Forecasting pollution

  • Michel M. Benarie
Part of the Air Pollution Problems Series book series (AIRPP)


We must distinguish quite clearly between forecast and calculation. The latter term is used to denote the operation of taking some formula (for example, plume, statistical time series, etc.) and then of substituting into this formula some assumed (for example, for the next winter season, etc.) or meteorologically forcasted parameters. The forecast, on the other hand, is a process which uses knowledge that is available a specific day (for example, past statistical record, that day’s pollution concentration, that day’s meteorological forecast, etc.) to predict (a) a time (for example, the next day, or even a given hour, etc.) and (b) a pollutant concentration for that time. The upper limit of the time span is that for which a forecasting skill can be demonstrated and might be for a few hours or a few days in advance. We exclude from forecasting the climatological estimate of long-term averages, although it is implied that they are often taken into account by the forecaster. In order to be termed a pollution forecast, the pollution concentration estimate must refer to a specific day or hour and not to a probability of occurrence within a given time span.


Wind Speed Sulphur Dioxide United States Environmental Protection Agency Skill Score Ozone Maximum 
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  1. Altshuller, A. P. (1978). Association of oxidant episodes with warm stagnating anticyclones. J. Air Pollut. Control Assoc.,28, 152–5CrossRefGoogle Scholar
  2. Benarie, M. (1971). Essai de prévision synoptique de la pollution parJ’acidité forte dans la région rouennaise. Atmos. Environ.,5, 313–26 (in French)CrossRefGoogle Scholar
  3. Benarie, M. (1972). Unpublished dataGoogle Scholar
  4. Benarie, M. (1976). Urban air pollution modeling without a computer. US Environ. Prot.Agency, Publ., No. EPA–600/4–76–055, 82 pp.Google Scholar
  5. Benarie, M., and Menard, T. (1972). Vérification pour les hivers 1969 to 1970 et 1970 to 1971 de la prévision de la pollution par l’acidité forte dans la région rouennaise. Atmos. Environ.,6, 65–7 (in French)CrossRefGoogle Scholar
  6. Boettger, C. M. (1961). Air pollution potential east of the Rocky Mountains, fall 1959. Bull. Am. Meteorol. Soc.,42, 615–20Google Scholar
  7. Boettger, C. M., and Smith, H. J. (1961). The Nashville daily air pollution forecast. Mon. Weather Rev.,89, 477–81CrossRefGoogle Scholar
  8. Bouman, D. J., and Schmidt, F. H. (1961). On the growth of ground concentration of atmospheric pollution in cities during stable atmospheric conditions. Beitr. Phys. Atmos.,33, 215–24Google Scholar
  9. Bringfelt, B. (1971). Important factors for the sulfur dioxide concentration in central Stockholm. Atmos. Environ.,5, 949–72CrossRefGoogle Scholar
  10. Brunelle, M. F., Leonard, M. J., Mosher, J. C., Macbeth, W. G., and Mullins, T. P. (1968). An analysis of ozone alerts in Los Angeles county. Tech. Serv. Div., Los Angeles County Air Pollut. Control Dist., Publ.Google Scholar
  11. Daye, R. L. (1972). Air Force Global Weather Centre air stagnation model. Air Force Global Weather Cent., Publ., No. AFGWC(DN)TN–72–6–1, 12 pp.Google Scholar
  12. Fensterstock, J. C., and Fankhauser, R. K. (1968). Thanksgiving 1966 air pollution episode in the eastern United States. Dep. Health, Educ. Welfare, US Natl Air Pollut. Control Admin., Publ., No. AP-45, 45 pp.Google Scholar
  13. Firket, J. (1931). Sur les causes des accidents survenus dans la vallée de la Meuse, lors des brouillards de décembre 1930. Bull. Acad. R. Med. Belg., 11, 683–741 (in French)Google Scholar
