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Air pollution Modeling for Human Exposure Predictions: A Review

Author Affiliations

  • 1Govt. M.L.B. College Bhopal, M.P., INDIA

Res. J. Recent Sci., Volume 3, Issue (ISC-2013), Pages 24-27, (2014)

Abstract

The aim of this study is to provide a comprehensive review with regards to recent developments, major research, computational methods and air quality models applications. The development of models for air pollution assessment has been identified as an important area for future research. Air pollution due to massive use of motor vehicles in urban areas of India is one of the most serious and fast growing problem to solve. These motor vehicles emit significant quantities of CO2, CO, hydrocarbons, oxides of nitrogen, SPM and other toxic substances in the atmosphere which adversely affect the environmental and the health. The objective of this study is to understand the chemistry of air pollution with its precise estimation through modeling. The behavior and relation between emission and deposition of pollutants can explain with the help of air quality models. Modeling is a set of different scientific methods that are helpful to analyze nature and behavior of pollutants in the atmosphere. On the basis of source of pollutants air quality models are classified as point, area or line source models. Various Gaussian based line source models are commonly used in India to assess the impact of vehicular pollution along the roads or highways. Sources of air pollution, chemistry of pollutants and computational methods for dispersion modeling are discussed and reviewed with respect to various literature and corresponding methods. The paper includes comparative study of various air quality models and study of complex phenomenon of air pollution. Recent modified air quality models and their future scope are also discussed in the paper which help for scientists who work in the same field.

References

  1. Briggs G.A., Plume Rise, USAEC Critical Review Series, (1969)
  2. Briggs, G.A., Some recent analysis of plume rise observation, Proc. Second Inter nat’l, Clean air congress, Academic press, New York, (1971)
  3. http://www.bcairquality.ca/assessment/dispersion-modeling. html (2014)
  4. http://www.bcairquality.ca/assessment/receptor-modeling. html (2014)
  5. http://www.bcairquality.ca/assessment/meteorological- modeling. html (2014)
  6. Theory and objectives of air dispersion modeling, Robert Macdonald, Ph.D., P.Eng. Department of Mechanical Engineering University of Waterloo. Modeling Air Emissions for Compliance MME 474A Wind Engineering December (2003)
  7. Mukherjee P., Viswanathan S. and Choon L.C., Modeling mobile source emissions in presence of stationary sources, J of Haz. Mat., 76(1), 23–37 (2000)
  8. Jiang W., Hu F. and Wang W., A non-hydrostatic dispersion modeling system and its application to air pollution assessments over coastal complex terrain, J of Wind Eng. and Ind.l Aerodyn., 87(1), 15–43 (2000)
  9. Borrego C., Tchepel O., Costa A.M., Amorim J. H. and Miranda A. I., Emission and dispersion modeling of Lisbon air quality at local scale, Atm. Env., 37(37), 5197–5205 (2003)
  10. Rama Krishna T.V.B.P.S., Reddy M.K., Reddy R.C. and Singh R.N., Impact of an industrial complex on the ambient air quality: Case study using a dispersion model, Atm. Env., 39(29), 5395–5407 (2005)
  11. Holmes N.S. and Morawska L. A review of dispersion modeling and its application to the dispersion of particles: An overview of different dispersion models available, Atm. Env., 40(30), 5902–5928 (2006)
  12. MoEF. Environment Impact Assessment Notification [S.O.1533, dated 14.09.2006], Ministry of Environment and Forests. Government of India, New Delhi, (2006)
  13. CPCB. Guidelines for Air Pollutants Dispersion Modeling from Point Sources. PCI-II Division, Central Pollution Control Board, East Arjun Nagar, New Delhi. (1995)
  14. Turner D.B., Workbook of atmospheric dispersion estimates: an introduction to dispersion modeling (2nd Edition ed.), CRC Press, ISBN 1-56670-023-X (1994)
  15. Amitava Bandyopadhyay, Dispersion modeling in assessing air quality of industrial projects under Indian regulatory regime International Journal of Energy and Environment (IJEE), 1(1), 97-112 (2010)
  16. www.src.com/calpuff/calpuff1.htm (2014)
  17. www.dar.csiro.au/tapm (2014)
  18. Builtjes P., The Problem – Air Pollution. Chapter 1 of air quality modeling (http://www.envirocomp.org/) and (http://www.awma.org/) (2003)
  19. Shah J.J., Nagpal T. and Brandon C., Urban Air Quality Management Strategy ea Guidebook. The World Bank, Washington DC, USA (1997)
  20. Census-India, Census of India, The Government of India, New Delhi, India (2001)
  21. Census-India, Census of India, The Government of India, New Delhi, India (2011)
  22. International Journal of Energy and Environment (IJEE), 1(1), 97-112 (2010)