Environmental monitoring of surface ozone and other trace gases over different time scales: chemistry, transport and modeling

  • R. Venkanna
  • G. N. Nikhil
  • T. Siva Rao
  • P. R. Sinha
  • Y. V. Swamy
Original Paper


Increasing concentration of tropospheric ozone (O3) is a serious air pollution problem faced commonly by the urban people. The present study emphasizes on variations of air pollutant concentrations viz., O3, nitrogen oxides (NOx), carbon monoxide (CO), sulfur dioxide (SO2) and black carbon (BC) at a tropical urban site located in the Deccan plateau region with semi-arid climate. The air monitoring site revealed typical diurnal/seasonal trends attributing to the complex chemistry of surface O3 formation from its precursors. Role of SO2 in the formation of free radical (\( {\text{HO}}_{2}^{ \cdot } \)) and its impact on O3 concentration is distinguished part of the study. The results showed the highest mean O3 in summer (57.5 ± 15.2 ppbv) followed by winter and monsoon. Observations of BC aerosols showed the highest mean value during winter (8.2 ± 2 μg m−3) and the lowest in monsoon (4.2 ± 1 μg m−3). Besides local influences, long-range transport of air masses were also studied by simulating back trajectories at different elevations during the study period. Furthermore, statistical analysis and modeling was performed with both linear (regression) and nonlinear (neural network) methods.


Air pollutants Back trajectory Modeling Photochemistry Statistics 



The authors wish to thank the Director, Indian Institute of Chemical Technology, for encouragement and support. Fruitful discussions and constant support extended by Prof. Shyam Lal and Dr. C.B.S Dutt and Dr. P.P.N Rao Programme Director during the course of this project is highly acknowledged. We also acknowledge AT/CTM under ISRO-GBP trace gas programme for financial support and Tata Institute of Fundamental Research (National Balloon Facility) at Hyderabad for providing laboratory space. The authors would like to extend their gratitude to the NOAA-ARL (HYSPLIT), for providing the data for trajectory simulations.

Conflict of interest

The authors have declared no conflict of interest.


