Skip to main content Accessibility help
×
Hostname: page-component-78c5997874-94fs2 Total loading time: 0 Render date: 2024-11-02T20:19:39.360Z Has data issue: false hasContentIssue false

7 - Atmospheric dispersion of pollutants

Published online by Cambridge University Press:  05 July 2014

Ari Rabl
Affiliation:
Ecole des Mines, Paris
Joseph V. Spadaro
Affiliation:
Basque Centre for Climate Change, Bilbao, Spain
Mike Holland
Affiliation:
Ecometrics Research and Consulting (EMRC)
Get access

Summary

Summary

Atmospheric dispersion and chemistry is a complex subject, for which this chapter offers only a brief introduction, with focus on a special class of models that are appropriate for damage cost calculations. Such models can be relatively simple, because damage costs involve long-term averages over large areas. Gaussian plume models, suitable for the local zone, are described in some detail and equations are provided for a specific version to allow the reader to carry out calculations. Further from the source, the removal of pollutants from the atmosphere becomes important and is crucial for regional modeling. The removal rates can be expressed in terms of a velocity that we call the depletion velocity, a quantity that accounts for dry and wet deposition and, for reactive pollutants, chemical transformation. To illustrate key features of regional modeling, we develop a simple model and compare it with results from the EMEP model. We present several methods of estimating depletion velocities. We also develop a simple model for an approximate calculation of impacts and damage costs due to air pollution. It is called the “uniform world model” (UWM), because it is exact in the limit where the depletion velocity and the receptor density are uniform. We have validated the model by about 200 comparisons with detailed site-specific calculations using the EcoSense software of the ExternE projects in Europe, Asia and the Americas. For emissions from stacks of 50 m or more, detailed calculations agree with the simplest version of the UWM, within a factor of two in most cases. We provide modifications for site, stack height and receptor distribution that greatly improve the accuracy and applicability of the UWM. The UWM is very relevant for policy applications because it yields representative results for typical situations, rather than for one specific site.

Type
Chapter
Information
How Much Is Clean Air Worth?
Calculating the Benefits of Pollution Control
, pp. 212 - 317
Publisher: Cambridge University Press
Print publication year: 2014

