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Environmental Science and Pollution Research

, Volume 24, Issue 32, pp 25179–25189 | Cite as

Characterization of PM2.5 in Delhi: role and impact of secondary aerosol, burning of biomass, and municipal solid waste and crustal matter

  • Pavan K. Nagar
  • Dhirendra Singh
  • Mukesh Sharma
  • Anil Kumar
  • Viney P. Aneja
  • Mohan P. George
  • Nigam Agarwal
  • Sheo P. Shukla
Research Article

Abstract

Delhi is one among the highly air polluted cities in the world. Absence of causal relationship between emitting sources of PM2.5 and their impact has resulted in inadequate actions. This research combines a set of innovative and state-of-the-art analytical techniques to establish relative predominance of PM2.5 sources. Air quality sampling at six sites in summer and winter for 40 days (at each site) showed alarmingly high PM2.5 concentrations (340 ± 135 μg/m3). The collected PM2.5 was subjected to chemical speciation including ions, metals, organic and elemental carbons which followed application of chemical mass balance technique for source apportionment. The source apportionment results showed that secondary aerosols, biomass burning (BMB), vehicles, fugitive dust, coal and fly ash, and municipal solid waste burning were the important sources. It was observed that secondary aerosol and crustal matter accounted for over 50% of mass. The PM2.5 levels were not solely result of emissions from Delhi; it is a larger regional problem caused by contiguous urban agglomerations. It was argued that emission reduction of precursors of secondary aerosol, SO2, NOx, and volatile organic compounds, which are unabated, is essential. A substantial reduction in BMB and suspension of crustal dust is equally important to ensure compliance with air quality standards.

Keywords

PM2.5 Source apportionment Biomass burning MSW burning Secondary aerosols 

Notes

Acknowledgements

The authors gratefully acknowledge the Government of National Capital Territory of Delhi (NCTD) and Delhi Pollution Control Committee (DPCC), Delhi, for their financial support.

Supplementary material

11356_2017_171_MOESM1_ESM.docx (2.3 mb)
ESM 1 Further information on Time series of air quality index (AQI) for the period of October 1, 2016 to December 3, 2016 at different locations in Delhi (Fig. S1), monthly aerosol optical depth of aerosol for period of September 2013 to June 2014 captured by the NASA’s Terra/MODIS satellite (Fig. S2), PM2.5 Emission load of different sources in Delhi (Fig. S3), Pattern of PM2.5 in City of Delhi during 2013–2014 (Fig. S4), Fractional contributions of each source during winter (W) and summer (S) PM2.5 levels observed at different sites (Fig. S5) and Back trajectories taken from online HYSPLIT model for period of November 03–21, 2013 at 28.53 N, 77.28 E (Fig. S6). (DOCX 2305 kb)

