The simple box model for long-term averages
Part of the Air Pollution Problems Series book series (AIRPP)
It was pointed out by Gifford and Hanna (1973, where further references may be found) and Hanna (1971) that, if equation 6.1 is applied to yearly, seasonal, etc., averages that is, to long-term averages, the estimates for the pollutant concentrations compare favourably with those obtained from other models. Writing equation 6.1 aswhere Qtot is the total yearly, seasonal, etc., pollutant emission of the source, A is the area within which the pollutant is being emitted and ū is the yearly, seasonal, etc., average wind velocity and using published average urban pollutant concentrations, Gifford and Hanna obtained table 12.1.
KeywordsSulphur Dioxide Average Wind Velocity Climatological Average Sulphur Dioxide Concentration Elevated Point Source
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Unable to display preview. Download preview PDF.
- Fensterstock, J. C., Goodman, K., and Duggan, G. M. (1969). The development and utilisation of an air quality index. Proc. 62nd Annu. Air Pollut. Control Assoc., New York, N.Y., 22 to 26 June 1969Google Scholar
- Fortak, H. G. (1970). Numerical simulation of the temporal and spatial distribution of air pollution concentrations. Proc. Symp. Multiple–source Urban Diffusion Models (ed. A. Stern), US Environ. Prot. Agency, Publ., No. AP–86, pp. 9–1–9–33Google Scholar
- Gifford, F. A., and Hanna, S. R. (1971). Urban air pollution modelling. Proc. 2nd Clean Air Congr., Washington, D.C., 6 to 11 December 1970 (eds H. M. Englund and W. T. Beery), Academic Press, New York, pp. 1146–51Google Scholar
- Hideki, K. (1971). Statistical model for estimation of air pollution. Tokyo Metropolitan Res. Int. Environ. Prot. Annu. Rep., 2, 331–7Google Scholar
- Martin, D. O., and Tikvart,J. A. (1968). A general atmospheric diffusion model for estimating the effects of one or more sources on air quality. Proc. 61st Annu. Meet. Air Pollut. Control Assoc., St Paul, Minn., June 1968, Air Pollut. Control Assoc., Publ. No. APCA-68–148Google Scholar
- Park, K. Y. (1972). An extension of the simple mathematical model by Gifford and Hanna for the estimation of urban air pollution. Atmos. Turbulence and Diffusion Lab., Oak Ridge, Tenn., Publ., No. ATDL 60, 15 pp.Google Scholar
- Smalley, C. (1957). A survey of air flow patterns in San Francisco Bay area. Natl Weather Serv. Forecast Cent., Redwood City, Calif, Rep. UnpublishedGoogle Scholar
- Smith, M. E. (1961). The concentration and residence times of pollutants in the atmosphere. Proc. Int. Symp. Chem. Reactions Lower and Upper Atmos., San Francisco, Stanford Res. Inst., Adv. Papers, pp. 273–86Google Scholar
- Thuillier, R. H. (1973). A regional air pollution modelling system for practical application in land use planning studies. Bay Area Air Pollut. Control Dist., San Francisco, Calif., Preprint, 25 pp.Google Scholar
- United States National Air Pollution Control Administration (1968a). Report for Consultation. Dep. Health, Educ. Welfare, US Nail Air Pollut. Admin., Publ. (Separate reports were published covering each of the cities listed in table 12. 1 )Google Scholar
- United States National Air Pollution Control Administration(1968b). Air quality data from the national air surveillance networks and contributing state and local networks. Dep. Health, Educ. Welfare, US Natl Air Pollut. Control Admin., Publ. 157 pp. (1966 edition, Natl Tech. Inf. Serv. No. NTIS PB-195155)Google Scholar
- United States National Air Pollution Control Administration(1969). Report for consultation. Dep. Health, Educ. Welfare, US Nat/ Air Pollut.Admin., Publ. (Separate reports were published covering each of the cities listed in table 12.1)Google Scholar
© Michel M. Benarie 1980