A fluctuating plume dispersion model for the prediction of odour-impact frequencies from continuous stationary sources |
| |
| Institution: | 1. Environmental Engineering, Union Gas Limited, Chatham, Ont., Canada N7M 5M1;2. Department of Civil and Environmental Engineering, University of Windsor, 401 Sunset Avenue, Windsor, Ont., Canada N9B 3P4;1. Department of Mathematics, Shahrood University of Technology, Shahrood, Iran;2. Department of Mathematics, Islamic Azad University, Science and Research Branch, Tehran, Iran;1. German Aerospace Center (DLR), Institute of Solar Research, Paseo de Almería 73, 04001 Almería, Spain;2. Departamento de Ingeniería Eléctrica y Térmica, Universidad de Huelva, Campus de La Rábida, Carretera de Palos de la Frontera S/N 21071 La Rábida, Palos de la Frontera (Huelva), Spain;3. Dept of Mechanical and Aerospace Engineering, UCSD Center for Energy Research, University of California, 92093-0411 La Jolla, USA;4. CIEMAT, Energy Department – Renewable Energy Division, Av. Complutense, 40, 28040 Madrid, Spain;5. Energy Meteorology Unit, Energy and Semiconductor Research Laboratory, Institute of Physics – Oldenburg University, 26111 Oldenburg, Germany;6. German Aerospace Center (DLR), Institute of Solar Research, Linder Höhe, 51147 Cologne, Germany |
| |
| Abstract: | A fluctuating plume dispersion model has been developed to facilitate the prediction of odour-impact frequencies in the communities surrounding elevated point sources. The model was used to predict the frequencies of occurrence of odours of various magnitudes for 1 h periods. In addition, the model predicted the maximum odour level. The model was tested with an extensive set of data collected in the residential areas surrounding the paint shop of an automotive assembly plant. Most of the perceived odours in the vicinity of the 64, 46 m high stacks ranged between 2 and 7 odour units and generally persisted for less than 30 s. Ninety-eight different field determinations of odour impact frequencies within 1 km of the plant were conducted during the course of the study. To simplify evaluation, the frequencies of occurrence of different odour levels were summed to give the total frequency of occurrence of all readily detectable (>2 OU) odours. The model provided excellent simulation of the total frequencies of occurrence where the odour was frequent (i.e. readily detectable more than 30% of the time). At lower frequencies of occurrence the model prediction was poor. The stability class did not seem to affect the model's ability to predict field frequency values. However, the model provided excellent predictions of the maximum odour levels without being sensitive to either stability class or distance from the source. Ninety-five percent of the predicted maximum values were within a factor of two of the measured field maximum values. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
