Dynamical Modelling of a Wastewater Treatment Process of the Metallurgical Industry

In this paper we consider the dynamical modelling and parameter identification of a biological wastewater treatment process from the galvanisation industry used to remove a mixture of organic matter and surface-active agents. In the present study we have considered mainly the measurements of dissolv...

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Main Authors: David Warichet, Frederic Sauvage, Denis Dochain
Format: Article
Language:English
Published: Academic Publishing House 2007-03-01
Series:Bioautomation
Subjects:
Online Access:http://www.clbme.bas.bg/bioautomation/2007/vol_6.1/files/6_1.1.pdf
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author David Warichet
Frederic Sauvage
Denis Dochain
author_facet David Warichet
Frederic Sauvage
Denis Dochain
author_sort David Warichet
collection DOAJ
description In this paper we consider the dynamical modelling and parameter identification of a biological wastewater treatment process from the galvanisation industry used to remove a mixture of organic matter and surface-active agents. In the present study we have considered mainly the measurements of dissolved oxygen and COD (Chemical Oxygen Demand) collected on laboratory and pilot-scale processes. From the identification study, we can conclude that the degradation is characterized by two reactions: one part of the easily biodegradable effluent is degraded with fast kinetics while the remaining part of the effluent is degraded via a slower reaction. This has been modelled by considering two different classes of substrates that indeed correspond to real components of the mixture.
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spelling doaj.art-2e23774dcb9d491c86b6631ed5daf2632022-12-21T23:46:34ZengAcademic Publishing HouseBioautomation1313-261X1312-451X2007-03-016119Dynamical Modelling of a Wastewater Treatment Process of the Metallurgical IndustryDavid WarichetFrederic SauvageDenis DochainIn this paper we consider the dynamical modelling and parameter identification of a biological wastewater treatment process from the galvanisation industry used to remove a mixture of organic matter and surface-active agents. In the present study we have considered mainly the measurements of dissolved oxygen and COD (Chemical Oxygen Demand) collected on laboratory and pilot-scale processes. From the identification study, we can conclude that the degradation is characterized by two reactions: one part of the easily biodegradable effluent is degraded with fast kinetics while the remaining part of the effluent is degraded via a slower reaction. This has been modelled by considering two different classes of substrates that indeed correspond to real components of the mixture.http://www.clbme.bas.bg/bioautomation/2007/vol_6.1/files/6_1.1.pdf Dynamical modellingParameter identificationWastewater treatmentGalvanisation
spellingShingle David Warichet
Frederic Sauvage
Denis Dochain
Dynamical Modelling of a Wastewater Treatment Process of the Metallurgical Industry
Bioautomation
Dynamical modelling
Parameter identification
Wastewater treatment
Galvanisation
title Dynamical Modelling of a Wastewater Treatment Process of the Metallurgical Industry
title_full Dynamical Modelling of a Wastewater Treatment Process of the Metallurgical Industry
title_fullStr Dynamical Modelling of a Wastewater Treatment Process of the Metallurgical Industry
title_full_unstemmed Dynamical Modelling of a Wastewater Treatment Process of the Metallurgical Industry
title_short Dynamical Modelling of a Wastewater Treatment Process of the Metallurgical Industry
title_sort dynamical modelling of a wastewater treatment process of the metallurgical industry
topic Dynamical modelling
Parameter identification
Wastewater treatment
Galvanisation
url http://www.clbme.bas.bg/bioautomation/2007/vol_6.1/files/6_1.1.pdf
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AT denisdochain dynamicalmodellingofawastewatertreatmentprocessofthemetallurgicalindustry