Odour impact assessment by means of dynamic olfactometry, dispersion modelling and social participation

Abstract This work discusses how it is possible to assess odour impact in presence of multiple similar sources by illustrating a case study. The study was conducted on an area of northern Italy comprising three small municipalities where four rendering plants are located near to each other. Based on the emission data resulting from olfactometric surveys conducted in different periods of the year the overall odour emission rate emitted by each plant were evaluated, showing that the major contributor to the odour impact on the territory was plant 2. These data were linked with meteorological and orographical data in order to evaluate odour dispersion with a model (Calpuff). The results of the odour dispersion modelling confirmed the outcomes of the olfactometric survey and they were further validated through a “questioning” survey, conducted with the aim of involving the population by means of questionnaires for reporting the perceived odour episodes, which showed a good correspondence (86.5%) between odour perceptions and simulated odour immissions.

[1]  James P. Lodge.  Odors from stationary and mobile sources: National Research Council, National Academy of Sciences, Washington, D.C. 20418. 1979. xvi + 491 pp. Price $20.50. Paperbound , 1980 .

[2]  N Hudson,et al.  Odour sampling 1: Physical chemistry considerations. , 2008, Bioresource technology.

[3]  S. Sironi,et al.  Design and validation of a wind tunnel system for odour sampling on liquid area sources. , 2009, Water science and technology : a journal of the International Association on Water Pollution Research.

[4]  James A. Nicell,et al.  Assessment and regulation of odour impacts , 2009 .

[5]  A Bockreis,et al.  Measurement of odour with focus on sampling techniques. , 2005, Waste management.

[6]  Richard M. Stuetz,et al.  Identifying major contributing sources to odour annoyance using a non-specific gas sensor array , 2009 .

[7]  John Leis,et al.  Quantification of odours from piggery effluent ponds using an electronic nose and an Artificial Neural Network , 2003 .

[8]  D. Blumberg,et al.  Municipal hotlines and automated weather stations as a tool for monitoring bad odour dispersion: the northern Negev case. , 2001, Journal of environmental management.

[9]  A longitudinal study of the health impacts of a petroleum refinery. , 2000, Social science & medicine.

[10]  P Gostelow,et al.  Odour measurements for sewage treatment works. , 2001, Water research.

[11]  Selena Sironi,et al.  A comparative and critical evaluation of odour assessment methods on a landfill site , 2008 .

[12]  C. Soriano,et al.  Identification of the origin of odour episodes through social participation, chemical control and numerical modelling , 2008 .

[13]  Calvin B. Parnell,et al.  Comparison of CALPUFF and ISCST3 models for predicting downwind odor and source emission rates , 2006 .

[14]  Martin Piringer,et al.  Diurnal and annual variation of the sensation distance of odour emitted by livestock buildings calculated by the Austrian odour dispersion model (AODM) , 2000 .

[15]  D. Shusterman,et al.  Critical review: the health significance of environmental odor pollution. , 1992, Archives of environmental health.

[16]  Selena Sironi,et al.  Odour emission factors for the prediction of odour emissions from plants for the mechanical and biological treatment of MSW , 2006 .

[17]  F-B Frechen,et al.  Aerodynamic performance of a low-speed wind tunnel. , 2004, Water science and technology : a journal of the International Association on Water Pollution Research.

[18]  Selena Sironi,et al.  Odour emission factors for assessment and prediction of italian rendering plants odour impact , 2007 .

[19]  James A. Nicell,et al.  Parameters for the assessment of odour impacts on communities , 2006 .

[20]  Erik Lebret,et al.  Assessing health consequences in an environmental impact assessment , 2002 .