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International Conference on Computational Science

ICCS 2019: Computational Science – ICCS 2019 pp 361–375Cite as

Early Warning Systems for Shellfish Safety: The Pivotal Role of Computational Science

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 11539)

Abstract

Toxins from harmful algae and certain food pathogens (Escherichia coli and Norovirus) found in shellfish can cause significant health problems to the public and have a negative impact on the economy. For the most part, these outbreaks cannot be prevented but, with the right technology and know-how, they can be predicted. These Early Warning Systems (EWS) require reliable data from multiple sources: satellite imagery, in situ data and numerical tools. The data is processed and analyzed and a short-term forecast is produced. Computational science is at the heart of any EWS. Current models and forecast systems are becoming increasingly sophisticated as more is known about the dynamics of an outbreak. This paper discusses the need, main components and future challenges of EWS.

Keywords

  • Shellfish safety
  • Early warning systems
  • Aquaculture

Supported by the Interreg Atlantic Area Operational programme, Grant Agreement No.: EAPA_182/2016. A. Silva supported by Grant IPMA-BCC-2016-35.

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Fig. 1.

Data source: FAO - Fisheries and Aquaculture Information and Statistics Branch - 20/02/2019.

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Author information

Authors and Affiliations

  1. MARETEC, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal

    Marcos Mateus & Lígia Pinto

  2. AZTI, Herrera Kaia, Portualdea, z/g, 20110, Pasaia, Gipuzkoa, Spain

    Jose Fernandes, Marta Revilla & Luis Ferrer

  3. Instituto Español de Oceanografía, 15011, A Coruña, Galicia, Spain

    Manuel Ruiz Villarreal

  4. Plymouth Marine Laboratory, Prospect Place, Plymouth, PL1 3DH, UK

    Peter Miller

  5. Marine Environment & Food Safety Services, Marine Institute Rinville, Oranmore, H91 R673, Co. Galway, Ireland

    Wiebke Schmidt

  6. Bantry Marine Research Station, Gearhies, Bantry, P75AX07, Co. Cork, Ireland

    Julie Maguire

  7. IPMA, I.P - Instituto Português do Mar e da Atmosfera, R. Alfredo Magalhães Ramalho 6, 1495-006, Lisbon, Portugal

    Alexandra Silva

Authors
  1. Marcos Mateus
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  2. Jose Fernandes
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  3. Marta Revilla
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  4. Luis Ferrer
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  5. Manuel Ruiz Villarreal
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  6. Peter Miller
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  7. Wiebke Schmidt
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  8. Julie Maguire
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  9. Alexandra Silva
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  10. Lígia Pinto
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Corresponding author

Correspondence to Marcos Mateus .

Editor information

Editors and Affiliations

  1. University of Algarve, Faro, Portugal

    Dr. João M. F. Rodrigues

  2. University of Algarve, Faro, Portugal

    Dr. Pedro J. S. Cardoso

  3. University of Algarve, Faro, Portugal

    Dr. Jânio Monteiro

  4. University of Algarve, Faro, Portugal

    Prof. Roberto Lam

  5. University of Amsterdam, Amsterdam, The Netherlands

    Dr. Valeria V. Krzhizhanovskaya

  6. University of Amsterdam, Amsterdam, The Netherlands

    Michael H. Lees

  7. University of Tennessee at Knoxville, Knoxville, TN, USA

    Jack J. Dongarra

  8. University of Amsterdam, Amsterdam, The Netherlands

    Peter M.A. Sloot

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Mateus, M. et al. (2019). Early Warning Systems for Shellfish Safety: The Pivotal Role of Computational Science. In: , et al. Computational Science – ICCS 2019. ICCS 2019. Lecture Notes in Computer Science(), vol 11539. Springer, Cham. https://doi.org/10.1007/978-3-030-22747-0_28

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  • DOI: https://doi.org/10.1007/978-3-030-22747-0_28

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