This study presents several results related to the odorous impact derived from organic waste treatment and management plants carried out by the research group. Different raw materials were selected to evaluate the odorous impact and its relationship with their physico-chemical characterization or operational variables. Statistical evaluation through Principal Component Analysis (PCA) groups the odor by its origin or raw material.
In addition, the analysis allows relating the odor with the operational variables, being the odor emission rate (OER, ouE/s) and dynamic respirometric index (DRI, mg O2/gVS·h) the most influential variables in sample variance. NIR technology has demonstrated to be a useful tool to differentiate the chemical composition of the substrates.
M. Toledo, M.C. Gutiérrez*, A.F. Chica, J.A. Siles, M.A. Martín
Universidad de Córdoba. Facultad de Ciencias. Departamento de Química Inorgánica e Ingeniería Química (Área de Ingeniería Química). Campus Universitario de Rabanales. Carretera N-IV, km 396, Edificio Marie Curie, 14071 Córdoba, Spain. *iq2masam@uco.es
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: M. Toledo, M.C. Gutiérrez, A.F. Chica, J.A. Siles , M.A. Martín, 2017, Evaluation of the odorous impact and monitoring of the composting process of different raw material, IV International Conference of Odours and VOCs in the Environment, Valladolid, 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:978-84-697-7359-8
Keyword: dynamic respirometry; dynamic olfactometry; odor emission rate; chemometric analysis; NIR spectroscopy; dispersion model.
Abstract
Among the studies carried out by the research group, several results related to the odorous impact derived from organic waste treatment and management plants have been selected. Different raw materials were selected to evaluate the odorous impact and its relationship with their physico-chemical characterization or operational variables. Statistical evaluation through Principal Component Analysis (PCA) groups the odor by its origin or raw material.
In addition, the analysis allows relating the odor with the operational variables, being the odor emission rate (OER, ouE/s) and dynamic respirometric index (DRI, mgO2/gVS·h) the most influential variables in sample variance. NIR technology has demonstrated to be a useful tool to differentiate the chemical composition of the substrates.
Furthermore, dynamic olfactometry has been used to detect critical points, in terms of odor impact of a waste treatment plant, which can be related to the concentration and stability of organic matter. In addition, taking into account meteorological conditions such as temperature, direction and wind velocity, the odorous impact has been predicted in adjacent areas by dispersion models.
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