geology , statistics , physics , mathematics , organic chemistry , thermodynamics
In this study, temporal variations of surface ozone (O 3 ) were investigated at tropical urban site of Hyderabad during the year 2009. O 3 , oxides of nitrogen (NO x = NO + NO 2 ), black carbon (BC), and meteorological parameters were continuously monitored at the established air monitoring station. Results revealed the production of surface O 3 from NO 2 through photochemical oxidation. Averaged datasets illustrated the variations in ground‐level concentrations of these air pollutants along different time scales. Maximum mean concentrations of O 3 (56.75 ppbv) and NO x (8.9 ppbv) were observed in summer. Diurnal‐seasonal changes in surface O 3 and NO x concentrations were explicated with complex atmospheric chemistry, boundary layer dynamics, and local meteorology. In addition, nocturnal chemistry of NO x played a decisive role in the formation of O 3 during day time. Mean BC mass concentration in winter (10.92 µg m −3 ) was high during morning hours. Heterogeneous chemistry of BC on O 3 destruction and NO x formation was elucidated. Apart from these local observations, long‐range transport of trace gases and BC aerosols were evidenced from air mass back trajectories. Further, statistical modeling was performed to predict O 3 using multi‐linear regression method, which resulted in 91% of the overall variance.