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Air Quality, Atmosphere & Health

, Volume 11, Issue 6, pp 715–727 | Cite as

Transformational characteristics of ground-level ozone during high particulate events in urban area of Malaysia

  • Norrimi Rosaida Awang
  • Nor Azam Ramli
  • Syabiha Shith
  • Nazatul Syadia Zainordin
  • Hemamalini Manogaran
Article

Abstract

Observations of ground-level ozone (O3), nitric oxide (NO), nitrogen dioxide (NO2), particulate matter (PM10) and meteorological parameter (temperature, relative humidity and wind speed) fluctuations during high particulate event (HPE) and non-HPE in Malaysia have been conducted for 2 years (2013 and 2014). The study focuses on urban areas, namely, Shah Alam, Petaling Jaya and Bandaraya Melaka. The diurnal variations of ground-level O3 concentration were higher during HPE than those during non-HPE in all urban areas. The concentration of O3 fluctuated more in 2014 than 2013 due to the higher incidences of HPE. Temperature and wind speed fluctuated with higher PM10, NO2 and NO concentrations during HPE than those during non-HPE in all urban sites. Relative humidity was lower during HPE than that during non-HPE. Positive correlations were found between PM10 and ozone during HPE for Shah Alam and Petaling Jaya with 0.81 and 0.79, respectively. Meanwhile, negative correlation (− 0.76) was recorded for Bandaraya Melaka. The non-HPE correlation of PM10 and O3 showed negative values for all locations except Petaling Jaya (0.02). Temperature and wind speed shows a strong positive correlation with ozone for all locations during HPE and non-HPE with the highest at Shah Alam (0.97). Inverse relationships were found between relative humidity and O3, in which the highest was for Shah Alam (− 0.96) in 2013 and Shah Alam (− 0.97) and Bandaraya Melaka (− 0.97) in 2014. The result of the ozone best-fit equation obtained an R2 of 0.6730. The study parameters had a significant positive relationship with the ozone predictions during HPE.

Keywords

Ozone production Photochemistry rate Anthropogenic sources Ozone precursor 

Notes

Acknowledgements

The authors would like to express their great gratitude to the Department of Environment of Malaysia for the data provided for this research and the Universiti Sains Malaysia for the research funding.

Funding information

This study was funded under grant 1001/PAWAM/814278.