  14. Folz, J. M. (1974). Le réseau de surveillance et d’alarme pour la prévention de la pollution atmosphérique dans l’agglomération rouennaise. Proc. 11th Colloq. Inst. Natl Rech. Chim. Appl., Paris, May 8 to 11 1974, Paper; Water, Air Soil Pollut.,3, 431–9 (in French)Google Scholar
  15. Fu, K. S. (1968). Sequential Methods in Pattern Recognition and Machine Learning, Academic Press, New YorkGoogle Scholar
  16. Georgii, H. W., and Hoffmann, L. (1966), Beurteilung von S02—Anreicherungen in Abhängigkeit von meteorologischen Einflussgrossen. Staub, 511–13 (in German)Google Scholar
  17. Greenburg, L. (1965). Air pollution episode in New York city in 1963. Proc.58th Ann u. Meet. Air Pollut. Control Assoc., Toronto, 20–24 June 1965Google Scholar
  18. Greenburg, L., Jacobs, M. B., Field, B. M., and Braverman, M. M. (1962). Report on an air pollution incident in New York city, November 1953. US Publ. Health, Rep.,No.77, pp. 7–16CrossRefGoogle Scholar
  19. Gross, E. (1970). The national air pollution potential forecast programme. Environ. Sci. Serv. Admin., Tech. Memo., No. WBTM-NMC-47Google Scholar
  20. Gumbel, E. J. (1958). Statistics of Extremes, Columbia Univ. Press, New York, 375 ppGoogle Scholar
  21. Holzworth, G. C. (1962). A study of air pollution potential for the western United States. J. Appl. Meteorol.,1, 366–82CrossRefGoogle Scholar
  22. Holzworth, G. C. (1975). Personal communicationGoogle Scholar
  23. Horie, Y. (1975). Evaluation of episode control schemes through air quality data analysis. J. Air Pollut. Control Assoc.,25, 1148–53CrossRefGoogle Scholar
  24. Jost, D. (1970). Weather conditions with poor air exchange in the region of Frankfurt am Main. Staub,30, No. 6, 26–8Google Scholar
  25. Kanagawa Prefectural Government (1973). Air pollution forecasting in Kanagawa prefecture. Jpn. Air Pollut. Control Cent., Yokohama-Kawasaki Ind. Area, Tech. Rep., No.15, pp. 135–67Google Scholar
  26. Kauper, E. K. (1961). Problems associated with forecasting air pollution over an urban area. Tech. Serv. Div., Los Angeles County Air Pollut. Control Dist., Air Quality Rep., No. 44Google Scholar
  27. Kauper, E. K., Hartmann, D. F., and Roberts, E. G. (1964). Air pollution forecast for Los Angeles, using an objective method. Proc. 40th Annu. Meet. Am. Meteorol. Soc., 30 January 1964, PaperGoogle Scholar
  28. Kauper, E. K., and Hopper, C. J. (1966). Control of emissions through reasonable use of atmospheric dispersion, a forecast system. Proc. 59th Annu. Meet. Air Pollut. Control Assoc., San Francisco, Calif, 21 June 1966, 16 pp.Google Scholar
  29. Kawamura, T., and Kasuya, M. (1972). Meteorological forecast of photochemica smog. Proc. 13th Symp. Jpn. Soc. Air Pollut., 7 to 9 November 1972, Paper, No.10, p. 62 (in Japanese)Google Scholar
  30. Kimiyoshi, S., Takeuchi, J., Koike, K., and Koyima, I. (1973). Photochemical smog forecasting programme. Proc. 14th Meet. Jpn. Soc. Air Pollut., Fukushima, 6 to 8 November 1973, Paper, No. 44 (in Japanese)Google Scholar
  31. Kolar, J. (1969). The increase in the sulphur dioxide concentration during long-term weather situations with poor diffusion. Staub,29, No. 12, 32–5Google Scholar
  32. Korshover, J. (1967). Climatology of stagnating anticyclones east of the Rocky Mountains 1936 to 1965. Publ. Health Serv., Publ., No. 999-AP-34, 15 pp.Google Scholar
  33. Lawrence, E. N. (1967). Atmospheric pollution during spells of low-level air temperature inversion. Atmos. Environ.,1, 561–76CrossRefGoogle Scholar
  34. McAdie, H. G., and Gillies, D. K. A. (1973). The operational forecasting of undesirable pollution levels based on a combined meteorological index. J. Air Pollut. Control Assoc.,23, 941–4CrossRefGoogle Scholar
