6533b872fe1ef96bd12d38ba
RESEARCH PRODUCT
Dynamical model identification of population of oysters for water quality monitoring
Jean-charles MassabuauDamien TranDenis EfimovRosane UshirobiraHafiz Ahmedsubject
0106 biological sciencesMoonlight0303 health scienceseducation.field_of_studyNonlinear autoregressive exogenous modelMeteorology010604 marine biology & hydrobiologyPopulationSystem identification01 natural sciencesPhysiological model03 medical and health sciencesEcological monitoringOceanography[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering[ INFO.INFO-AU ] Computer Science [cs]/Automatic Control Engineering14. Life underwaterWater qualityeducation[INFO.INFO-AU] Computer Science [cs]/Automatic Control EngineeringBay030304 developmental biologydescription
International audience; 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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2014-06-24 |