The current problems in relation to odor pollution episodes make it necessary to have methods to assess odor impacts. Such assessment can be performed using dispersion models that allow to estimate odor concentrations considering the emissions, the meteorology and the topography, among other data.

   Pollutant dispersion modeling is usually based on minimum averaging times of one hour; however, some pollutants require shorter averaging times, as it is the case of odors. Recently, the Atmospheric Research Group of the Faculty of Engineering of Bilbao has set up a methodology to perform dispersion studies using sub-hourly temporal resolution.

P. Uriarte*, V. Valdenebro, E. Sáez de Cámara, G. Gangoiti and M. Navazo.

Universidad del País Vasco / Euskal Herriko Unibertsitatea (UPV/EHU), Escuela Técnica Superior de Ingeniería de Bilbao, Alameda Urquijo s/n, 48013 Bilbao.
*puriarte002@ikasle.ehu.eus

   Odour control is an increasing concern in WWTPs. Physical/chemical end-of-the-pipe technologies for odour abatement are relatively expensive and present high environmental impacts. Biotechnologies, on the other hand, have recently emerged as cost-effective and environmentally friendly alternatives but are still limited by their investment costs and land requirements. A more desirable approach to odour control is the prevention of odorant formation.

   In WWTPs, where different biological processes take place and many streams are available, there are opportunities to re-design processes in order to minimize odour generation. This work explores two alternative strategies for odour control.

J. M. Estrada ^1,4, R. Lebrero ¹, N. J. R. Kraakman ^2,3 and R. Muñoz ^1*

1. Department of Chemical Engineering and Environmental Technology, University of Valladolid. Dr. Mergelina s/n, 47011, Valladolid, Spain.
2. Department of Biotechnology, Delft University of Technology, Julianalaan 67, 2628 BC Delft, The Netherlands.
3. CH2M Hill, Level 7, 9 Help Street, Chatswood NSW 2067, Australia.
4. Present address: School of Engineering, London South Bank University, 103 Borough Road, London SE1 0AA, United Kingdom.
Mail: mutora@iq.uva.es