Odor is acknowledged as a major community air pollution nuisance, but the problems of analysis, particularly in identifying the origin of odor, are also well recognised. One approach to the problem has been the development of computational schemes which use wind directions at the times of odor observations to locate the likely source of odor. An earlier technique, PONG, has now been superseded by a more sophisticated version, PONG2, which incorporates Gaussian plume modeling techniques. This paper describes the operation of PONG2 in the odor source mapping mode and provides an analysis of the insensitivity of the tèchnique to errors In input. Then, using specific Australian examples of community odor nuisance emanating from a large sewage treatment complex near Melbourne, and an irrigated golf course within metropolitan Darwin, the paper outlines the utility of PONG2 in resolving problem odor sources at a range of scales and levels of complexity.
|Number of pages||9|
|Journal||Journal of the Air and Waste Management Association|
|Publication status||Published - 1 Jan 1991|