[ Etude statistique des performances de la STEP de Bouregreg, Rabat, Maroc ]
Volume 19, Issue 2, February 2017, Pages 297–303
Imane KOHEN1, Abderrazak Khadmaoui2, A. Soulaymani3, Mustapha MAHI4, and Azzedine Elmidaoui5
1 Laboratoire des procédés de séparation, centre d’études doctorales sciences et techniques, université Ibn Tofail, Kenitra, Morocco
2 Laboratoire de Génétique et Biométrie, Université Ibn Tofail, Kénitra, Morocco
3 Laboratoire de Génétique et Biométrie, Faculté des Sciences, Université Ibn Tofail, Kenitra, Morocco
4 Chef de service, Recherche et Développement en Assainissement et Environnement, Institut International de l’Eau et de l’Assainissement, Office National de l’Electricité et de l’Eau Potable (ONEE), Morocco
5 Laboratory of Separation Processes, Department of Chemistry, Faculty of Science, University Ibn, Tofail, Kenitra, Morocco
Original language: French
Copyright © 2017 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Wastewater treatment plants are dynamic systems subject to wide and uncontrolled variations of flow, concentration and composition of effluents crossing-by the plant. Mathematical models are essential to describe, predict and control the variation of method such process. The aim of this work is to develop a model for monitoring the process of an activated sludge waste water treatment plant located in the suburb or Rabat, the capital of Morocco. Data of the several physic-chemical parameters (i.e. biochemical oxygen demand -BOD5; chemical oxygen demand -COD; flow; total phosphorus; total nitrogen; dissolved oxygen; suspended solids (SS , MVS ); temperature (T);and pH) were recorder over the period 2004-2008 and assessed using multidimensional data analysis methods for correlations. Results showed a significant correlation between SS and SLE and between BOD5 and COD. Moreover, a significant correlation between MVS and MES, and between BOD5 and total nitrogen were observed at the at process output. Regression of least squares partial (PLS) was performed on significant parameters and resulted in three equations, with significant correlation coefficients suggesting a good sensitivity of the built model.
Author Keywords: sludge, modeling, physicochemical parameters, ACP, PLS.
Volume 19, Issue 2, February 2017, Pages 297–303
Imane KOHEN1, Abderrazak Khadmaoui2, A. Soulaymani3, Mustapha MAHI4, and Azzedine Elmidaoui5
1 Laboratoire des procédés de séparation, centre d’études doctorales sciences et techniques, université Ibn Tofail, Kenitra, Morocco
2 Laboratoire de Génétique et Biométrie, Université Ibn Tofail, Kénitra, Morocco
3 Laboratoire de Génétique et Biométrie, Faculté des Sciences, Université Ibn Tofail, Kenitra, Morocco
4 Chef de service, Recherche et Développement en Assainissement et Environnement, Institut International de l’Eau et de l’Assainissement, Office National de l’Electricité et de l’Eau Potable (ONEE), Morocco
5 Laboratory of Separation Processes, Department of Chemistry, Faculty of Science, University Ibn, Tofail, Kenitra, Morocco
Original language: French
Copyright © 2017 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Wastewater treatment plants are dynamic systems subject to wide and uncontrolled variations of flow, concentration and composition of effluents crossing-by the plant. Mathematical models are essential to describe, predict and control the variation of method such process. The aim of this work is to develop a model for monitoring the process of an activated sludge waste water treatment plant located in the suburb or Rabat, the capital of Morocco. Data of the several physic-chemical parameters (i.e. biochemical oxygen demand -BOD5; chemical oxygen demand -COD; flow; total phosphorus; total nitrogen; dissolved oxygen; suspended solids (SS , MVS ); temperature (T);and pH) were recorder over the period 2004-2008 and assessed using multidimensional data analysis methods for correlations. Results showed a significant correlation between SS and SLE and between BOD5 and COD. Moreover, a significant correlation between MVS and MES, and between BOD5 and total nitrogen were observed at the at process output. Regression of least squares partial (PLS) was performed on significant parameters and resulted in three equations, with significant correlation coefficients suggesting a good sensitivity of the built model.
Author Keywords: sludge, modeling, physicochemical parameters, ACP, PLS.
Abstract: (french)
Les stations d'épurations des eaux usées sont des systèmes dynamiques soumis à des variations importantes et non contrôlées de débit, de concentration et de composition des effluents qui les traversent. Les modèles mathématiques sont essentiels pour décrire, prédire et contrôler les variations de fonctionnement de ce processus. L'objectif du présent travail est de développer un modèle mathématique permettant le monitoring du procédé de boues activées de la station d’épuration du complexe de Bouregreg, située en banlieue de Rabat, la capitale du Maroc. La méthodologie adoptée consiste d’abord à rassembler les données des paramètres étudiés ( la demande biochimique en oxygène (DBO5), la demande chimique en oxygène ( DCO), débit, phosphore Total, azote Total, oxygène dissous, matières en suspension (MES, MVS), température (T), pH…..) mesurés entre 2004 et 2008, puis à analyser la corrélation entre eux en utilisant des méthodes d’analyse multidimensionnelle. L’analyse des données d’entrée a montré une corrélation significative entre la MES et MVS ainsi que la DBO5 et la DCO. Par ailleurs, une corrélation significative entre la MVS et la MES, DBO5 et azote totale à la sortie du traitement. La régression des moindres carrées partielles (PLS) appliquées aux paramètres significatifs a résulté en trois équations avec des coefficients de corrélation assez significatifs, ce qui témoigne d’une assez bonne sensibilité du modèle construit.
Author Keywords: modélisation, boues activée, paramètres physicochimiques, ACP, PLS.
How to Cite this Article
Imane KOHEN, Abderrazak Khadmaoui, A. Soulaymani, Mustapha MAHI, and Azzedine Elmidaoui, “Statistical study of the performance of the STEP Bouregreg, Rabat, Morocco,” International Journal of Innovation and Applied Studies, vol. 19, no. 2, pp. 297–303, February 2017.