References

  1. Abas MR, Oros DR, Simoneit BRT (2004) Biomass burning as the main source of organic aerosol particulate matter in Malaysia during haze episodes. Chemo 55:1089–1095CrossRefGoogle Scholar
  2. Abdullah AM, Samah MAA, Jun TY (2012) An overview of the air pollution trend in Klang Valley, Malaysia. Open Environ Sci 6:13–19CrossRefGoogle Scholar
  3. Abdul-Wahab SA, Bakheit CS, Al-Alawi SM (2005) Principal component and multiple regression analysis in modelling of ground-level ozone and factors affecting its concentrations. Environ Model Soft 20:1263–1271CrossRefGoogle Scholar
  4. Afroz R, Hassan MN, Ibrahim NA (2003) Review of air pollution and health impacts in Malaysia. Environ Res 92:71–77CrossRefGoogle Scholar
  5. Alghamdi MA, Khoder M, Harrison RM, Hyvärinen A-P, Hussein T, Al-Jeelani H, Abdelmaksoud AS, Goknil MH, Shabbaj II, Almehmadi FM, Lihavainen H, Kulmala M, Hämeri K (2014) Temporal variations of O3 and NOx in the urban background atmosphere of the coastal city Jeddah, Saudi Arabia. Atmos Environ 94:205–214CrossRefGoogle Scholar
  6. Amil N, Latif MT, Khan MF, Mohamad M (2016) Seasonal variability of PM2.5 composition and sources in the Klang Valley urban-industrial environment. Atmos Chem Phys 16:5357–5381CrossRefGoogle Scholar
  7. Anger A, Dessens O, Xi F, Barker T, Wu R (2016) China’s air pollution reduction efforts may result in an increase in surface ozone levels in highly polluted areas. Ambio 45:254–265CrossRefGoogle Scholar
  8. Awang M, Jaafar AB, Abdullah AM, Ismail M, Hassan MN, Abdullah R, Noor H (2000) Air quality in Malaysia: impacts, management issues and future challenges. Resp 5:183–196Google Scholar
  9. Awang NR, Ramli NA, Yahaya AS, Elbayoumi M (2015) Multivariate methods to predict ground level ozone during daytime, nighttime, and critical conversion time in urban areas. Atmos Poll Res 6:726–734CrossRefGoogle Scholar
  10. Awang NR, Elbayoumi M, Ramli NA, Yahaya AS (2016) Diurnal variations of ground-level ozone in three port cities in Malaysia. Air Qual Atmos Health 9(1):25–39CrossRefGoogle Scholar
  11. Banan N (2013) Characteristics of surface ozone concentrations at stations with different backgrounds in the Malaysian Peninsula. Aerosol Air Qual Res 13:1090–1106.  https://doi.org/10.4209/aaqr.2012.09.0259 Google Scholar
  12. Benas N, Mourtzanou E, Kouvarakis G, Bais A, Mihalopoulos N, Vardavas I (2013) Surface ozone photolysis rate trends in the Eastern Mediterranean: modeling the effects of aerosols and total column ozone based on Terra MODIS data. Atmos Environ 74:1–9CrossRefGoogle Scholar
  13. Bi J, Huang J, Hu Z, Holben BN, Guo Z (2014) Investigating the aerosol optical and radiative characteristics of heavy haze episodes in Beijing during January of 2013. J Geophys Res: Atmos 119(16):9884–9900Google Scholar
  14. Bian H, Han S, Tie X, Sun M, Liu A (2017) Evidence of impact of aerosols on surface ozone concentration in Tianjin, China. Atmos Environ 41:4672–4681CrossRefGoogle Scholar
  15. Bo H, Yuesi W, Guangren L (2010) Properties of ultraviolet radiation and the relationship between ultraviolet radiation and aerosol optical depth in China. Atmos Res 98:297–308CrossRefGoogle Scholar
  16. Camalier L, Cox W, Dolwick P (2007) The effects of meteorology on ozone in urban areas and their use in assessing ozone trends. Atmos Environ 41:7127–7137CrossRefGoogle Scholar
  17. Chan LY, Kwok WS (2001) Roadside suspended particulates at heavily trafficked urban sites of Hong Kong—seasonal variation and dependence on meteorological conditions. Atmos Environ 35:3177–3182CrossRefGoogle Scholar
  18. Chooi TK, San LH, Jafri, MZM (2014) Observed atmospheric total column ozone distribution from SCIAMACHY over Peninsular Malaysia Paper presented at the IOP Conference Series: Earth and Environmental ScienceGoogle Scholar
  19. Chow JC, Watson JG, Lowenthal DH, Solomon PA, Magliano KL, Ziman SD, Richards LW (1992) PM10 source apportionment in California’s San Joaquin Valley. Atmos Environ Part A General Topics 26(18):3335–3354CrossRefGoogle Scholar
  20. Clapp LJ, Jenkin ME (2001) Analysis of the relationship between ambient levels of O3, NO2 and NO as a function of NOx in the Uk. Atmos Environ 35:6391–6405CrossRefGoogle Scholar
  21. Dominick D, Juahir H, Latif MT, Zain SM, Aris AZ (2012) Spatial assessment of air quality patterns in Malaysia using multivariate analysis. Atmos Environ 60:172–181CrossRefGoogle Scholar
  22. Feng T, Bei N, Huang RJ, Cao J, Zhang Q, Zhou W, Li G (2016) Summertime ozone formation in Xi’an and surrounding areas, China. J Atmos Chem Phys 16:4323–4342CrossRefGoogle Scholar