References

  1. Aatmeeyata, Sharma M (2010) Contribution of traffic-generated nonexhaust PAHs, elemental carbon, and organic carbon emission to air and urban runoff pollution. J Environ Eng 136:1447–1450.  https://doi.org/10.1061/(ASCE)EE.1943-7870.0000274 CrossRefGoogle Scholar
  2. ARAI (2007) Emission factor development for Indian vehicles as a part of ambient air quality monitoring and emission source apportionment studiesGoogle Scholar
  3. Awasthi A, Agarwal R, Mittal SK et al (2011) Study of size and mass distribution of particulate matter due to crop residue burning with seasonal variation in rural area of Punjab, India. J Environ Monit 13:1073–1081.  https://doi.org/10.1039/c1em10019j CrossRefGoogle Scholar
  4. Badarinath KVS, Kiran Chand TR, Krishna Prasad V (2006) Agriculture crop residue burning in the indo-Gangetic Plains—a study using IRS-P6 AWiFS satellite data. Curr Sci 91:1085–1089Google Scholar
  5. Badarinath KVS, Kumar Kharol S, Rani Sharma A (2009) Long-range transport of aerosols from agriculture crop residue burning in Indo-Gangetic Plains—a study using LIDAR, ground measurements and satellite data. J Atmos Solar-Terrestrial Phys 71:112–120.  https://doi.org/10.1016/j.jastp.2008.09.035 CrossRefGoogle Scholar
  6. Behera SN, Sharma M (2010) Reconstructing primary and secondary components of PM 2.5 composition for an urban atmosphere. Aerosol Sci Technol 44:983–992.  https://doi.org/10.1080/02786826.2010.504245 CrossRefGoogle Scholar
  7. Census-India (2012) Census of India, 2011. Gov. IndiaGoogle Scholar
  8. Chowdhury S, Dey S (2016) Cause-specific premature death from ambient PM2.5 exposure in India: estimate adjusted for baseline mortality. Environ Int 91:283–290.  https://doi.org/10.1016/j.envint.2016.03.004 CrossRefGoogle Scholar
  9. CPCB (2012) National Ambient Air Quality Status & Trend in India-2010Google Scholar
  10. CPCB (2011) Air quality monitoring, emission inventory and source apportionment study for Indian cities Cent Pollut Control BOARD 225 doi: December 2010Google Scholar
  11. Deshmukh DK, Deb MK, Tsai YI, Mkoma SL (2011) Water soluble ions in PM2.5 and PM1 aerosols in Durg city, Chhattisgarh, India. Aerosol Air Qual Res 11:696–708.  https://doi.org/10.4209/aaqr.2011.03.0023 Google Scholar
  12. Directorate of Economics & Statistics (2016) Delhi statistical hand book 2016Google Scholar
  13. Eldred RA, Cahill TA, Feeney PJ (1987) Particulate monitoring at US National Parks using PIXE. Nucl Inst Methods Phys Res B 22:289–295.  https://doi.org/10.1016/0168-583X(87)90344-2 CrossRefGoogle Scholar
  14. Gadde B, Bonnet S, Menke C, Garivait S (2009) Air pollutant emissions from rice straw open field burning in India, Thailand and the Philippines. Environ Pollut 157:1554–1558.  https://doi.org/10.1016/j.envpol.2009.01.004 CrossRefGoogle Scholar
  15. Guttikunda SK, Gurjar BR (2012) Role of meteorology in seasonality of air pollution in megacity Delhi, India. Environ Monit Assess 184:3199–3211.  https://doi.org/10.1007/s10661-011-2182-8 CrossRefGoogle Scholar
  16. Hsu Y, Strait R, Beck L (2006) Speciation database development documentation final report. Off res dev US environ Prot agency res Triangle Park NC 27711 EPA/ 600/ R-06/161Google Scholar
  17. Huang RJ, Zhang Y, Bozzetti C et al (2014) High secondary aerosol contribution to particulate pollution during haze events in China. Nature 514:218–222.  https://doi.org/10.1038/nature13774 Google Scholar
  18. International Energy Agency (2016) Energy and air pollution. World Energy Outlook - Spec Rep 266. doi:  https://doi.org/10.1021/ac00256a010
  19. Jain R, Palwa K (2015) Air pollution and healthGoogle Scholar
  20. John A (2013) Alternatives to open-field burning on paddy farms. OPTIONS, Agric Food Policy Stud Institute, Malaysia 18:2009–2013Google Scholar
  21. Kaskaoutis DG, Kumar S, Sharma D et al (2014) Effects of crop residue burning on aerosol properties, plume characteristics, and long-range transport over northern India. J Geophys Res Atmos 119:5424–5444.  https://doi.org/10.1002/2013JD021350.Received CrossRefGoogle Scholar
