Dynamical model identification of a population of oysters for water quality monitoring

Hafiz Ahmed; Rosane Ushirobira; Denis  Efimov; Damien  Tran; Jean-Charles  Massabuau

doi:10.1109/ECC.2014.6862479

Dynamical model identification of a population of oysters for water quality monitoring

Hafiz Ahmed, Rosane Ushirobira, Denis Efimov, Damien Tran, Jean-Charles Massabuau

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

7 Citations (Scopus)

Abstract

The measurements of valve activity in a population of bivalves under natural environmental conditions (16 oysters in the Bay of Arcachon, France) are used for a physiological model identification. A nonlinear auto-regressive exogenous (NARX) model is designed and tested. The model takes into account the influence of environmental conditions using measurements of the sunlight intensity, the moonlight and tide levels. A possible influence of the internal circadian/circatidal clocks is also analyzed. Through this application, it is demonstrated that the developed dynamical model can be used for estimation of the normal physiological rhythms of permanently immersed oysters and considered for detection of perturbations of these rhythms due to changes in the water quality, i.e. for ecological monitoring.

Original language	English
Title of host publication	Control Conference (ECC), 2014 European
Publisher	IEEE
ISBN (Print)	9783952426913
DOIs	https://doi.org/10.1109/ECC.2014.6862479
Publication status	Published - 2014
Event	2014 European Control Conference - Strasbourg, France Duration: 24 Jun 2014 → 27 Jun 2014

Conference

Conference	2014 European Control Conference
Abbreviated title	ECC
Country/Territory	France
City	Strasbourg
Period	24/06/14 → 27/06/14

Keywords

Valves
Biological system modeling
Monitoring
Sociology
Statistics
Animals
Sea measurements

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10.1109/ECC.2014.6862479

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@inproceedings{609a036387a240ad9098cc0d3605ab5c,

title = "Dynamical model identification of a population of oysters for water quality monitoring",

abstract = "The measurements of valve activity in a population of bivalves under natural environmental conditions (16 oysters in the Bay of Arcachon, France) are used for a physiological model identification. A nonlinear auto-regressive exogenous (NARX) model is designed and tested. The model takes into account the influence of environmental conditions using measurements of the sunlight intensity, the moonlight and tide levels. A possible influence of the internal circadian/circatidal clocks is also analyzed. Through this application, it is demonstrated that the developed dynamical model can be used for estimation of the normal physiological rhythms of permanently immersed oysters and considered for detection of perturbations of these rhythms due to changes in the water quality, i.e. for ecological monitoring.",

keywords = "Valves, Biological system modeling, Monitoring, Sociology, Statistics, Animals, Sea measurements",

author = "Hafiz Ahmed and Rosane Ushirobira and Denis Efimov and Damien Tran and Jean-Charles Massabuau",

year = "2014",

doi = "10.1109/ECC.2014.6862479",

language = "English",

isbn = "9783952426913",

booktitle = "Control Conference (ECC), 2014 European",

publisher = "IEEE",

address = "United States",

note = "2014 European Control Conference, ECC ; Conference date: 24-06-2014 Through 27-06-2014",

}

TY - GEN

T1 - Dynamical model identification of a population of oysters for water quality monitoring

AU - Ahmed, Hafiz

AU - Ushirobira, Rosane

AU - Efimov, Denis

AU - Tran, Damien

AU - Massabuau, Jean-Charles

PY - 2014

Y1 - 2014

N2 - The measurements of valve activity in a population of bivalves under natural environmental conditions (16 oysters in the Bay of Arcachon, France) are used for a physiological model identification. A nonlinear auto-regressive exogenous (NARX) model is designed and tested. The model takes into account the influence of environmental conditions using measurements of the sunlight intensity, the moonlight and tide levels. A possible influence of the internal circadian/circatidal clocks is also analyzed. Through this application, it is demonstrated that the developed dynamical model can be used for estimation of the normal physiological rhythms of permanently immersed oysters and considered for detection of perturbations of these rhythms due to changes in the water quality, i.e. for ecological monitoring.

AB - The measurements of valve activity in a population of bivalves under natural environmental conditions (16 oysters in the Bay of Arcachon, France) are used for a physiological model identification. A nonlinear auto-regressive exogenous (NARX) model is designed and tested. The model takes into account the influence of environmental conditions using measurements of the sunlight intensity, the moonlight and tide levels. A possible influence of the internal circadian/circatidal clocks is also analyzed. Through this application, it is demonstrated that the developed dynamical model can be used for estimation of the normal physiological rhythms of permanently immersed oysters and considered for detection of perturbations of these rhythms due to changes in the water quality, i.e. for ecological monitoring.

KW - Valves

KW - Biological system modeling

KW - Monitoring

KW - Sociology

KW - Statistics

KW - Animals

KW - Sea measurements

U2 - 10.1109/ECC.2014.6862479

DO - 10.1109/ECC.2014.6862479

M3 - Conference proceeding

SN - 9783952426913

BT - Control Conference (ECC), 2014 European

PB - IEEE

T2 - 2014 European Control Conference

Y2 - 24 June 2014 through 27 June 2014

ER -

Dynamical model identification of a population of oysters for water quality monitoring

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Keywords

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