A sensitivity study of separation distances calculated with the Austrian Odour Dispersion Model (AODM) |
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| Institution: | 1. Central Institute for Meteorology and Geodynamics, Hohe Warte 38, A-1190 Vienna, Austria;2. Institute of Medical Physics and Biostatistics, University of Veterinary Medicine Vienna, Veterinärplatz 1, A-1210 Vienna, Austria;1. University of Eastern Piedmont, Viale Teresa Michel 11, Alessandria, Italy;2. ISAC-CNR, Corso Fiume 4, 10133, Torino, Italy;3. Air Quality Control, Government of Styria, Landhausgasse 7, 8010, Graz, Styria, Austria;1. Enviro Nuclear Services, LLC, NV, USA;2. Department of Public Health, China Medical University, Taichung 404, Taiwan;3. Department of Health Risk Management, China Medical University, Taichung 404, Taiwan;1. Department of Chemical and Material Engineering, Shahrood University of Technology, Shahrood, 3619995161, Iran;2. Department of Chemical Engineering, Isfahan University of Technology, Isfahan, 8415683111, Iran;1. Zhejiang Provincial Key Laboratory of Solid Waste Treatment and Recycling, School of Environmental Science and Engineering, Zhejiang Gongshang University, Hangzhou 310012, China;2. College of Quality and Safety Engineering, China Jiliang University, Hangzhou 310018, China;3. School of Civil Engineering and Architecture, Zhejiang University of Science and Technology, Hangzhou 310023, China |
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| Abstract: | The Austrian Odour Dispersion Model (AODM) is a Gaussian model adapted for the prediction of odour sensation. It estimates the daily and seasonal variation of the odour emission, the average, ambient odour concentration and the momentary (peak) concentration for the time-interval of a single human breath (approx. 5 s). Peak concentrations, further downwind, are modified by use of an exponential attenuation function for which the ratios of the standard deviations of the wind components to the average wind speed have either to be taken from the literature or to be calculated, e.g. from ultrasonic anemometer data.AODM calculates direction-dependent separation distances for a combination of odour threshold and exceedence probability, which are a function of the prevailing wind velocity and atmospheric stability conditions. Meteorological time series from one site in Styria in southern Austria and one site in the Austrian flatlands, North of the Alps, both rural, are used for a sensitivity study of separation distances. One aspect is, how two different schemes to determine atmospheric stability influence the separation distances. Another source of uncertainty of the calculated separation distances results from the use of measured or literature values for the ratios mentioned above. Decisions on which schemes or ratios to be used have a decisive influence on the separation distances. |
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