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Odd–Even Traffic Rule Implementation during Winter 2016 in Delhi Did Not Reduce Traffic Emissions of VOCs, Carbon Dioxide, Methane and Carbon Monoxide


Affiliations
1 Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, S.A.S. Nagar, Manauli PO 140 306, India
2 Indian Institute of Tropical Meteorology, Pashan, Pune 411 008, India
3 India Meteorological Department, New Delhi 110 003, India
4 Ministry of Earth Sciences, Government of India, New Delhi 110 003, India
 

We studied the impact of the odd–even traffic rule (implemented in Delhi during 1–15 January 2016) on primary traffic emissions using measurements of 13 volatile organic compounds, carbon monoxide, carbon dioxide and methane at a strategic arterial road in Delhi (28.57°N, 77.11°E, 220 m amsl). Whole air samples (n = 27) were collected during the odd–even rule active (OA) and inactive (OI) days, and analysed at the IISER Mohali Atmospheric Chemistry Facility. The average mass concentration ranking and toluene/benzene ratio were characteristic of primary traffic emissions in both OA and OI samples, with the largest fraction comprising aromatic compounds (55– 70% of total). Statistical tests showed likely increase (p ≤ 0.16; OA > OI) in median concentration of 13 out of 16 measured gases during morning and afternoon periods (sampling hours: 07 : 00–08 : 00 and 13 : 30–14 : 30 IST), whereas no significant difference was observed for evening samples (sampling hour: 19 : 00–20 : 00 IST). This suggests that many four-wheeler users chose to commute earlier, to beat the 8 : 00 AM–8 : 00 PM restrictions, and/or there was an increase in the number of exempted public transport vehicles. Thus, the odd–even rule did not result in anticipated traffic emission reductions in January 2016, likely due to the changed temporal and fleet emission behaviour triggered in response to the regulation.