  23. Ghazali NA, Ramli NA, Yahaya AS, Yusof NFF, Sansuddin N, Al Madhoun WA (2010) Transformation of nitrogen dioxide into ozone and prediction of ozone concentrations using multiple linear regression techniques. Environ Monit Assess 165(1–4):475–489CrossRefGoogle Scholar
  24. Gong X, Hong S, Jaffe AD (2017) Ozone in China: spatial distribution and leading meteorological factors controlling O3 in 16 Chinese cities. Aerosol Air Qual Res.  https://doi.org/10.4209/aaqr.2017.10.0368
  25. Han S, Bian H, Feng Y, Liu A, Li X, Zeng F, Zhang X (2011) Analysis of the relationship between O3, NO and NO2 in Tianjin, China. Aerosol Air Qual Res 11(2):128–139Google Scholar
  26. Hauglustaine D, Emmons L, Newchurch M, Brasseur G, Takao T, Matsubara K, Dye J (2001) On the role of lightining NOx in the formation of tropospheric ozone plumes: a global model perspective. J Atmos Chem 38:277–294CrossRefGoogle Scholar
  27. Huang J, Minnis P, Chen B, Huang Z, Liu Z, Zhao Q, Ayers JK (2008) Long-range transport and vertical structure of Asian dust from CALIPSO and surface measurements during PACDEX. J Geophy Res Atmos 113(D23)Google Scholar
  28. IPCC (2007) Intergovernmental Panel on Climate Change. Climate Change 2007 - Mitigation of Climate Change: Working Group III contribution to the Fourth Assessment Report of the IPCC: Cambridge: Cambridge University PressGoogle Scholar
  29. Jenkin ME, Clemitshaw KC (2000) Ozone and other secondary photochemical pollutants: chemical processes governing their formation in the planetary boundary layer. Atmos Environ 34:2499–2527CrossRefGoogle Scholar
  30. Karar K, Gupta AK, Kumar A, Biswas AK, Devotta S (2006) Statistical interpretation of weekday/weekend differences of ambient particulate matter, vehicular traffic and meteorological parameters in an urban region of Kolkata, India. Indoor Built Environ 15(3):235–245CrossRefGoogle Scholar
  31. Khan MF, Latif MT, Saw WH, Amil N, Nadzir MSM (2016) Fine particulate matter in the tropical environment: monsoonal effects, source apportionment, and health risk assessment. Atmos Chemis Phys 16:597–617CrossRefGoogle Scholar
  32. Kumar A, Singh D, Singh BP, Singh M, Anandam K, Kumar K, Jain VK (2015) Spatial and temporal variability of surface ozone and nitrogen oxides in urban and rural ambient air of Delhi-NCR, India. Air Qual Atmos Health 8(4):391–399CrossRefGoogle Scholar
  33. Lal S, Naja M, Subbaraya BH (2000) Seasonal variations in surface ozone and its precursors over an urban site in India. Atmos Environ 34(17):2713–2724CrossRefGoogle Scholar
  34. Larson S, Cass G, Hussy K, Luce F (1984) Visibility model verification by image processing techniques, Final report to State of California Air Resources Board under agreement A2–077-32, Sacramento, CAGoogle Scholar
  35. Latif MT, Huey LS, Juneng L (2012) Variations of surface ozone concentration across the Klang Valley, Malaysia. Atmos Environ 61:434–445CrossRefGoogle Scholar
  36. Li Z, Lee KH, Wang Y, Xin J, Hao WM (2010) First observation-based estimates of cloud-free aerosol radiative forcing across China. J Geophys Res Atmos 115. doi:  https://doi.org/10.1029/2009JD013306
  37. Li W, Shao L, Shi Z, Chen J, Yang L, Yuan Q, Yan C, Zhang X, Wang Y, Sun J, Zhang Y, Shen X, Wang Z, Wang W (2014) Mixing state and hygroscopicity of dust and haze particles before leaving Asian continent. J Geophys Res: Atmosp 119(2):1044–1059CrossRefGoogle Scholar
  38. Liu JC, Peng RD (2018) Health effect of mixtures of ozone, nitrogen dioxide, and fine particulates in 85 US counties. Air Qual Atmos Health:1–14Google Scholar
  39. Liu SC, McKeen SA, Madronich S (1991) Effect of anthropogenic aerosols on biologically active ultraviolet radiation. Geophys Res Letters 18(12):2265–2268CrossRefGoogle Scholar
  40. Liu SK, Cai S, Chen Y, Xiao B, Chen P, Xiang XD (2016) The effect of pollutional haze on pulmonary function. J Tho Dis 8(1):E41Google Scholar
  41. Lu Y, Khalil MAK (1996) The distribution of solar radiation in the earth's atmosphere: the effects of ozone, aerosols and clouds. Chemos 32(4):739–758CrossRefGoogle Scholar
  42. McNaught AD, Wilkinson A (1997) IUPAC. In: Compendium of chemical terminology, 2nd edn. (the “Gold Book”). Blackwell Scientific Publications, OxfordGoogle Scholar
  43. Mohamad Hashim NI, Mohamed Noor N, Yusof SY (2018) Temporal characterisation of ground-level ozone concentration in Klang Valley. E3S Web of Conferences 34:02047CrossRefGoogle Scholar
  44. Naja M, Lal S, Chand D (2003) Diurnal and seasonal variabilities in surface ozone at a high altitude site Mt Abu in India. Atmos Environ 37:4205–4215CrossRefGoogle Scholar
