The use of fuzzy logic for data analysis and modelling of European harmful algal blooms: Results of the HABES project

A. N. Blauw; P. Anderson; M. Estrada; M. Johansen; J. Laanemets; L. Peperzak; D. Purdie; R. Raine; E. Vantera

doi:10.2989/18142320609504179

The use of fuzzy logic for data analysis and modelling of European harmful algal blooms: Results of the HABES project

A. N. Blauw
, P. Anderson
, M. Estrada
, M. Johansen
, J. Laanemets
, L. Peperzak
, D. Purdie
, R. Raine
, E. Vantera

Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review

38 Citations (Scopus)

Abstract

Fuzzy logic was applied to model blooms of Nodularia spumigena, Dinophysis spp., Alexandrium minutum, Karenia mikimotoi and Phaeocystis globosa at various European sites as part of the Harmful Algal Blooms Expert System (HABES) project. This modelling approach was useful in performing integrated analyses of interacting physical and biological factors involved in HABs. A basic knowledge of HAB formation and sufficient data are a prerequisite for successful bloom prediction.

Original language	English
Pages (from-to)	365-369
Number of pages	5
Journal	African Journal of Marine Science
Volume	28
Issue number	2
DOIs	https://doi.org/10.2989/18142320609504179
Publication status	Published - Sep 2006
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 14 Life Below Water

Keywords

Fuzzy logic
Harmful algal blooms
Model

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10.2989/18142320609504179

Cite this

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abstract = "Fuzzy logic was applied to model blooms of Nodularia spumigena, Dinophysis spp., Alexandrium minutum, Karenia mikimotoi and Phaeocystis globosa at various European sites as part of the Harmful Algal Blooms Expert System (HABES) project. This modelling approach was useful in performing integrated analyses of interacting physical and biological factors involved in HABs. A basic knowledge of HAB formation and sufficient data are a prerequisite for successful bloom prediction.",

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T2 - Results of the HABES project

AU - Blauw, A. N.

AU - Anderson, P.

AU - Estrada, M.

AU - Johansen, M.

AU - Laanemets, J.

AU - Peperzak, L.

AU - Purdie, D.

AU - Raine, R.

AU - Vantera, E.

PY - 2006/9

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N2 - Fuzzy logic was applied to model blooms of Nodularia spumigena, Dinophysis spp., Alexandrium minutum, Karenia mikimotoi and Phaeocystis globosa at various European sites as part of the Harmful Algal Blooms Expert System (HABES) project. This modelling approach was useful in performing integrated analyses of interacting physical and biological factors involved in HABs. A basic knowledge of HAB formation and sufficient data are a prerequisite for successful bloom prediction.

AB - Fuzzy logic was applied to model blooms of Nodularia spumigena, Dinophysis spp., Alexandrium minutum, Karenia mikimotoi and Phaeocystis globosa at various European sites as part of the Harmful Algal Blooms Expert System (HABES) project. This modelling approach was useful in performing integrated analyses of interacting physical and biological factors involved in HABs. A basic knowledge of HAB formation and sufficient data are a prerequisite for successful bloom prediction.

KW - Fuzzy logic

KW - Harmful algal blooms

KW - Model

UR - https://www.scopus.com/pages/publications/33749607756

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JF - African Journal of Marine Science

IS - 2

ER -

The use of fuzzy logic for data analysis and modelling of European harmful algal blooms: Results of the HABES project

Abstract

UN SDGs

Keywords

Access to Document

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