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Amann, M., Kejun, J., Jiming, H. and others. 2008. GAINS-ASIA, Scenarios for Cost-Effective Control of Air Pollution and Greenhouse Gases in China. IIASA, Schlossplatz 1, Laxenburg, 2361, Austria.Google Scholar
Apte, J. S., Bombrun, E., Marshall, J. D. and Nazaroff, W. N. 2012. Intraurban intake fractions for primary air pollutants from vehicles and other distributed sources. Environmental Science & Technology 46: 3415–3423.CrossRefGoogle ScholarPubMed
Barrett, K. 1992. Dispersion of Nitrogen and Sulfur across Europe from Individual Grid Elements: Marine and Terrestrial Deposition. EMEP/MSC-W Note 3/92. August 1992. Norwegian Meteorological Institute, P.O.Box 43, Blindern, N-0313 Oslo 3.Google Scholar
Benarie, M. M. 1987. The limits of air pollution modeling (Editorial). Atmospheric Environment 21: 1–5.CrossRefGoogle Scholar
Beychok, M. R. 1979. How accurate are dispersion estimates? Hydrocarbon Processing October 1979.
Briggs, G. A. 1972. Discussion on chimney plumes in neutral and stable surroundings. Atmospheric Environment 6: 507–510.CrossRefGoogle Scholar
Briggs, G. A. 1975. Plume Rise Predictions. Lectures on Air Pollution and Environmental Impact Analysis, American Meteorological Society, Boston, MA, USA.Google Scholar
Briggs, G. A. 1973. Diffusion Estimation for Small Emissions. Air Resources Atmospheric Turbulence and Diffusion Laboratory, NOAA, ADTL-106, Oak Ridge, TN, USA.CrossRefGoogle Scholar
Carmichael, G. R. and Ardnt, R. 1994. Long Range Transport and Deposition of Sulfur in Asia in RAINS-ASIA: An Assessment Model for Acid Rain in Asia, Report from the World Bank sponsored project, Acid Rain and Emissions Reduction in Asia, Technical report (51 pp).
Cenedese, A., Cosemans, G., Erbrink, H. and Stubi, R. 1997. Vertical Profiles of Wind, Temperature and Turbulence. COST Action 710, Preprocessing of Meteorological Data for Dispersion Modelling, Report of Working Group 3, October 1997.
Curtiss, P. and Rabl, A. 1996. Impacts of air pollution: General relationships and site dependence. Atmospheric Environment 30: 3331–3347.CrossRefGoogle Scholar
Derwent, R. G. and Nodop, K. 1986. Long-range transport and deposition of acidic nitrogen species in north-west Europe. Nature 324: 356–358.CrossRefGoogle Scholar
Derwent, R. G., Hov, Ø., Asman, W. A. H., van Jaarsveld, J. A. and de Leeuw, F. A. A. M. 1989. An intercomparison of long-term atmospheric transport models; The budgets of acidifying species for the Netherlands. Atmospheric Environment 23(9): 1893–1909.CrossRefGoogle Scholar
Derwent, R. G., Dollard, G. J. and Metcalfe, S. E. 1988. On the nitrogen budget for the United Kingdom and North-west Europe. Quarterly Journal of the Royal Meteorological Society 114: 1127–1152.CrossRefGoogle Scholar
Dinkel, F., Pohl, C. H., Matjaz, R. and Waldeck, B. 1996. Okologische Bewertung mit der wirkungsorientierten Methode, Buwal.
Draxler, R. R. 1976. Determination of atmospheric diffusion parameters. Atmospheric Environment 10: 99–105.CrossRefGoogle Scholar
Eliassen, A. 1978. The OECD Study of Long-Range Transport of Air Pollutants: Long-Range Transport Modeling. Atmospheric Environment 12: 479–487.CrossRefGoogle Scholar
ExternE 2005. ExternE: Externalities of Energy, Methodology 2005 Update. Edited by Bickel, P. and Friedrich, R.. Published by the European Commission, Directorate-General for Research, Sustainable Energy Systems. Luxembourg: Office for Official Publications of the European Communities. ISBN 92-79-00429-9.Google Scholar
ExternE 2008. With this reference we cite the methodology and results of the NEEDS (2004–2008) and CASES (2006–2008) phases of ExternE. For the damage costs per kg of pollutant and per kWh of electricity we cite the numbers of the data CD that is included in the book edited by Markandya, A., Bigano, A. and Porchia, R. in 2010: The Social Cost of Electricity: Scenarios and Policy Implications. Edward Elgar Publishing Ltd, Cheltenham, UK. They can also be downloaded from (although in the latter some numbers have changed since the data CD in the book).Google Scholar
Feliciano, M. S., Pio, C. A. and Vermeulen, A. T. 2001. Evaluation of SO2 dry deposition over short vegetation in Portugal. Atmospheric Environment 35: 3633–3643.CrossRefGoogle Scholar
Gifford, F. A. 1975. Lectures on Air Pollution and Environmental Impact Analyses, Haugen, D. A. (Editor), American Meteorological Society, September 1975.Google Scholar
Gifford, F. A. 1961. Use of routine meteorological observations for estimating the atmospheric dispersion. Nuclear Safety 2(4): 47–57.Google Scholar
Green, A. E., Singhal, R. P. and Venkateswar, R. 1980. Analytic extensions of the Gaussian Plume Model. Journal of the Air Pollution Control Association (JAPCA) 30(7): 773–776.CrossRefGoogle Scholar
