Olive mill wastewater characteristics: modelling and statistical analysis

A synthesis of the work carried out on Olive Mill Wastewater (OMW) characterisation is given, covering articles published over the last 50 years. Data on OMW characterisation found in the literature are summarised and correlations between them and with phenolic compounds content are sought. This per...

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Main Authors: Luísa C. Davies, André M. Vilhena, Júlio M. Novais, Susete Martins-Dias
Format: Article
Language:English
Published: Consejo Superior de Investigaciones Científicas 2004-09-01
Series:Grasas y Aceites
Subjects:
Online Access:http://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/171
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spelling doaj-c9a8a038ce0940ee96e0603ff967c2d72021-05-05T07:28:26ZengConsejo Superior de Investigaciones CientíficasGrasas y Aceites0017-34951988-42142004-09-0155323324110.3989/gya.2004.v55.i3.171169Olive mill wastewater characteristics: modelling and statistical analysisLuísa C. Davies0André M. Vilhena1Júlio M. Novais2Susete Martins-Dias3Centre of Biological and Chemical Engineering, Instituto Superior TécnicoCentre of Biological and Chemical Engineering, Instituto Superior TécnicoCentre of Biological and Chemical Engineering, Instituto Superior TécnicoCentre of Biological and Chemical Engineering, Instituto Superior TécnicoA synthesis of the work carried out on Olive Mill Wastewater (OMW) characterisation is given, covering articles published over the last 50 years. Data on OMW characterisation found in the literature are summarised and correlations between them and with phenolic compounds content are sought. This permits the characteristics of an OMW to be estimated from one simple measurement: the phenolic compounds concentration. A model based on OMW characterisations accounting 6 countries was developed along with a model for Portuguese OMW. The statistical analysis of the correlations obtained indicates that Chemical Oxygen Demand of a given OMW is a second-degree polynomial function of its phenolic compounds concentration. Tests to evaluate the regressions significance were carried out, based on multivariable ANOVA analysis, on visual standardised residuals distribution and their means for confidence levels of 95 and 99 %, validating clearly these models. This modelling work will help in the future planning, operation and monitoring of an OMW treatment plant.http://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/171chemical oxygen demand (cod)modellingolive mill wastewater (omw)omw characteristicsphenolic compounds
collection DOAJ
language English
format Article
sources DOAJ
author Luísa C. Davies
André M. Vilhena
Júlio M. Novais
Susete Martins-Dias
spellingShingle Luísa C. Davies
André M. Vilhena
Júlio M. Novais
Susete Martins-Dias
Olive mill wastewater characteristics: modelling and statistical analysis
Grasas y Aceites
chemical oxygen demand (cod)
modelling
olive mill wastewater (omw)
omw characteristics
phenolic compounds
author_facet Luísa C. Davies
André M. Vilhena
Júlio M. Novais
Susete Martins-Dias
author_sort Luísa C. Davies
title Olive mill wastewater characteristics: modelling and statistical analysis
title_short Olive mill wastewater characteristics: modelling and statistical analysis
title_full Olive mill wastewater characteristics: modelling and statistical analysis
title_fullStr Olive mill wastewater characteristics: modelling and statistical analysis
title_full_unstemmed Olive mill wastewater characteristics: modelling and statistical analysis
title_sort olive mill wastewater characteristics: modelling and statistical analysis
publisher Consejo Superior de Investigaciones Científicas
series Grasas y Aceites
issn 0017-3495
1988-4214
publishDate 2004-09-01
description A synthesis of the work carried out on Olive Mill Wastewater (OMW) characterisation is given, covering articles published over the last 50 years. Data on OMW characterisation found in the literature are summarised and correlations between them and with phenolic compounds content are sought. This permits the characteristics of an OMW to be estimated from one simple measurement: the phenolic compounds concentration. A model based on OMW characterisations accounting 6 countries was developed along with a model for Portuguese OMW. The statistical analysis of the correlations obtained indicates that Chemical Oxygen Demand of a given OMW is a second-degree polynomial function of its phenolic compounds concentration. Tests to evaluate the regressions significance were carried out, based on multivariable ANOVA analysis, on visual standardised residuals distribution and their means for confidence levels of 95 and 99 %, validating clearly these models. This modelling work will help in the future planning, operation and monitoring of an OMW treatment plant.
topic chemical oxygen demand (cod)
modelling
olive mill wastewater (omw)
omw characteristics
phenolic compounds
url http://grasasyaceites.revistas.csic.es/index.php/grasasyaceites/article/view/171
work_keys_str_mv AT luisacdavies olivemillwastewatercharacteristicsmodellingandstatisticalanalysis
AT andremvilhena olivemillwastewatercharacteristicsmodellingandstatisticalanalysis
AT juliomnovais olivemillwastewatercharacteristicsmodellingandstatisticalanalysis
AT susetemartinsdias olivemillwastewatercharacteristicsmodellingandstatisticalanalysis
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