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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Consejo Superior de Investigaciones Científicas
2004-09-01
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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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1721470013238411264 |