Keywords

Odd–Even Rule, Pollution, PTR-MS, Traffic, VOCs.
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  • United Nations, World’s population increasingly urban with more than half living in urban areas, 2014; available at: http://wwwunorg/en/development/desa/news/population/world-urbanization-prospects-2014.html
  • Nagpure, A. S., Gurjar, B. R. and Martel, J., Human health risks in national capital territory of Delhi due to air pollution. Atmos. Pollut. Res., 2014, 5(3), 371–380.
  • Guttikunda, S. K. and Calori, G., A GIS based emissions inventory at 1 km x 1 km spatial resolution for air pollution analysis in Delhi, India. Atmos. Environ., 2013, 67, 101–111.
  • Sindhwani, R. and Goyal, P., Assessment of traffic-generated gaseous and particulate matter emissions and trends over Delhi (2000–2010). Atmos. Pollut. Res., 2014, 5, 438–446.
  • Delhi Statistical Handbook 2016, Directorate of Economics and Statistics, Government of National Capital Territory of Delhi, 2016; pp. 210–211; http://www.delhi.gov.in/wps/wcm/connect/doit_des/DES/Our+Services/Statistical+Hand+Book/
  • World Health Organization, WHO’s urban ambient air pollution database. 2016; http://www.who.int/phe/health_topics/outdoorair/databases/AAP_database_summary_results_2016_v02.pdf?ua=1
  • Goel, R. and Guttikunda, S. K., Role of urban growth, technology, and judicial interventions on vehicle exhaust emissions in Delhi for 1991–2014 and 2014–2030 periods. Environ. Dev., 2015, 14, 6–21.
  • Beig, G. et al., Quantifying the effect of air quality control measures during the 2010 Commonwealth Games at Delhi, India. Atmos. Environ., 2013, 80, 455–463.
  • Davis, L. W., The effect of driving restrictions on air quality in Mexico City. J. Polit. Econ., 2008, 116, 38–81.
  • Tan, Z. et al., Evaluating vehicle emission control policies using on-road mobile measurements and continuous wavelet transform: a case study during the Asia–Pacific Economic Cooperation Forum, China, 2014. Atmos. Chem. Phys. Discuss, 2016, 2016, 1–39.
  • Mahendra, A., Vehicle restrictions in four Latin American cities: is congestion pricing possible? Trans. Rev., 2008, 28, 105–133.
  • Odd–even scheme. Government of National Capital Territory of Delhi, Transport Department, 28 December 2015; http://it.delhigovt.nic.in/writereaddata/egaz20157544.pdf
  • Goyal, P. and Gandhi, G., Assessment of air quality during the ‘odd–even scheme’ of vehicles in Delhi. Indian J. Sci. Technol., 2016, 9(48).
  • Singhania, K., Girish, G. and Vincent, E. N., Impact of odd–even rationing of vehicular movement in Delhi on air pollution levels. Low Carbon Econ., 2016, 7, 151.
  • Pavani, V. S. and Aryasri, A. R., Pollution control through odd–even rule: a case study of Delhi. Indian J. Sci., 2016, 23, 403–411.
  • Henze, D. K. et al., Global modeling of secondary organic aerosol formation from aromatic hydrocarbons: high- vs low-yield pathways. Atmos. Chem. Phys., 2008, 8, 2405–2420.
  • Singh, H. B., Salas, L. J., Cantrell, B. K. and Redmond, R. M., Distribution of aromatic hydrocarbons in the ambient air. Atmos. Environ., 1985, 19, 1911–1919.
  • Parrish, D. D. et al., Comparison of air pollutant emissions among mega-cities. Atmos. Environ., 2009, 43, 6435–6441.
  • Baker, A. K. et al., Measurements of nonmethane hydrocarbons in 28 United States cities. Atmos. Environ., 2008, 42, 170–182.
  • Li, S., Chen, S., Zhu, L., Chen, X., Yao, C. and Shen, X., Concentrations and risk assessment of selected monoaromatic hydrocarbons in buses and bus stations of Hangzhou, China. Sci. Total Environ., 2009, 407, 2004–2011.
  • Holzinger, R. et al., Biomass burning as a source of formaldehyde, acetaldehyde, methanol, acetone, acetonitrile, and hydrogen cyanide. Geophys. Res. Lett., 1999, 26, 1161–1164.
  • Mellouki, A., Wallington, T. J. and Chen, J., Atmospheric chemistry of oxygenated volatile organic compounds: impacts on air quality and climate. Chem. Rev., 2015, 115, 3984–4014.
  • Guenther, A., Karl, T., Harley, P., Wiedinmyer, C., Palmer, P. I. and Geron, C., Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature). Atmos. Chem. Phys., 2006, 6, 3181–3210.
  • Borbon, A., Fontaine, H., Veillerot, M., Locoge, N., Galloo, J. C. and Guillermo, R., An investigation into the traffic-related fraction of isoprene at an urban location. Atmos. Environ., 2001, 35, 3749–3760.
  • Holzinger, R., Jordan, A., Hansel, A. and Lindinger, W., Automobile emissions of acetonitrile: assessment of its contribution to the global source. J. Atmos. Chem., 2001, 38, 187–193.
