Pubblicazione scientifica

Dynamical model identification of population of oysters for water quality monitoring

FILONE TECNOLOGICO	TEMA
economia circolare e sostenibilità
trasformazione e commercializzazione

RIASSUNTO

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.

DATA

Data di pubblicazione: 01/06/2014

AUTORI

HAFIZ AHMED
ROSANE USHIROBIRA
DENIS EFIMOV
DAMIEN TRAN
JEAN-CHARLES MASSABUAU

ENTE DI AFFERENZA

NON A TEAM AT INRIA LILLE FRANCE
INRIA SOPHIA ANTIPOLIS FRANCE
EA TEAM EPOC OASU BORDEAUX FRANCE
EPOC OASU BORDEUAX FRANCE

RIVISTA

2014 European Control Conference (ECC) (Page(s): 152-157)

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