Titre :

Identification of a dynamical model for phytoplankton bloom based on high frequency measurements

Auteur(s) :

Ahmed, Hafiz [Auteur]
Coventry University
Ushirobira, Rosane [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Efimov, Denis [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Perruquetti, Wilfrid [Auteur]
Non-Asymptotic estimation for online systems [NON-A]

Titre de la revue :

International Journal of Environment and Pollution

Pagination :

74 - 86

Éditeur :

Inderscience

Date de publication :

2017-11-23

ISSN :

0957-4352

Mot(s)-clé(s) en anglais :

Model identification
ARMAX mode
phytoplankton bloom

Discipline(s) HAL :

Sciences de l'ingénieur [physics]/Automatique / Robotique
Sciences de l'environnement/Ingénierie de l'environnement
Sciences de l'ingénieur [physics]

Résumé en anglais : [en]

High frequency measurements of various water characteristics and nutrients information of the Marel-Carnot sea monitoring station (Boulogne-sur-Mer, France) have been used to identify a physiological model for phytoplankton ...
Lire la suite >High frequency measurements of various water characteristics and nutrients information of the Marel-Carnot sea monitoring station (Boulogne-sur-Mer, France) have been used to identify a physiological model for phytoplankton bloom through the fluorescence signal. An auto-regressive-moving-average with exogenous inputs (ARMAX) model is designed and tested based on the dataset. The model takes into account the effect of the measured water characteristics and nutrient level information. Through this study, it is demonstrated that the developed dynamical model can be used for estimating the fluorescence level (which characterizes the phytoplankton biomass) and for predicting the various states of phytoplankton bloom. Thus, the developed model can be used for monitoring phytoplankton biomass in the water which in turn might give information about unbalanced ecosystem or change in water quality.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL