Environmental Monitoring and Assessment

, Volume 130, Issue 1–3, pp 323–339 | Cite as

Preparation and Validation of Gridded Emission Inventory of Criteria Air Pollutants and Identification of Emission Hotspots for Megacity Delhi

Article

Abstract

Delhi is one of the many megacities struggling with punishing levels of pollution from industrial, residential, and transportation sources. Over the years, pollution abatement in Delhi has become an important constituent of state policies. In the past one decade a lot of policies and regulations have been implemented which have had a noticeable effect on pollution levels. In this context, air quality models provide a powerful tool to study the impact of development plans on the expected air pollution levels and thus aid the regulating and planning authorities in decision-making process. In air quality modeling, emissions in the modeling domain at regular interval are one of the most important inputs. From the annual emission data of over a decade (1990–2000), emission inventory is prepared for the megacity Delhi. Four criteria pollutants namely, CO, SO2, PM, and NOx are considered and a gridded emission inventory over Delhi has been prepared taking into account land use pattern, population density, traffic density, industrial areas, etc. A top down approach is used for this purpose. Emission isopleths are drawn and annual emission patterns are discussed mainly for the years 1990, 1996 and 2000. Primary and secondary areas of emission hotspots are identified and emission variations discussed during the study period. Validation of estimated values is desired from the available data. There is a direct relationship of pollution levels and emission strength in a given area. Hence, an attempt has been made to validate the emission inventory for all criteria pollutants by analyzing emissions in various sampling zones with the ambient pollution levels. For validation purpose, the geographical region encompassing the study area (Delhi) has been divided into seven emission zones as per the air quality monitoring stations using Voronoi polygon concept. Dispersion modeling is also used for continuous elevated sources to have the contributing emissions at the ground level to facilitate validation. A good correlation between emission estimates and concentration has been found. Correlation coefficient of 0.82, 0.77, 0.58 and 0.68 for CO, SO2, PM and NOx respectively shows a reasonably satisfactory performance of the present estimates.

Keywords

Emission inventory Megacity Delhi Criteria pollutants Voronoi polygon Top-down approach 

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References

  1. CORINAIR Atmospheric Emission Inventory Guidebook (2001). 2001_3/en (EEA technical report n. 30) Third ed. Copenhagen: European Environment Agency. Retrieved from: http://reports.eea.eu.int/technical_report.
  2. CSE (Centre for Science and Environment) (1996). Slow murder. A CSE publication. Centre for Science and Environment, 41, Tughlakabad Institutional Area, New Delhi, India. E-mail: cse@cseindia.org.Google Scholar
  3. DSH (Delhi Statistical Handbook) (2000). Directorate of economics and statistics. New Delhi: Govt. of NCT of Delhi.Google Scholar
  4. Du, Q., & Gunzburger, M. (2002). Grid generation and optimization based on centroidal Voronoi tessellations. Applied Mathematics and Computation, 133, 591–607.CrossRefGoogle Scholar
  5. EEA (European Environment Agency) (2000). COPERT III. Computer program to calculate emissions from road transport. Methodology and emission factors (version 2.1).Google Scholar
  6. EEA (European Environment Agency) (2001). EEA Technical Report No. 49. Joint EMEP/ESD (Economic Survey of Delhi) (2001–2002). Planning Department Government of National Capital Territory of Delhi, 6th Level, B-Wing, Delhi Secretariat, I. P. Estate. New Delhi (India). URL: http://delhiplanning.nic.in/Economic%20Survey/Ecosur2001–02/Ecosur2001–02.htm.
  7. ESD (Economic Survey of Delhi) (1999–2000). Planning Department Government of National Capital Territory of Delhi, 6th Level, B-Wing, Delhi Secretariat, I. P. Estate http://www2.toki.or.id/book/AlgDesignManual/BOOK/BOOK4/NODE187.HTM.
  8. Gurjar, B. R., van Aardenne, J. A., Lelieveld, J., & Mohan, M. (2004). Emission estimates and trends (1990–2000) for megacity Delhi and implications. Atmospheric Environment, 38, 5663–5681.CrossRefGoogle Scholar
  9. Kuhlwein, J., Wickert, B., Trukenmuller, A., Theloke, J., & Friedrich, R. (2002). Emission-modelling in high spatial and temporal resolution and calculation of pollutant concentrations for comparisons with measured concentrations. Atmospheric Environment, 36, S7–S18.CrossRefGoogle Scholar
  10. MCI (Ministry of Commerce and Industry) (2001). Handbook of industrial policy and statistics 2001. Office of the Economic advisor, Ministry of Commerce and Industry, Govt. of India, New Delhi. URL: http://eaindustry.nic.in/handout.htm.
  11. Ministry of Transport website: http://transport.delhigovt.nic.in/default.html.
  12. Mohan, M., & Dube, M. (1998). Ambient air quality assessment of sulphur dioxide over Delhi. Indian Journal of Environmental Protection, 720–728. August.Google Scholar
  13. Monforti, F., & Pederzoli, A. (2005). THOSCANE: A tool to detail CORINAIR emission inventories. Environmental Modelling & Software, 20(5), 505–508. New Delhi. URL: http://delhiplanning.nic.in/Economic%20Survey/Economic%20Survey%201999–2000.htm
  14. Okabe, A., Boots, B., & Sugihara, K. (1992). Spatial tesselations concepts and applications of Voronoi diagrams. New York: Wiley.Google Scholar
  15. Orthofer, R., & Winiwarter, W. (1998). Spatial and temporal disaggregation of emission inventories. In H. Power & J. M. Baldasano (Eds.), Air pollution emissions inventory. In J. W. S. Longhurst & H. Power (Eds.), Advances in Air Pollution (pp. 51–70), vol. 3. Southampton: Computational Mechanics Publications.Google Scholar
  16. Ritter, M., Ohr, B., & Gugele, B. (1999). Luftschadstoff-trends in Osterreich 1980–1998, BE-165. Vienna: Umweltbundesamt.Google Scholar
  17. Sturm, P. J., Blank, P., Bohler, T., Lopes, M., Mensink, C., Volta, M., et al. (2000). In P. M. Borrell & P. Borrell (Eds.), Proceedings of the EUROTRAC Symposium ’98 vol. 2 (pp. 708–709). Southampton: WIT Press.Google Scholar
  18. TERI (The Energy and Resources Institute) (1997). Environmental aspects of energy use in large Indian metropolises (p. 207). New Delhi: Tata Energy Research Institute. [TERI Project Report No. 94EM53]. Summary and Conclusions. URL: http://www.teriin.org/reports/rep06/rep0602.htm.
  19. Xia, L., & Shao, Y. (2005). Modelling of traffic flow and air pollution emission with application to Hong Kong Island. Environmental Modelling & Software, 20, 1175–1188.Google Scholar

Copyright information

© Springer Science+Business Media B.V. 2006

Authors and Affiliations

  1. 1.Centre for Atmospheric SciencesIndian Institute of TechnologyNew DelhiIndia
  2. 2.Department of Civil EngineeringIndian Institute of TechnologyRoorkeeIndia

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