  22. Kothai P, Saradhi IV, Pandit GG et al (2011) Chemical characterization and source identification of particulate matter at an urban site of Navi Mumbai, India. Aerosol Air Qual Res 11:560–569.  https://doi.org/10.4209/aaqr.2011.02.0017 Google Scholar
  23. Liu H-Y, Bartonova A, Schindler M et al (2013) Respiratory disease in relation to outdoor air pollution in Kanpur, India. Arch Environ Occup Health 68:204–217.  https://doi.org/10.1080/19338244.2012.701246 CrossRefGoogle Scholar
  24. Marcazzan GM, Vaccaro S, Valli G, Vecchi R (2001) Characterisation of PM10 and PM2.5 particulate matter in the ambient air of Milan (Italy). Atmos Environ 35:4639–4650.  https://doi.org/10.1016/S1352-2310(01)00124-8 CrossRefGoogle Scholar
  25. MoEFCC (2015) Notification of amended TPP rules. 2015:3–7Google Scholar
  26. Mohan M, Gupta A, Bhati S (2014) A modified approach to analyze thermal comfort classification. Atmos Clim Sci 4:7–19.  https://doi.org/10.4236/acs.2014.41002 Google Scholar
  27. Mohan M, Kandya A (2007) An analysis of the annual and seasonal trends of air quality index of Delhi. Environ Monit Assess 131:267–277.  https://doi.org/10.1007/s10661-006-9474-4 CrossRefGoogle Scholar
  28. Myllyvirta L, Dahiya S (2015) A status assessment of National Air Quality Index ( NAQI ) and pollution level assessment for Indian citiesGoogle Scholar
  29. Nagpure AS, Ramaswami A, Russell A (2015) Characterizing the spatial and temporal patterns of open burning of municipal solid waste (MSW) in Indian cities. Environ Sci Technol 49:12911–12912.  https://doi.org/10.1021/acs.est.5b03243 CrossRefGoogle Scholar
  30. Nair VS, Moorthy KK, Alappattu DP et al (2007) Wintertime aerosol characteristics over the Indo-Gangetic Plain (IGP): impacts of local boundary layer processes and long-range transport. J Geophys Res Atmos 112:1–15.  https://doi.org/10.1029/2006JD008099 Google Scholar
  31. NCRPB (2015) Annu Rep 2014-15:34Google Scholar
  32. NEERI (2008) Air quality monitoring , Emission Inventry & Source Apportionment Studies for DelhiGoogle Scholar
  33. NOAA (2013) Real-time Environmental Applications and Display sYstem: providing a unique web-based system for displaying meteorological data. Natl. Ocean. Atmos. Adm. Air Resour. LabGoogle Scholar
  34. Pant P, Shukla A, Kohl SD et al (2015) Characterization of ambient PM2.5 at a pollution hotspot in New Delhi, India and inference of sources. Atmos Environ 109:178–189.  https://doi.org/10.1016/j.atmosenv.2015.02.074 CrossRefGoogle Scholar
  35. Prasad AK, Singh RP (2007) Comparison of MISR-MODIS aerosol optical depth over the Indo-Gangetic basin during the winter and summer seasons (2000-2005). Remote Sens Environ 107:109–119.  https://doi.org/10.1016/j.rse.2006.09.026 CrossRefGoogle Scholar
  36. Ram K, Sarin MM, Sudheer AK, Rengarajan R (2012a) Carbonaceous and secondary inorganic aerosols during wintertime fog and haze over urban sites in the Indo-Gangetic Plain. Aerosol Air Qual Res 12:355–366.  https://doi.org/10.4209/aaqr.2011.07.0105 Google Scholar
  37. Ram K, Sarin MM, Tripathi SN (2010) A 1 year record of carbonaceous aerosols from an urban site in the Indo-Gangetic Plain: characterization, sources, and temporal variability. J Geophys Res Atmos.  https://doi.org/10.1029/2010JD014188
  38. Ram K, Sarin MM, Tripathi SN (2012b) Temporal trends in atmospheric PM 2.5, PM 10, elemental carbon, organic carbon, water-soluble organic carbon, and optical properties: impact of biomass burning emissions in the Indo-Gangetic Plain. Environ Sci Technol 46:686–695.  https://doi.org/10.1021/es202857w CrossRefGoogle Scholar
  39. Ram K, Tripathi SN, Sarin MM, Bhattu D (2014) Primary and secondary aerosols from an urban site (Kanpur) in the Indo-Gangetic Plain: impact on CCN, CN concentrations and optical properties. Atmos Environ 89:655–663.  https://doi.org/10.1016/j.atmosenv.2014.02.009 CrossRefGoogle Scholar
  40. Ramanathan V, Li F, Ramana MV et al (2007) Atmospheric brown clouds: hemispherical and regional variations in long-range transport, absorption, and radiative forcing. J Geophys Res Atmos 112:1–26.  https://doi.org/10.1029/2006JD008124 CrossRefGoogle Scholar
