Postprint version. Published in Journal of the American Institute of Planners, Volume 41, Issue 5, September 1, 1975, pages 334-346.
Publisher's website: http://www.informaworld.com
NOTE: At the time of publication, the author W. David Conn was affiliated with the University of California - Los Angeles. Currently, April 2008, he is Vice Provost of Academic Programs & Undergraduate Education and Professor of City & Regional Planning at California Polytechnic State University - San Luis Obispo.
The definitive version is available at http://dx.doi.org/10.1080/01944367508977678.
This article examines one important component of the problem of implementing the federal government's Clean Air policy, namely, the difficulty of quantifying the relationship between emissions to the atmosphere and ambient air quality. Short-, middle-, and long-term control strategies are discussed with an emphasis on the information needed for their effective assessment and implementation. The requirement thus identified is compared with the information provided by air pollution models; it is shown that at their present stage of development, even the most sophisticated diffusion models are of limited usefulness in implementing current air pollution legislation. In view of the high cost of pollution control, further investment in model development is thought justifiable, though there are significant problems to be overcome. It is suggested that for the time being, panels of experts might be used to making air quality forecasts.
Urban, Community and Regional Planning