  35. Machta, L. (1970). Proc. Symp. Multiple-source Urban Diffusion Models (ed. A. C. Stern), US Environ. Prot. Agency, Publ. No. AP-86, pp. 14–16Google Scholar
  36. Marsh, A. (1963). The December smog. J. Air Pollut. Control Assoc., 13, 384–7 Miller, M. E. (1964). Semiobjective forecasting of atmospheric stagnation in the western United States. Mon. Weather Rev.,92, 23–32Google Scholar
  37. Miller, M. E. (1967). Forecasting afternoon mixing depths and transport wind speeds. Mon. Weather Rev., 95, 35–44CrossRefGoogle Scholar
  38. Miller, M. E., and Niemeyer, L. E. (1963). Air pollution potential forecasts—a year’s experience. J. Air Pollut. Control Assoc.,13, 205–10CrossRefGoogle Scholar
  39. Ministry of Health (1954). Mortality and morbidity during the London fog of December 1952. Publ. Health and Med. Subj. Rep., No. 95, HM Stationery Off.Google Scholar
  40. Nakamura, K. (1972). Forecasting of photochemical smog in south area of Kanto. Proc. 13th Symp. Jpn. Soc. Air Pollut., 7 to 9 November 1972, Paper, No. 11, p. 63.Google Scholar
  41. Nakayima, C. (1970). Forecasting atmospheric stagnation in the Kyoto basin. Bull. Disaster Prevention Rex. Inst. Kyoto Univ., 39–53 (in Japanese)Google Scholar
  42. Nakayima, C., and Tanaka, M. (1975). Atmospheric transport and dispersion of pollutants and related meteorological studies. Min. Educ., Jpn. Res. Abstr., Environ. Pollut. Control, April 1972 to March 1975, pp. 118–20Google Scholar
  43. Niemeyer, L. E. (1960). Forecasting air pollution potential. Mon. Weather Rev.,88, 88–96CrossRefGoogle Scholar
  44. Nilsson, N. J. (1965). Learning Machines, McGraw-Hill, New YorkGoogle Scholar
  45. Nogami, J., Mizoguchi, T., Nomoto, H., Ishikawa, Y., and Miyao, A. (1970). Air pollution potential forecasting. J. Jpn. Soc. Air Pollut.,5, p. 219 (in Japanese)Google Scholar
  46. Ohira, T., Ito, M., Fukuoka, S., and Udagawa, M. (1972). Research on predicting air pollution from meteorological data, report III. Tokyo Metropolitan Res. Inst. Environ. Prot., Publ., 97 pp. (in Japanese, Engl. transl. available)Google Scholar
  47. Ohta, S., and Adachi, T. (1977). Air pollution prediction method by categories to categories method. Proc. 4th Int. Clean Air Congr., Tokyo, 16 to 20 May 1977, pp. 318–21Google Scholar
  48. Ota, S. (1974). A method of sulphur dioxide air pollution weather forecasting in Otake. Air Pollut. Weather Forecast. Data,15, 83–5 (in Japanese)Google Scholar
  49. Ott, W. R., and Thom, G. C. (1976). Air pollution index systems in the United States and Canada. J. Air Pollut. Control Assoc.,26, 460–70CrossRefGoogle Scholar
  50. Oya, F., Seki, K., and Yoshida, J. (1974). Study in the environmental pollution from meteorological air pollution index. J. Jpn. Soc. Air Pollut.,9, 266 (in Japanese)Google Scholar
  51. Pollack, R. I. (1973a). Studies of pollutant concentration frequency distributions. Univ. Calif, Livermore, Calif., Thesis, 82 pp.Google Scholar
  52. Pollack, R. I. (1973b). A predictive model based on the relationship between meteorological and emission patterns and air quality. Proc. 3rd Conf. Probability and Stat. Atmos. Sci., Boulder, Colo., 19 to 22 June 1973Google Scholar
  53. Pollack, R. I. (1975). Studies of pollutant concentration frequency distribution. US Environ.Prot. Agency, Rep., No. EPA–650/4–75–004, 82 pp. (reprint of Pollack (1973b))Google Scholar
  54. Revlett, G. H. (1978). Ozone forecasting using empirical modeling. J. Air. Pollut. Control Assoc.,28, 338–43CrossRefGoogle Scholar
  55. Roberts, P. J. W., Croke, E. J., and Kennedy, A. S. (1970). Proc. Symp. Multiple-source Urban Diffusion Models (ed. A. C. Stern), US Environ. Prot. Agency, Publ. No. AP-86Google Scholar