Gualtieri, G. and Secci, S. 2011. Comparing methods to calculate atmospheric stability-dependent wind speed profiles: A Case Study on Coastal Location. Renewable Energy 36(8): 2189–2204.CrossRefGoogle Scholar
Hao, J, Wang, L., Shen, M.Li, L. and Hu, J. 2007. Air quality impacts of power plant emissions in Beijing. Environmental Pollution 147: 401–408.CrossRefGoogle ScholarPubMed
Hanna, S. R. et al. 1977. AMS Workshop on stability classification schemes and sigma curves – Summary of Recommendations. Journal of Climate and Applied Meteorology 58(12):1305–1309.Google Scholar
Hirschberg, S., Heck, T., Gantner, U. et al. 2004. Health and Environmental Impacts of China’s Current and Future Electricity Supply, with Associated External Costs. Special Issue on China’s Energy Economics and Sustainable Development in the 21st Century, International Journal of Global Energy Issues, Wei, Y. M., Tsai, H. T., Chen, C. H., Guest Editors, Volume 22 (2/3/4), InderScience Publishers 2004.CrossRefGoogle Scholar
Hsu, S. A. 1982. Determination of the power-law wind profile exponent on a tropical coast. Journal of Applied Meteorology 21: 1187–1190.2.0.CO;2>CrossRefGoogle Scholar
IES 2005. Integrated Environmental Strategies, Energy Options and Health Benefit – Beijing Case Study. Report by NREL, USA, Department of Environmental Science, Tsinghua University, China, School of Public Health, Peking University, China and School of Public Health, Yale University, USA, Nov 2005. IES Program Google Scholar
Irwin, J. S. 1979. Estimating Plume Dispersion – A Recommended Generalized Scheme. Presented at the 4th AMS Symposium on Turbulence and Diffusion, Reno, Nevada, USA.
Jolliet, O. and Crettaz, P. 1997. Fate coefficients for the toxicity assessment of air pollutant. International Journal of Life Cycle Assessment 2(2): 104–110.CrossRefGoogle Scholar
Khoder, M. I. 2002. Atmospheric conversion of sulfur dioxide to particulate sulfate and nitrogen dioxide to particulate nitrate and gaseous nitric acid in an urban area. Chemosphere 49: 675–684.CrossRefGoogle Scholar
Krewitt, W., Heck, T. and Friedrich, R. 1999. Environmental damage costs from fossil electricity generation in Germany and Europe. Energy Policy 27(4): 173–183.CrossRefGoogle Scholar
Krewitt, W.Trukenmueller, A., Mayerhofer, P. and Friedrich, R. 1995. ECOSENSE – An Integrated Tool for Environmental Impact Analysis, in Kremers, H. and Pillmann, W. (Ed.), Space and Time in Environmental Information Systems, Umwelt-Informatik aktuell, Band 7, Metropolis-Verlag, Marburg.Google Scholar
Lee, and Watkiss, . 1998. Working Paper for the ExternE Project of the European Commission.
Levy, J., Spengler, J. D., Hlinka, D., Sullivan, D. and Moon, D. 2002. Using CALPUFF to evaluate the impacts of power plant emissions in Illinois: Model Sensitivity and Implications. Atmospheric Environment 36: 1063–1075.CrossRefGoogle Scholar
Levy, J., Wolff, S. K. and Evans, J. S. 2002. A regression-based approach for estimating primary and secondary particulate matter intake fractions. Risk Analysis 22(5): 895–904.CrossRefGoogle ScholarPubMed
Luhar, A. K. 1998. An analytical slab model for the growth of the coastal thermal internal boundary layer under near-neutral onshore flow conditions. Boundary-Layer Meteorology 88: 102–120.CrossRefGoogle Scholar
Luria, M, Imhoff, R. E., Valente, R. J., Parkhurst, W. J. and Tanner, R. L. 2001. Rates of conversion of sulfur dioxide to sulfate in a scrubbed power plant plume. Journal Air Waste Management Association 51: 1408–1413.CrossRefGoogle Scholar
McElroy, J. L. 1969. A comparative study of urban and rural dispersion. Journal of Applied Meteorology 8(1): 19.2.0.CO;2>CrossRefGoogle Scholar
McElroy, J. L. and Pooler, F. 1968. The St. Louis Dispersion Study, Vol. II-Analysis, US EPA Publication AP-53, December 1968.
McMullen, R. W. 1975. The change of concentration standard deviations with distance. Journal of the Air Pollution Control Association (JAPCA), October 1975.
Miyakawa, T., Takegawa, N. and Kondo, Y. 2007. Removal of sulfur dioxide and formation of sulfate aerosol in Tokyo. Journal of Geographical Research 112, D13209.Google Scholar
Nicholson, K. W. 1988. The dry deposition of small particles: A review of experimental measurements. Atmospheric Environment 22: 2653–2666.CrossRefGoogle Scholar
Panofsky, H. A. and Dutton, J. A. 1984. Atmospheric Turbulence. John Wiley & Sons, Inc. New York.Google Scholar
Pasquill, F. 1961. The estimation of the dispersion on windborne material. Meteorological Magazine 90: 33–49.Google Scholar
Rabl, A. 1985. Active Solar Collectors and Their Applications. Oxford University Press, New York.Google Scholar
Sandness, H. 1993. Calculated Budgets for Airborne Acidifying Components in Europe, EMEP/MSC-W Report 1/93 (July 1993), Norwegian Meteorological Institute, P.O. Box 43, Blindern, N-0313, Oslo 3.Google Scholar
Scire, J. S., Strimaitis, D. G. and Yamartino, R. J. 2000. A user’s guide for the CALPUFF dispersion model (Ver. 5), Earth Tech Inc.Google Scholar
