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DIGITAL.CSIC
Article . 2006 . Peer-reviewed
Data sources: DIGITAL.CSIC
African Journal of Marine Science
Article . 2006 . Peer-reviewed
Data sources: Crossref
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The use of fuzzy logic for data analysis and modelling of European harmful algal blooms: results of the HABES project

Authors: Blauw, A.N.; Anderson, P.; Estrada, M.; Johansen, M.; Laanemets, J.; Peperzak, L.; Purdie, D.; +2 Authors

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

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.

Countries
United Kingdom, Spain
Keywords

Fuzzy logic, Fuzzy logics, Harmful algal blooms, fuzzy logic, harmful algal blooms, model, 004, Model

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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35
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