  • Ban-Weiss, G. A., McLaughlin, J. P., Harley, R. A., Kean, A. J., Grosjean, E. and Grosjean, D., Carbonyl and nitrogen dioxide emissions from gasoline- and diesel-powered motor vehicles. Environ. Sci. Technol., 2008, 42, 3944–3950.
  • Sinha, V., Kumar, V. and Sarkar, C., Chemical composition of pre-monsoon air in the Indo-Gangetic Plain measured using a new air quality facility and PTR-MS: high surface ozone and strong influence of biomass burning. Atmos. Chem. Phys., 2014, 14, 5921–5941.
  • Sarkar, C., Kumar, V. and Sinha, V., Massive emissions of carcinogenic benzenoids from paddy residue burning in North India. Curr. Sci., 2013, 104, 1703–1706.
  • Basu, I., Squeezed into a jam in Dwarka. The Times of India, 23 February 2013, New Delhi.
  • Ghude, S. D. et al., Winter fog experiment over the Indo-Gangetic plains of India. Curr. Sci., 2017, 112, 767–784.
  • Kumar, V. and Sinha, V., VOC–OHM: a new technique for rapid measurements of ambient total OH reactivity and volatile organic compounds using a single proton transfer reaction mass spectrometer. Int. J. Mass Spectrom., 2014, 374, 55–63.
  • Pollmann, J., Helmig, D., Hueber, J., Plass-Dulmer, C. and Tans, P., Sampling, storage, and analysis of C2–C7 non-methane hydrocarbons from the US National Oceanic and Atmospheric Administration Cooperative Air Sampling Network glass flasks. J. Chromatogr. A, 2008, 1188, 75–87.
  • Chandra, B. P., Sinha, V., Hakkim, H. and Sinha, B., Storage stability studies and field application of low cost glass flasks for analyses of thirteen ambient VOCS using proton transfer reaction mass spectrometry. Int. J. Mass Spectrom., 2017, 419, 11–19.
  • Chandra, B. P. and Sinha, V., Contribution of post-harvest agricultural paddy residue fires in the N.W. Indo-Gangetic Plain to ambient carcinogenic benzenoids, toxic isocyanic acid and carbon monoxide. Environ. Int., 2016, 88, 187–197.
  • de Gouw, J. and Warneke, C., Measurements of volatile organic compounds in the earth’s atmosphere using proton-transferreaction mass spectrometry. Mass Spectrom. Rev., 2007, 26, 223–257.
  • Blake, R. S., Monks, P. S. and Ellis, A. M., Proton-transfer reaction mass spectrometry. Chem. Rev., 2009, 109, 861–896.
  • Rella, C. W. et al., High accuracy measurements of dry mole fractions of carbon dioxide and methane in humid air. Atmos. Meas. Tech., 2013, 6, 837–860.
  • Ho, K. et al., Vehicular emission of volatile organic compounds (VOCs) from a tunnel study in Hong Kong. Atmos. Chem. Phys., 2009, 9, 7491–7504.
  • Baudic, A. et al., Seasonal variability and source apportionment of volatile organic compounds (VOCs) in the Paris megacity (France). Atmos. Chem. Phys., 2016, 16, 11961–11989.
  • Barletta, B., Meinardi, S., Simpson, I. J., Khwaja, H. A., Blake, D. R. and Rowland, F. S., Mixing ratios of volatile organic compounds (VOCs) in the atmosphere of Karachi, Pakistan. Atmos. Environ., 2002, 36, 3429–3443.
  • Sarkar, C. et al., Overview of VOC emissions and chemistry from PTR-TOF-MS measurements during the SusKat-ABC campaign: high acetaldehyde, isoprene and isocyanic acid in wintertime air of the Kathmandu Valley. Atmos. Chem. Phys., 2016, 16, 3979–4003.
  • Kim, Y. M., Harrad, S. and Harrison, R. M., Concentrations and sources of VOCs in urban domestic and public microenvironments. Environ. Sci. Technol., 2001, 35, 997–1004.
  • Kerbachi, R., Boughedaoui, M., Bounoua, L. and Keddam, M., Ambient air pollution by aromatic hydrocarbons in Algiers. Atmos. Environ., 2006, 40, 3995–4003.
  • Som, D., Dutta, C., Chatterjee, A., Mallick, D., Jana, T. K. and Sen, S., Studies on commuters’ exposure to BTEX in passenger cars in Kolkata, India. Sci. Total Environ., 2007, 372, 426–432.
  • Hoque, R. R., Khillare, P. S., Agarwal, T., Shridhar, V. and Balachandran, S., Spatial and temporal variation of BTEX in the urban atmosphere of Delhi, India. Sci. Total Environ., 2008, 392, 30–40.
  • Goyal, P., Mishra, D. and Kumar, A., Vehicular emission inventory of criteria pollutants in Delhi. Springer Plus., 2013, 2(216), 1–11.
  • Sheskin, D. J., Handbook of Parametric and Nonparametric Statistical Procedures, Chapman & Hall/CRC, 2011, 5th edn, pp. 513–525.
  • Sarkar, C., Sinha, V., Sinha, B., Panday, A. K., Rupakheti, M. and Lawrence, M. G., Source apportionment of NMVOCs in the Kathmandu Valley during the SusKat-ABC international field campaign using positive matrix factorization. Atmos. Chem. Phys., 2017, 17, 8129–8156.