Sehmel, G. 1980. Particle and gas dry deposition: a review. Atmospheric Environment 14: 983.CrossRefGoogle Scholar
Seinfeld, J. H. and Pandis, S. N. 1998. Atmospheric Chemistry and Physics: from Air Pollution to Climate Change, John Wiley & Sons, Inc., New York.Google Scholar
Smedman-Högström, A. S. and Högström, U. 1978. A practical method for determining wind frequency distributions for the lowest 200 m from routine meteorological data. Journal of Applied Meteorology, 17: 942–54.2.0.CO;2>CrossRefGoogle Scholar
Smith, M. E. 1968. Recommended Guide for the Prediction of the Dispersion of Airborne Effluents, 1st Edition. American Society of Mechanical Engineers, New York, USA.Google Scholar
Spadaro, J. V. 1999. Quantifying the Damages of Airborne Pollution: Impact Models, Sensitivity Analyses and Applications. Ph.D. Doctoral Thesis, Ecole des Mines de Paris, Boulevard St. Michel, 60, Paris Cedex 06, F75272.
Spadaro, J. V. and Rabl, A. 2005. Dispersion Models for Time-Averaged Collective Air Pollution Exposure: An Estimation of Uncertainties. Centre Energétique et Procédés, Ecole des Mines (ARMINES), 60 Boulevard St. Michel, Paris, France.Google Scholar
Spadaro, J. V. and Rabl, A. 2004. Pathway analysis for population-total health impacts of toxic metal emissions. Risk Analysis 24(5): 1121–1141.CrossRefGoogle ScholarPubMed
Spadaro, J. V. and Rabl, A. 2002. Assessing the Health Impacts due to Airborne Emissions: The AirPacts Model. Probability Safety Assessment and Management Conference, San Juan, Puerto Rico, June 23–28, 2002.Google Scholar
Spadaro, J. V. and Rabl, A. 1999. Estimates of real damage from air pollution: site dependence and simple impact indices for LCA. International J. of Life Cycle Assessment 4(4): 229–243.CrossRefGoogle Scholar
Tarrasón, L, Fagerli, H., Jonson, J. E. et al. 2004. Transboundary Acidification, Eutrophication and Ground Level Ozone in Europe. EMEP/MSC-W, Norwegian Meteorological Institute, EMEP Status Report 2004, ISSN 0806-4520.Google Scholar
Touma, J. S. 1977. Dependence of the wind profile law on stability for various locations. Journal of the Air Pollution Control Association (JAPCA), September 1977.CrossRefGoogle Scholar
Turner, D. B. 1970. Workbook of Atmospheric Dispersion Estimates, US EPA, Research Triangle Park, NC, USA. Publication AP-26 (NTIS PB191-482).Google Scholar
Underwood, B. 2001. Review of deposition velocity and washout coefficient. Technical report, AEA Technology.
US Environmental Protection Agency (EPA). 2011. Exposure Factors Handbook: 2011 Edition. Office of Research and Development, Washington, DC 20460, USA. EPA/600/R-090/052F.Google Scholar
US Environmental Protection Agency (EPA). 1998a. A Comparison of CALPUFF with ISC3. Office of Air Quality, Planning and Standards, Research Triangle Park, NC, USA. EPA-454/R-98-020, Dec 1998.Google Scholar
US Environmental Protection Agency (EPA). 1998b. A Comparison of CALPUFF modeling Results to Two Tracer Field Experiments. Office of Air Quality, Planning and Standards, Research Triangle Park, NC, USA. EPA-454/R-98-009, Jun 1998.Google Scholar
US Environmental Protection Agency (EPA) 1995. User’s Guide for the Industrial Source Complex (ISC3) Dispersion Models, Volume II – Description of Model Algorithms, Office of Air Quality Planning and Standards, Emissions, Monitoring and Analysis Division, Research Triangle Park, NC, USA, EPA-454/B-95-003b.Google Scholar
US Environmental Protection Agency (EPA) 1989. User’s Guide to the CTDM Meteorological Preprocessor Program, Atmospheric Research and Exposure Assessment Laboratory, Research Triangle Park, NC, USA, EPA/600/8-88/004.Google Scholar
US Nuclear Regulatory Commission (US NRC) 1972. On-Site Meteorological Programs, Regulatory Guide 1.23 (Safety Guide 23), February 1972.
Vogt, K. J. 1977. Empirical investigations of the diffusion of waste air plumes in the atmosphere, Nuclear Technology 34: 43–57 (June 1977).CrossRefGoogle Scholar
West, J. J., Ansari, A. S. and Pandis, S. N. 1999. Marginal PM2.5: Nonlinear aerosol mass response to sulfate reductions in the eastern United States. Journal of the Air and Waste Management Association 49: 1415–1424.CrossRefGoogle ScholarPubMed
Zannetti, P. 1990. Air Pollution Modeling. Theories, Computational Methods and Available Software, Van Nostrand-Reinhold.CrossRefGoogle Scholar
Zhou, Y, Levy, J. I., Evans, J. S. and Hammitt, J. K. 2006. The influence of geographic location on population exposure to emissions from power plants throughout China. Environment International 32: 365–373.CrossRefGoogle ScholarPubMed
Zhou, Y., Levy, J. I., Hammitt, J. K. and Evans, J. S. 2003. Estimating population exposure to power plant emissions using CALPUFF: A case study in Beijing, China. Atmospheric Environment 37: 815–826.CrossRefGoogle Scholar

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×