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 proceedingConference proceeding

5 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 languageEnglish
Title of host publicationControl Conference (ECC), 2014 European
PublisherIEEE
ISBN (Print)9783952426913
DOIs
Publication statusPublished - 2014
Event2014 European Control Conference - Strasbourg, France
Duration: 24 Jun 201427 Jun 2014

Conference

Conference2014 European Control Conference
Abbreviated titleECC
CountryFrance
CityStrasbourg
Period24/06/1427/06/14

Keywords

  • Valves
  • Biological system modeling
  • Monitoring
  • Sociology
  • Statistics
  • Animals
  • Sea measurements

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    Ahmed, H., Ushirobira, R., Efimov, D., Tran, D., & Massabuau, J-C. (2014). Dynamical model identification of a population of oysters for water quality monitoring. In Control Conference (ECC), 2014 European IEEE. https://doi.org/10.1109/ECC.2014.6862479