  41. Rengarajan R, Sarin MM, Sudheer AK (2007) Carbonaceous and inorganic species in atmospheric aerosols during wintertime over urban and high-altitude sites in North India. J Geophys Res Atmos 112:1–16.  https://doi.org/10.1029/2006JD008150 CrossRefGoogle Scholar
  42. Saraswat A, Kandlikar M, Brauer M, Srivastava A (2016) PM2.5 Population exposure in New Delhi using a probabilistic simulation framework. Environ Sci Technol 50:3174–3183.  https://doi.org/10.1021/acs.est.5b04975 CrossRefGoogle Scholar
  43. Sharma M, Dikshit O (2016) Comprehensive study on air pollution and green house gases (GHGs) in DelhiGoogle Scholar
  44. Sharma S, Goel A, Gupta D et al (2015) Emission inventory of non-methane volatile organic compounds from anthropogenic sources in India. Atmos Environ 102:209–219.  https://doi.org/10.1016/j.atmosenv.2014.11.070 CrossRefGoogle Scholar
  45. Srinivas B, Sarin MM (2014) PM2.5, EC and OC in atmospheric outflow from the Indo-Gangetic Plain: temporal variability and aerosol organic carbon-to-organic mass conversion factor. Sci Total Environ 487:196–205.  https://doi.org/10.1016/j.scitotenv.2014.04.002 CrossRefGoogle Scholar
  46. Tare V, Tripathi SN, Chinnam N, et al (2006) Measurements of atmospheric parameters during Indian Space Research Organization Geosphere Biosphere Program Land Campaign II at a typical location in the Ganga Basin: 2. Chemical properties. J Geophys Res Atmos 111:n/a-n/a. doi:  https://doi.org/10.1029/2006JD007279
  47. Tiwari S, Chate DM, Srivastava AK et al (2012) Assessments of PM1 , PM2.5 and PM10 concentrations in Delhi at different mean cycles. Geofizika 29:125–141Google Scholar
  48. Tiwari S, Srivastava AK, Bisht DS et al (2010) Black carbon and chemical characteristics of PM10 and PM2.5 at an urban site of North India. J Atmos Chem 62:193–209.  https://doi.org/10.1007/s10874-010-9148-z CrossRefGoogle Scholar
  49. USEPA (1999a) Compendium of methods for the determination of inorganic compounds in ambient air, compendium method IO – 3.1: Selection, preparation and extraction of filter material. Cent environ res Inf off res dev US environ Prot agency Cincinnati, OH 45268 30Google Scholar
  50. USEPA (1999b) Compendium of methods for the determination of inorganic compounds in compendium of methods for the determination of inorganic compounds in ambient air, compendium method IO-4.2: Determination of reactive acidic and basic gases and strong acidity of Atmos. Cent environ res Inf off res dev US environ Prot agency Cincinnati, OH 45268 126:20–56Google Scholar
  51. USEPA (1999c) Compendium of methods for the determination of inorganic compounds in ambient air, compendium method IO-3.4: Determination of metals in ambient particulate matter using inductively coupled plasma (ICP) spectroscopy. Cent Environ Res Inf Off Res Dev US Environ Prot Agency Cincinnati, OH 45268:20–56Google Scholar
  52. USEPA (2000) AP 42, fifth edition, Compilation of Air Pollutant Emission FactorsGoogle Scholar
  53. USEPA (1981) Overview of receptor model application to particulate source apportionment 80Google Scholar
  54. USEPA (2004) EPA-CMB8.2 Users manual. Off. Air Qual. Plan. Stand. Emiss. Monit. Anal. Div. Air Qual. Model. Group, US. Environ. Prot. Agency 123Google Scholar
  55. USEPA (2008) EPA positive matrix factorization (PMF) 3.0 Fundamentals & User GuideGoogle Scholar
  56. Watson JG, Chow JC, Chen LA (2005) Summary of organic and elemental carbon / black carbon analysis methods and IntercomparisonsGoogle Scholar
  57. WHO (2014) WHO ’ s ambient air pollution database - update 2014 data summary of the AAP database. World Heal Organ 2–7Google Scholar

Copyright information

© Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.Department of Civil Engineering, Center for Environmental Science and EngineeringIndian Institute of Technology KanpurKanpurIndia
  2. 2.Department of EnvironmentGovernment of National Capital Territory of DelhiNew DelhiIndia
  3. 3.Department of Marine, Earth and Atmospheric SciencesNorth Carolina State UniversityRaleighUSA
  4. 4.Delhi Pollution Control CommitteeGovernment of National Capital Territory of DelhiNew DelhiIndia
  5. 5.Department of Civil EngineeringInstitute of Engineering & TechnologyLucknowIndia

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