Advertisement

Spatial and Temporal Variations of PM2.5 in the Vicinity of Expressways in Bangkok, Thailand

  • Navaporn KanjanasiranontEmail author
  • Tassanee Prueksasit
  • Narut Sahanavin
  • Songkrit Prapagdee
Conference paper
  • 25 Downloads
Part of the Environmental Science and Engineering book series (ESE)

Abstract

The ambient air concentrations of PM2.5 were investigated in Bangkok’s urban and suburban expressways during the peak and off-peak period traffic congestion. The locations of the selected study areas were Leab Mae Nam (Inner Bangkok), Ram Intra (Outer Bangkok) and Jatuchot Expressways (suburban) which consisted of six sampling sites for each expressway toll. The sampling sites where located close to the expressway tolls were detected the greatest average concentrations of PM2.5 which showed the values of 44.79, 24.17 and 33.41 μg/m3 for Leab Mae Nam, Ram Intra and Jatuchot Expressways, correspondingly. Conversely, the sampling sites situated far from the expressway tolls were investigated the lowest mean levels of PM2.5 that illustrated the values of 12.72, 13.97 and 20.89 μg/m3 for Leab Mae Nam, Ram Intra and Jatuchot Expressway tolls, respectively. The distance between the expressways and sampling sites was influenced on PM2.5 concentrations, which indicated that the longer distance from the expressway tolls, the lower level of PM2.5. Moreover, statistical analysis of the PM2.5 data showed an insignificant difference among the three expressway tolls. For this reason, the results displayed a similar pattern to PM concentrations in urban and suburban expressway tolls. In terms of peak and off-peak periods, PM2.5 values of the three expressway tolls showed a significant difference. Normally, most PM2.5 derives from the combustion of gasoline and diesel fuel in vehicle engines. Therefore, the levels of PM2.5 in peak periods tended to be greater than those observed in the off-peak period.

Keywords

PM2.5 Expressway Bangkok 

Notes

Acknowledgements

This study was financially supported by Expressway Authority of Thailand (EXAT).

References

  1. Ai ZT, Mar CM, Lee HC (2016) Roadside air quality and implications for control measures: a case study of Hong Kong. Atmos Environ 137:6–16CrossRefGoogle Scholar
  2. Finn D, Clawson KL, Carter RG, Rich JD, Eckman RM, Perry SG (2010) Tracer studies to characterize the effects of roadside noise barriers on near-road pollutant dispersion under varying atmospheric stability conditions. Atmos Environ 44:204–214Google Scholar
  3. Ginzburg H, Liu X, Baker M, Shreeve R, Jayanty RKM, Campbell D, Zielinska B (2015) Monitoring study of the near-road PM2.5 concentrations in Maryland. J Air Waste Manage Assoc 65:1062–1071Google Scholar
  4. Hagler GSW, Thoma ED, Baldauf RW (2010) High-resolution mobile monitoring of carbon monoxide and ultrafine particle concentrations in a near-road environment. Air Waste Manage Assoc 60(3):328–336CrossRefGoogle Scholar
  5. Kim JY, Lee JY, Kim YP, Lee SB, Jin HC, Bae GN (2012) Seasonal characteristics of the gaseous and particulate PAHs at a roadside station in Seoul, Korea. Atmos Res 116:142–150CrossRefGoogle Scholar
  6. Kioumourtzoglou MA, Schwartz JD, Weisskopf MG, Melly SJ, Wang Y, Dominici F, Zanobetti A (2016) Long-term PM(2.5) exposure and neurological hospital admissions in the Northeastern United States. Environ Health Perspect 124(1):23–29Google Scholar
  7. Lelieveld J, Evans JS, Fnais M, Giannadaki D, Pozzer A (2015) The contribution of outdoor air pollution sources to premature mortality on a global scale. Nature 525:367–371Google Scholar
  8. Li Z, Hopke PK, Husain L, Qureshi S, Dutkiewicz VA, Schwab JJ, Drewnick F, Demerjian KL (2004) Sources of fine particle composition in New York city. Atmos Environ 38:6521–6529CrossRefGoogle Scholar
  9. Lin MY, Guo YX, Chen YC, Chen WT, Young LH, Lee KJ, Wu ZY, Tsai PJ (2018) An instantaneous spatiotemporal model for predicting traffic-related ultrafine particle concentration through mobile noise measurements. Sci Total Environ 636:1139–1148CrossRefGoogle Scholar
  10. Qiu Z, Xu X, Song J, Luo Y, Zhao R, Xiang B, Zhou W (2017) Pedestrian exposure to traffic PM on different types of urban roads: a case study of Xi’an, China. Sustain Cities Soc 32:475–485CrossRefGoogle Scholar
  11. Song S, Wu Y, Zheng X, Wang Z, Yang L, Li J, Hao J (2014) Chemical characterization of roadside PM2.5 and black carbon in Macao during a summer campaign. Atmos Pollut Res 5:381–387Google Scholar
  12. Spinazzè A, Cattaneo A, Scocca DR, Bonzini M, Cavallo DM (2015) Multi-metric measurement of personal exposure to ultrafine particles in selected urban microenvironments, Atmos Environ 110:8–17Google Scholar
  13. Xu G, Jiao L, Zhao S, Yuan M, Li X, Han Y, Zhang B, Dong T (2016) Examining the impacts of land use on air quality from a spatio-temporal perspective in Wuhan, China. Atmosphere 7:62CrossRefGoogle Scholar
  14. Xu G, Jiao G, Zhang B, Zhao S, Yuan M, Gu Y, Liu J, Tang X (2017) Spatial and temporal variability of the PM2.5/PM10 ratio in Wuhan, Central China. Aerosol Air Qual Res 17:741–751Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Navaporn Kanjanasiranont
    • 1
    Email author
  • Tassanee Prueksasit
    • 2
  • Narut Sahanavin
    • 3
  • Songkrit Prapagdee
    • 4
  1. 1.Faculty of Environment and Resource StudiesMahidol UniversityNakhon PathomThailand
  2. 2.Department of Environmental Science, Faculty of ScienceChulalongkorn UniversityBangkokThailand
  3. 3.Department of Public Health, Faculty of Physical EducationSrinakharinwirot UniversityNakhonnayokThailand
  4. 4.Environmental Research InstituteChulalongkorn UniversityBangkokThailand

Personalised recommendations