Odour Sources in a Conventional Sewage Treatment

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sesion01 pagans01 Custom   Odour generation is an inherent side product of waste water storage and treatment. Encroachment of developments in the proximity of sewage treatment works increases the risk of adverse odour impact on receptors.

   Quantification of individual odorous processes helps operators understand which aspects of their works may be responsible and offers opportunities to find solutions to problems that may exist.

E. Pagans1 and I. González

1 (Estel·la Pagans).
Parc de Recerca UAB, Edificio EUREKA Espacio P2M2, 08193 Bellaterra.
Tel: 935 929 048 Barcelona. (www.odournet.com)

   Competing interests: The author has declared that no competing interests exist.

   Academic editor: Carlos N Díaz.

   Content quality: This paper has been peer reviewed by at least two reviewers. See scientific committee here

   Citation: E. Pagans y I. González, 2015, Odour sources in convencional sewage treatment, III International Conference of Odours in the Environment, Bilbao, Spain, www.olores.org

   Copyright: 2015 olores.org. Open Content Creative Commons license. It is allowed to download, reuse, reprint, modify, distribute, and/or copy articles in olores.org website, as long as the original authors and source are cited. No permission is required from the authors or the publishers.

   ISBN: 978-84-608-2262-2.

   Keyword: EN 13725, WWTP, BAT

Abstract

   Odour generation is an inherent side product of waste water storage and treatment. Encroachment of developments in the proximity of sewage treatment works increases the risk of adverse odour impact on receptors. Quantification of individual odorous processes helps operators understand which aspects of their works may be responsible and offers opportunities to find solutions to problems that may exist. Three UK based sites are used as a case study to compare real world examples and these highlight that variations are expected from site to site. Results also demonstrate how routine odour control system testing can be used to proactively identify performance issues.

 

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