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  • Odd–Even Traffic Rule Implementation during Winter 2016 in Delhi Did Not Reduce Traffic Emissions of VOCs, Carbon Dioxide, Methane and Carbon Monoxide

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Authors

B. P. Chandra
Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, S.A.S. Nagar, Manauli PO 140 306, India
V. Sinha
Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, S.A.S. Nagar, Manauli PO 140 306, India
H. Hakkim
Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, S.A.S. Nagar, Manauli PO 140 306, India
A. Kumar
Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, S.A.S. Nagar, Manauli PO 140 306, India
H. Pawar
Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, S.A.S. Nagar, Manauli PO 140 306, India
A. K. Mishra
Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, S.A.S. Nagar, Manauli PO 140 306, India
G. Sharma
Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, S.A.S. Nagar, Manauli PO 140 306, India
Pallavi
Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, S.A.S. Nagar, Manauli PO 140 306, India
S. Garg
Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Mohali, Sector 81, S.A.S. Nagar, Manauli PO 140 306, India
Sachin D. Ghude
Indian Institute of Tropical Meteorology, Pashan, Pune 411 008, India
D. M. Chate
Indian Institute of Tropical Meteorology, Pashan, Pune 411 008, India
Prakash Pithani
Indian Institute of Tropical Meteorology, Pashan, Pune 411 008, India
Rachana Kulkarni
Indian Institute of Tropical Meteorology, Pashan, Pune 411 008, India
R. K. Jenamani
India Meteorological Department, New Delhi 110 003, India
M. Rajeevan
Ministry of Earth Sciences, Government of India, New Delhi 110 003, India

Abstract


We studied the impact of the odd–even traffic rule (implemented in Delhi during 1–15 January 2016) on primary traffic emissions using measurements of 13 volatile organic compounds, carbon monoxide, carbon dioxide and methane at a strategic arterial road in Delhi (28.57°N, 77.11°E, 220 m amsl). Whole air samples (n = 27) were collected during the odd–even rule active (OA) and inactive (OI) days, and analysed at the IISER Mohali Atmospheric Chemistry Facility. The average mass concentration ranking and toluene/benzene ratio were characteristic of primary traffic emissions in both OA and OI samples, with the largest fraction comprising aromatic compounds (55– 70% of total). Statistical tests showed likely increase (p ≤ 0.16; OA > OI) in median concentration of 13 out of 16 measured gases during morning and afternoon periods (sampling hours: 07 : 00–08 : 00 and 13 : 30–14 : 30 IST), whereas no significant difference was observed for evening samples (sampling hour: 19 : 00–20 : 00 IST). This suggests that many four-wheeler users chose to commute earlier, to beat the 8 : 00 AM–8 : 00 PM restrictions, and/or there was an increase in the number of exempted public transport vehicles. Thus, the odd–even rule did not result in anticipated traffic emission reductions in January 2016, likely due to the changed temporal and fleet emission behaviour triggered in response to the regulation.

Keywords


Odd–Even Rule, Pollution, PTR-MS, Traffic, VOCs.

References





DOI: https://doi.org/10.18520/cs%2Fv114%2Fi06%2F1318-1325