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Modeling the decay of nitrite oxidizing bacteria under different reduction potential conditions

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Modeling the decay of nitrite oxidizing bacteria under different reduction potential conditions

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dc.contributor.author Ruiz Martinez, Ana es_ES
dc.contributor.author Claros Bedoya, Javier Alfonso es_ES
dc.contributor.author Serralta Sevilla, Joaquín es_ES
dc.contributor.author Bouzas Blanco, Alberto es_ES
dc.contributor.author Ferrer, J. es_ES
dc.date.accessioned 2019-04-25T20:01:16Z
dc.date.available 2019-04-25T20:01:16Z
dc.date.issued 2018 es_ES
dc.identifier.issn 1359-5113 es_ES
dc.identifier.uri http://hdl.handle.net/10251/119575
dc.description.abstract [EN] Autotrophic growth and decay rates of ammonium and nitrite oxidizing bacteria (AOB and NOB, respectively) have a significant impact on the design and on the process performance of wastewater treatment systems where nitrification occurs. Literature data on the separate decay rates of AOB and NOB is scarce and inconsistent. In this study, batch experiments based on respirometric techniques were conducted to determine the NOB decay rates under different oxidation-reduction potential conditions, in order to widen the understanding of nitrite dynamics. The decay rate measured under anoxic conditions was 85% lower than under aerobic conditions, whereas under anaerobic conditions the decay rate reduction was 92%. A design and simulation tool was used to assess the impact of applying these results in differentiated areas of an activated sludge system. Simulations show a greater impact for systems with a sludge retention time under 10 days, for which up to a 16-fold increase in NOB biomass concentration and up to 86% and 80% reductions in ammonium and nitrite concentrations in the effluent were calculated. Therefore, this work demonstrates that considering different decay rates for autotrophic biomass under different ORP conditions avoids underestimating system performance and over dimensioning new activated sludge schemes. es_ES
dc.description.sponsorship This research project has been supported by the Spanish Ministry of Economy, Industry and Competitiveness (MINECO,project CTM2017-86751-C2), whose support is gratefully acknowledged.
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Process Biochemistry es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Ammonia oxidizing bacteria (AOB) es_ES
dc.subject Decay rate es_ES
dc.subject Nitrite oxidizing bacteria (NOB) es_ES
dc.subject OUR Respirometry es_ES
dc.subject.classification TECNOLOGIA DEL MEDIO AMBIENTE es_ES
dc.subject.classification INGENIERIA HIDRAULICA es_ES
dc.title Modeling the decay of nitrite oxidizing bacteria under different reduction potential conditions es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.procbio.2018.05.021 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CTM2017-86751-C2-2-R/ES/MODELACION Y CONTROL PARA LA IMPLEMENTACION DE LA LA TECNOLOGIA DE MEMBRANAS EN LAS EDAR ACTUALES PARA SU TRANSFORMACION EN ESTACIONES DE RECUPERACION DE RECURSOS./ es_ES
dc.rights.accessRights Abierto es_ES
dc.date.embargoEndDate 2019-08-01 es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient es_ES
dc.description.bibliographicCitation Ruiz Martinez, A.; Claros Bedoya, JA.; Serralta Sevilla, J.; Bouzas Blanco, A.; Ferrer, J. (2018). Modeling the decay of nitrite oxidizing bacteria under different reduction potential conditions. Process Biochemistry. 71:159-165. https://doi.org/10.1016/j.procbio.2018.05.021 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.procbio.2018.05.021 es_ES
dc.description.upvformatpinicio 159 es_ES
dc.description.upvformatpfin 165 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 71 es_ES
dc.relation.pasarela S\367860 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES


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