Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12104/66297
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dc.contributor.authorMendez-Acosta, H.O.
dc.contributor.authorHernandez-Martinez, E.
dc.contributor.authorJauregui-Jauregui, J.A.
dc.contributor.authorAlvarez-Ramirez, J.
dc.contributor.authorPuebla, H.
dc.date.accessioned2015-11-19T18:51:11Z-
dc.date.available2015-11-19T18:51:11Z-
dc.date.issued2013
dc.identifier.urihttp://hdl.handle.net/20.500.12104/66297-
dc.description.abstractEfficient monitoring and control schemes are mandatory in the current operation of biological wastewater treatment plants because they must accomplish more demanding environmental policies. This fact is of particular interest in anaerobic digestion processes where the availability of accurate, inexpensive, and suitable sensors for the on-line monitoring of key process variables remains an open problem nowadays. In particular, this problem is more challenging when dealing with batch processes where the monitoring strategy has to be performed in finite time, which limits the application of current advanced monitoring schemes as those based in the proposal of nonlinear observers (i.e., software sensors). In this article, a fractal time series analysis of pH fluctuations in an anaerobic sequential batch reactor (AnSBR) used for the treatment of tequila vinasses is presented. Results indicated that conventional on-line pH measurements can be correlated with off-line determined key process variables, such as COD, VFA and biogas production via some fractality indexes. © 2013 Wiley Periodicals, Inc.
dc.titleMonitoring anaerobic sequential batch reactors via fractal analysis of pH time series
dc.typeArticle
dc.identifier.doi10.1002/bit.24838
dc.relation.ispartofjournalBiotechnology and Bioengineering
dc.relation.ispartofvolume110
dc.relation.ispartofissue8
dc.relation.ispartofpage2131
dc.relation.ispartofpage2139
dc.subject.keywordAnaerobic sequential batch reactors; Fractal analysis; On-line monitoring; Tequila vinasses; Wastewater treatment
dc.contributor.affiliationMéndez-Acosta, H.O., Departamento de Ingeniería Química, CUCEI-Universidad de Guadalajara, Boulevard M., García Barragán 1451, Guadalajara-Jal. 44430, Mexico; Hernandez-Martinez, E., Programa de Matemáticas Aplicadas y Computación, Instituto Mexicano del Petróleo, Gustavo A. Madero, México DF, Mexico; Jáuregui-Jáuregui, J.A., Departamento de Ingeniería Química, CUCEI-Universidad de Guadalajara, Boulevard M., García Barragán 1451, Guadalajara-Jal. 44430, Mexico; Alvarez-Ramirez, J., Departamento de Ingeniería de Procesos, Universidad Autónoma Metropolitana-Iztapalapa, Iztapalapa, México DF, Mexico; Puebla, H., Departamento de Energía, Universidad Autónoma Metropolitana-Azcapotzalco, Azcapotzalco, México DF, Mexico
dc.subject.headingIndex Medicus;Anaerobiosis;Bioreactors/mi [Microbiology];Hydrogen-Ion Concentration;Industrial Waste;Time Factors;Waste Water/mi [Microbiology]
dc.relation.isReferencedByScopus
dc.relation.isReferencedByWOS
dc.relation.isReferencedByMEDLINE
dc.identifier.urlhttp://www.scopus.com/inward/record.url?eid=2-s2.0-84879604399&partnerID=40&md5=adc5e3de159fbf2d26067fb2bd550e99
dc.identifier.urlhttp://ovidsp.ovid.com/ovidweb.cgi?T=JS&CSC=Y&NEWS=N&PAGE=fulltext&D=medl&AN=23322618
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