  56. Ruff, R. E. (1974). Application of adaptive pattern classification to the derivation of relationship between air quality data. Automatic Air-monitoring Systems (ed. T. Schneider), Elsevier, Amsterdam, pp. 145–66Google Scholar
  57. Schrenk, H. H., Heimann, H., Clayton, G. D., Gafafer, W. M., and Wexler, H. (1949). Air pollution in Donora, Penna, epidemiology of the unusual smog episode of October 1948. US Publ. Health Bull., No. 306, 173 pp.Google Scholar
  58. Scott, J. A. (1963). The London fog of December 1962. Med. Officer, 109, 250 .Google Scholar
  59. Skipka, K. J., and Frankenberg, T. T. (1974)Sulphur dioxide concentration during air stagnation episodes in the Ohio valley. Proc. 67th Annu. Meet. Air Pollut. Control Assoc., Denver, Colo, 9 to 13 June 1974, Paper No. 74–68, 17 pp.Google Scholar
  60. Smith, F. B., and Jeffrey, G. H. (1972). The prediction of high concentrations of sulphur dioxide in London and Manchester air. Proc. Symp. Stat. Aspects Air Quality Data, Chapel Hill, N.C., 9 to 10 November 1972, US Environ. Prot. Agency, Publ., No. EPA–650.4–74–038, pp. 12–1–12–29Google Scholar
  61. Son’kin, L. R. (1973). Some possibilities of forecasting the concentration of contaminants in the city air. Air Pollution and Atmospheric Diffusion (ed. M. E. Berlyand), Halstead Press, New York, Isr. Programme Sci. Transl., Jerusalem, pp. 128–39Google Scholar
  62. Son’kin, L. R., and Denisova, T. P. (1969). Meteorological conditions of the formation of periods of high contamination of city air. Tr. Gl. Geofiz. Obs., No. 238, 33–41 (in Russian)Google Scholar
  63. Stackpole, J. D. (1967). The air pollution potential forecast program. Weather Bur., Natl Meteorol. Cent., Suitland, Md, Tech. Memo., No. NMC-43, 8 pp.Google Scholar
  64. United States Environmental Protection Agency (1971). Guide for air pollution episode avoidance. US Environ. Prot. Agency, Publ., No. AP-76, 139 pp.Google Scholar
  65. United States National Oceanic Atmospheric Administration (1971). Air pollution weather forecasts. US Natl Oceanic Atmos. Admin., Operations ManualGoogle Scholar
  66. Wachtenheim, A., and Keith, R. W. (1969). Forecasting ozone maxima for Los Angeles county. Proc. 62nd Annu. Meet. Air Pollut. Control Assoc., New York, 24 June 1969, Paper, No. 69–78, 27 pp.Google Scholar
  67. Wangler, T. P., and Rossin, A. D. (1973). Effectiveness of a hypothetical air pollution episode control strategy for two Chicago episodes. Argonne Nat! Lab., Publ., No. ANL/ES-24, 65 pp.Google Scholar
  68. Weedfall, R. O., and Linsky, B. (1968). A mesoclimatological classification system for air pollution engineers. Proc. 61st Annu. Meet. Air Pollut. Control Assoc., St Paul, Minn., 25 June 1968, Paper, No. 68–53, 53 pp.Google Scholar
  69. Weedfall, R. O. (1969). A mesoclimatological classification system for air pollution engineers. J.Air Pollut. Control Assoc.,19, 511–13CrossRefGoogle Scholar
  70. Wolsko, T. D., Matthies, M. T., and King, R. F. (1972). A methodology for controlling air pollution episodes. Argonne Nat! Lab., Publ., No. ANL/ES-14, 205 pp.Google Scholar
  71. World Meteorological Organisation (1972). World Meteorol. Organ., Tech Note No. 121, chapter 5, pp. 43–53Google Scholar
  72. Yoshitaka, S. (1973). Investigation on air pollution forecasting—a model for prediction of photochemical smogs in Yokkachi. Geophys. Notes Tokyo Dist. Meteorol. Obs.,6, 289–90 (in Japanese)Google Scholar

Copyright information

© Michel M. Benarie 1980

Authors and Affiliations

  • Michel M. Benarie
    • 1
  1. 1.Institut National de Recherche Chimique AppliquéeVert-le-PetitFrance

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