  1. Abdul-Wahab SA, Bouhamra WS (2004) Diurnal variations of air pollution from motor vehicles in Khaldiya residential area Kuwait. J Environ Stud 61(1):73–98CrossRefGoogle Scholar
  2. Abdul-Wahab SA, Bouhamra WS, Ettouney H, Sowerby B, Crittenden BD (1996) A statistical model for predicting ozone levels in the Shuaiba industrial area in Kuwait. Environ Sci Pollut Res 3(4):195–200CrossRefGoogle Scholar
  3. Abdul-Wahab SA, Bakheitb CS, Al-Alawia SM (2005) Principal component and multiple regression analysis in modelling of ground-level ozone and factors affecting its concentrations. Environ Model Softw 20(10):1263–1271CrossRefGoogle Scholar
  4. Akimoto H (2003) Global air quality and pollution. Science 302(5651):1716–1719CrossRefGoogle Scholar
  5. Arteta J, Cautenet S (2007) Study of ozone distribution over the south-eastern France (ESCOMPTE campaign): discrimination between ozone tendencies due to chemistry and to transport. J Atmos Chem 58(2):111–130CrossRefGoogle Scholar
  6. Babu SS, Satheesh SK, Moorthy KK (2002) Aerosol radiative forcing due to enhanced black carbon at an urban site in India. Geophys Res Lett 29:1880–1884CrossRefGoogle Scholar
  7. Chen J, Wang P (2005) Effect of relative humidity on electron distribution and ozone production by DC coronas in air. IEEE Trans Plasma Sci 33(2):808–812CrossRefGoogle Scholar
  8. David LM, Nair PR (2011) Diurnal and seasonal variability of surface ozone and NOx at a tropical coastal site: association with mesoscale and synoptic meteorological conditions. J Geophys Res 116:D10303–D10318CrossRefGoogle Scholar
  9. Duenas C, Fenandez MC, Canete S, Carretero J, Liger E (2002) Assessment of ozone variations and meteorological effects in an urban area in the Mediterranean coast. Sci Tot Environ 299(1–3):97–113CrossRefGoogle Scholar
  10. Fendel W, Matter D, Burtscher H, Schmidt-Ott A (1995) Interaction between carbon or iron aerosol particles and ozone. Atmos Environ 29(9):967–973CrossRefGoogle Scholar
  11. Ganguly D, Jayaraman A, Gadhavi H (2006) Physical and optical properties of aerosols over an urban location in western India: seasonal variabilities. J Geophys Res 111:D24206–D24227CrossRefGoogle Scholar
  12. Gardner MW, Dorling SR (1999) Neural network modelling and prediction of hourly NOx and NO2 concentrations in urban air in London. Atmos Environ 33(5):709–719CrossRefGoogle Scholar
  13. Iliadis LS, Spartalis SI, Paschalidou AK, Kassomenos P (2007) Artificial neural network modelling of the surface ozone concentration. Int J Comp Appl Math 2(2):125–138Google Scholar
  14. Inal F (2010) Artificial neural network prediction of tropospheric ozone concentrations in Istanbul, Turkey. Clean: Soil, Air, Water 38(10):897–908Google Scholar
  15. Jiménez P, Jorba O, Parra R, Baldasano JM (2006) Evaluation of MM5-EMICAT2000-CMAQ performance and sensitivity in complex terrain: high-resolution application to the northeastern Iberian Peninsula. Atmos Environ 40(26):5056–5072CrossRefGoogle Scholar
  16. Kleinman LI (1991) Seasonal dependence of boundary layer peroxide concentration: the low and high NOx regimes. J Geophys Res 96(D11):20721–20733CrossRefGoogle Scholar
  17. Kolehmainen M, Martikainen H, Runskanen J (2001) Neural networks and periodic components used in air quality forecasting. Atmos Environ 35(5):815–825CrossRefGoogle Scholar
  18. Kumar RK, Narasimhulu K, Balakrishnaiah G, Reddy BSK, Rama Gopal K, Reddy RR, Satheesh SK, Moorthy KK, Babu SS (2011) Characterization of aerosol black carbon over a tropical semi-arid region of Anantapur, India. Atmos Res 100(1):12–27CrossRefGoogle Scholar
  19. Lal S, Naja M, Subbaraya BH (2000) Seasonal variation in the surface ozone and its precursors over an urban site in India. Atmos Environ 34(17):2713–2724CrossRefGoogle Scholar
  20. Latha KM, Badarinath KVS (2004) Correlation between black carbon aerosols, carbon monoxide, and tropospheric ozone over a tropical urban site. Atmos Res 71(4):265–274CrossRefGoogle Scholar
  21. Lee SB, Bae GN, Lee YM, Moon KC, Mansoo Choi M (2010) Correlation between Light Intensity and Ozone Formation for Photochemical Smog in Urban Air of Seoul. Aerosol Air Qual Res 10(6):540–549Google Scholar
  22. Manju N, Balakrishnan R, Mani N (2002) Assimilative capacity and pollutant dispersion studies for the industrial zone of Manali. Atmos Environ 36(21):3461–3471CrossRefGoogle Scholar
  23. Mazzeo NA, Laura EV, Choren HL (2005) Analysis of NO, NO2, O3 and NOx concentrations measure data green area of Buenos Aires City during wintertime. Atmos Environ 39(17):3055–3068CrossRefGoogle Scholar
