Appropriateness of selecting different averaging times for modelling chronic and acute exposure to environmental odours |
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| Institution: | 1. Integrated Waste Management Centre, Sustainable Systems Department, School of Applied Sciences, Cranfield University, Cranfield, Bedfordshire MK43 0AL, UK;2. Waste Recycling Group, 900 Pavilion Drive, Northampton Business Park, Northampton NN4 7RG, UK;3. Air Science Team, Environment Agency, Olton Court, 10 Warwick Road, Olton, Solihull B92 7HX, UK;4. Silsoe Odours Ltd, Wrest Park, Silsoe MK45 4HS, UK;1. Public Health Laboratory of Valencia -FISABIO, Av. Catalunya, 21, 46020 Valencia, Spain;2. Research Institute for Pesticides and Water, University Jaume I, Avda Sos Baynat s/n, 12071 Castellón, Spain;3. Department of Analytical Chemistry, University of Valencia, Doctor Moliner 50, 46100 Burjassot, Spain;1. University of Washington, School of Public Health, Department of Environmental and Occupational Health Sciences, Seattle, WA, USA;2. San Diego Prevention Research Center, San Diego, CA, USA;3. San Diego State University, Graduate School of Public Health, San Diego, CA, USA;4. Casa Familiar, San Ysidro, CA, USA;1. Centro Universitario de la Defensa, Academia General Militar, 50090 Zaragoza, Spain;2. Department of Environmental Engineering, University of Vigo, Campus Lagoas Marcosende, 36310 Vigo, Spain;3. Department of Mathematics, University of Oviedo, C. Independencia 13, 33004 Oviedo, Spain;1. Central Institute for Meteorology and Geodynamics, Hohe Warte 38, A-1190 Vienna, Austria;2. WG Environmental Health, Department of Biomedical Sciences, University of Veterinary Medicine Vienna, Veterinärplatz 1, A-1210 Vienna, Austria |
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| Abstract: | Odour emissions are episodic, characterised by periods of high emission rates, interspersed with periods of low emissions. It is frequently the short term, high concentration peaks that result in annoyance in the surrounding population. Dispersion modelling is accepted as a useful tool for odour impact assessment, and two approaches can be adopted. The first approach of modelling the hourly average concentration can underestimate total odour concentration peaks, resulting in annoyance and complaints. The second modelling approach involves the use of short averaging times. This study assesses the appropriateness of using different averaging times to model the dispersion of odour from a landfill site. We also examine perception of odour in the community in conjunction with the modelled odour dispersal, by using community monitors to record incidents of odour. The results show that with the shorter averaging times, the modelled pattern of dispersal reflects the pattern of observed odour incidents recorded in the community monitoring database, with the modelled odour dispersing further in a north easterly direction. Therefore, the current regulatory method of dispersion modelling, using hourly averaging times, is less successful at capturing peak concentrations, and does not capture the pattern of odour emission as indicated by the community monitoring database. The use of short averaging times is therefore of greater value in predicting the likely nuisance impact of an odour source and in framing appropriate regulatory controls. |
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