  45. Norela S, Saidah MS, Mahmud M (2013) Chemical composition of the haze in Malaysia 2005. Atmos Environ 77:1005–1010CrossRefGoogle Scholar
  46. Punithavathy IK, Vijayalakshmi S, Jeyakumar SJ (2015) Assessment of ground-level ozone and its variability with meteorological parameters at Karaikal, India. Uni J Environ Res Tech 5(5)Google Scholar
  47. Rahman SRA, Ismail SNS, Raml MF, Latif MT, Abidin EZ, Praveena SM (2015) The assessment of ambient air pollution trend in Klang Valley, Malaysia. World Environ 5(1):1–11Google Scholar
  48. Rai R, Rajput M, Agrawal M, Agrawal SB (2011) Gaseous air pollutants: a review on current and future trends of emissions and impact on agriculture. J Scie Res 55(771):1Google Scholar
  49. Ramanathan V, Crutzen PJ, Lelieveld J, Mitra AP, Althausen D, Anderson J, Valero FPJ (2001) Indian Ocean experiment: an integrated analysis of the climate forcing and effects of the great Indo-Asian haze. J\ Geophys Res: Atmos 106:2156–2202.  https://doi.org/10.1029/2001JD900133 Google Scholar
  50. Reid JS, Hobbs PV, Ferek RJ, Blake DR, Martins JV, Dunlap MR, Liousse C (1998) Physical, chemical, and optical properties of regional hazes dominated by smoke in Brazil. J Geophys Res Atmos 103(D24):32059–32080CrossRefGoogle Scholar
  51. Saxena P, Ghosh C (2011) Variation in the concentration of ground level ozone at selected sites in Delhi. Int J Environ Sci 1(7):1899–1911Google Scholar
  52. Seinfeld J, Pandis SN (2006) Atmospheric chemistry and physics: from air pollution to climate change, 2nd edn. John Wiley & Sons, Inc, New JerseyGoogle Scholar
  53. Sicard P, Coddeville P, Claude JC (2009) Near-surface ozone levels and trends at rural stations in France over the 1995–2003 period. Environ Monit Assess 156(1–4):141–157CrossRefGoogle Scholar
  54. Tomasi C, Vitale V, Lupi A, Di Carmine C, Campanelli M, Herber A, Radionov V (2007) Aerosols in polar regions: a historical overview based on optical depth and in situ observations. J Geophys Res Atmos 112(D16)Google Scholar
  55. Tong L, Zhang H, Yu J, He M, Xu N, Zhang J, Qian F, Feng J, Xiao H (2017) Characteristics of surface ozone and nitrogen oxides at urban, suburban and rural sites in Ningbo, China. Atmos Res 187:57–68CrossRefGoogle Scholar
  56. Toro R, Seguel RJ (2015) Ozone, nitrogen oxides, and volatile organic compounds in a central zone of Chile. Air Qual Atmos Health 8(6):545–557CrossRefGoogle Scholar
  57. Toro RA, Donoso CS, Seguel RA, Morales RG, Leiva MA (2014) Photochemical ozone pollution in the Valparaiso Region, Chile. Air Qual Atmos Health 7(1):1–11CrossRefGoogle Scholar
  58. Wang J, Allen DJ, Pickering KE, Li Z, He H (2016) Impact of aerosol direct effect on East Asian air quality during the EAST-AIRE campaign. J Geophys Res Atmos 121(11):6534–6554CrossRefGoogle Scholar
  59. Wolff GT, Lioy PJ (1978) An empirical model for forecasting maximum daily ozone levels in the Northeastern U.S. J Air Poll Control Assoc 28(10):1034–1038CrossRefGoogle Scholar
  60. Xing J, Wang J, Mathur R, Wang S, Sarwar G, Pleim J, Hogrefe C, Zhang Y, Jiang J, Wong DC, Hao J (2017) Impacts of aerosol direct effects on tropospheric ozone through changes in atmospheric dynamics and photolysis rates. Atmos Chem Phys 17:9869–9883CrossRefGoogle Scholar
  61. Yi J, Prybutok VR (1996) A neural network moel forecasting for prediction of daily maximum ozone concentration in an industrialized urban area. Environ Poll 92(3):349–357CrossRefGoogle Scholar
  62. Zafonte L, Rieger PL, Holmes JR (1977) Nitrogen dioxide photolysis in the Los Angeles atmosphere. Environ Sci Technol 11(5):483–487CrossRefGoogle Scholar
  63. Zhang M, Ma Y, Gong W, Wang L, Xia X, Che H, Liu B (2017) Aerosol radiative effect in UV, VIS, NIR, and SW spectra under haze and high-humidity urban conditions. Atmos Environ 166:9–21.  https://doi.org/10.1016/j.atmosenv.2017.07.006 CrossRefGoogle Scholar
  64. Zhao H, Wang W, Liu R, Zhou B (2015) Investigation of ground-level ozone and high-pollution episodes in a megacity of Eastern China. Pub Lib Sci (PLoS) 10(6):e0131878Google Scholar

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© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  • Norrimi Rosaida Awang
    • 1
  • Nor Azam Ramli
    • 2
  • Syabiha Shith
    • 2
  • Nazatul Syadia Zainordin
    • 2
  • Hemamalini Manogaran
    • 1
  1. 1.Faculty of Earth ScienceUniversiti Malaysia Kelantan Kampus JeliJeliMalaysia
  2. 2.Environmental Assessment and Clean Air Research, School of Civil Engineering, Engineering CampusUniversiti Sains MalaysiaNibong TebalMalaysia

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