  24. McAdams HT, Crawford RW, Hadder GR (2000) A vector approach to regression analysis and its application to heavy-duty diesel emissions. Society of Automotive Engineers, Inc, Contract with the Energy Division of Oak Ridge National Laboratory (ORNL), Contract No. DE-AC05-00OR22725Google Scholar
  25. Menon S, Hansen J, Nazarenko L, Luo Y (2002) Climate effects of black carbon aerosols in China and India. Science 297(5590):2250–2253CrossRefGoogle Scholar
  26. Pathak B, Kalita G, Bhuyan K, Bhuyan PK, Moorthy KK (2010) Aerosol temporal characteristics and its impact on shortwave radiative forcing at a location in the northeast of India. J Geophy Res 115:D19204–D19218CrossRefGoogle Scholar
  27. Rama Krishna TVBPS, Reddy MK, Reddy RC, Singh RN (2005) Impact of an industrial complex on the ambient air quality: case study using a dispersion model. Atmos Environ 39(29):5395–5407CrossRefGoogle Scholar
  28. Rodriguez S, Guerra JC (2001) Monitoring of ozone in a marine environment in Tenerife (Canary Islands). Atmos Environ 35(10):1829–1841CrossRefGoogle Scholar
  29. Sánchez ML, García MA, Pérez IA, de Torre B (2008) Evaluation of surface ozone measurements during 2000–2005 at a rural area in the upper Spanish plateau. J Atmos Chem 60(2):137–152CrossRefGoogle Scholar
  30. Selvaraj RS, Elampari K, Gayathri R, Johnson Jeyakumar S (2010) A neural network model for short term prediction of surface ozone at tropical city. Int J Eng Sci Tech 2(10):5306–5312Google Scholar
  31. Shavrina AV, Pavlenko YV, Veles AA, Sheminova VA, Synyavski II, Sosonkin MG, Romanyuk YO, Eremenko NA, Ivanov YS, Monsar OA, Kroon M (2010) Tropospheric ozone columns and ozone profiles for Kiev in 2007. Astro-Physical EPGoogle Scholar
  32. Sillman S, Logan J, Wofsy S (1990) The sensitivity of ozone to nitrogen oxides and hydrocarbons in regional ozone episodes. J Geophys Res 95(D2):1837–1851CrossRefGoogle Scholar
  33. Stull RB (1988) An introduction to boundary layer meteorology. Kluwer Academic, BostonCrossRefGoogle Scholar
  34. Swamy YV, Nikhil GN, Venkanna R, Das SN, Roy Chaudhury G (2012a) Emission of methane and nitrous oxide from Vigna mungo and Vigna radiata legumes in India during the dry cropping seasons. Atmósfera 25(1):107–120Google Scholar
  35. Swamy YV, Venkanna R, Nikhil GN, Chitanya DNSK, Sinha PR, Ramakrishna M, Rao AG (2012b) Impact of nitrogen oxides, volatile organic compounds and black carbon on atmospheric ozone levels at a semi arid urban site in Hyderabad. Aerosol Air Qual Res 12:662–671Google Scholar
  36. Swamy YV, Nikhil GN, Venkanna R, Chitanya DNSK, Sinha PR, Shailaja S, Rao AG (2013a) Role of nitrogen oxides, black carbon, and meteorological parameters on the variation of surface ozone levels at a tropical urban site–Hyderabad, India. Clean–Soil Air Water 41(3):215–225 Google Scholar
  37. Swamy YV, Sharma AR, Nikhil GN, Venkanna R, Chitanya DNSK, Sinha PR (2013b) The impact assessment of Diwali fireworks emissions on the air quality of a tropical urban site, Hyderabad, India, during three consecutive years. Environ Monit Assess 185:7309–7325Google Scholar
  38. Tripathi SN, Dey S, Tare V, Satheesh SK (2005) Aerosol black carbon radiative forcing at an industrial city in northern India. Geophys Res Lett 32:L08802–L08806Google Scholar
  39. Tsai DH, Wang JL, Wang CH, Chan CC (2008) A study of ground-level ozone pollution, ozone precursors and subtropical meteorological conditions in central Taiwan. J Environ Monit 10:109–118CrossRefGoogle Scholar
  40. Tu J, Xia ZG, Wang H, Li W (2007) Temporal variations in surface ozone and its precursors and meteorological effects at an urban site in China. Atmos Res 85:310–337CrossRefGoogle Scholar
  41. Venkataraman C, Habib G, Figuren-Fernandez A, Miguel AH, Friedlander SK (2005) Residential bio-fuels in South Asia: carbonaceous aerosol emissions and climate impacts. Science 307(5714):1454–1456CrossRefGoogle Scholar
  42. Walcek CJ, Yuan H–H (1995) Calculated influence of temperature-related factors on ozone formation rates in the lower troposphere. J Appl Meteorol 34(5):1056–1069CrossRefGoogle Scholar
  43. WHO (2005) Air quality guidelines for particulate matter, ozone, nitrogen dioxide and sulfur dioxide. World Health Organization, Global update 2005:1–22Google Scholar

Copyright information

© Islamic Azad University (IAU) 2014

Authors and Affiliations

  • R. Venkanna
    • 1
  • G. N. Nikhil
    • 1
  • T. Siva Rao
    • 2
  • P. R. Sinha
    • 3
  • Y. V. Swamy
    • 1
  1. 1.Bioengineering and Environmental SciencesIndian Institute of Chemical TechnologyHyderabadIndia
  2. 2.Department of Inorganic and Analytical Chemistry, College of Science and TechnologyAndhra UniversityVisakhapatnamIndia
  3. 3.National Balloon FacilityTata Institute of Fundamental ResearchHyderabadIndia

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