A simple tool for the early prediction of the cyanobacteria <i>Nodularia spumigena</i> bloom biomass in the Gulf of Finland

A simple tool for the early prediction of the cyanobacteria <i>Nodularia spumigena</i> bloom biomass in the Gulf of Finland

A fuzzy logic model for predicting the maximum biomass of thetoxic cyanobacteria <i>Nodularia spumigena</i> bloom in the Gulf ofFinland is suggested. The model bloom biomass depends on thephosphate conditions up to 15 June, including the excess phosphateleft over after the spring bloom a...

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Main Authors: Madis-Jaak Lilove, Jaan Laanemet
Format: Article
Language:English
Published: Elsevier 2006-06-01
Series:Oceanologia
Subjects:
Harmful algal blooms
<i>Nodularia spumigena</i>
Fuzzy logic model
Gulf of Finland
Online Access:http://www.iopan.gda.pl/oceanologia/48_S.html#A12
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spelling doaj-928c777af9dc41678499d884b63c6c642020-11-25T00:18:56ZengElsevierOceanologia0078-32342006-06-0148S213229A simple tool for the early prediction of the cyanobacteria <i>Nodularia spumigena</i> bloom biomass in the Gulf of FinlandMadis-Jaak LiloveJaan LaanemetA fuzzy logic model for predicting the maximum biomass of thetoxic cyanobacteria <i>Nodularia spumigena</i> bloom in the Gulf ofFinland is suggested. The model bloom biomass depends on thephosphate conditions up to 15 June, including the excess phosphateleft over after the spring bloom and on the phosphate inputsparameterised by wind mixing and upwelling from 1 May to 15 June.The surface layer temperature, set to vary from 14 to 23&#x00BA;C,is regarded as a bloom regulating parameter. The model simulationsshowed that the predicted <i>N. spumigena</i> biomasses differ markedlyfrom year to year and clearly depend on phosphate conditionsup to 15 June.http://www.iopan.gda.pl/oceanologia/48_S.html#A12Harmful algal blooms<i>Nodularia spumigena</i>Fuzzy logic modelGulf of Finland
collection DOAJ
language English
format Article
sources DOAJ
author Madis-Jaak Lilove
Jaan Laanemet
spellingShingle Madis-Jaak Lilove
Jaan Laanemet
A simple tool for the early prediction of the cyanobacteria <i>Nodularia spumigena</i> bloom biomass in the Gulf of Finland
Oceanologia
Harmful algal blooms
<i>Nodularia spumigena</i>
Fuzzy logic model
Gulf of Finland
author_facet Madis-Jaak Lilove
Jaan Laanemet
author_sort Madis-Jaak Lilove
title A simple tool for the early prediction of the cyanobacteria <i>Nodularia spumigena</i> bloom biomass in the Gulf of Finland
title_short A simple tool for the early prediction of the cyanobacteria <i>Nodularia spumigena</i> bloom biomass in the Gulf of Finland
title_full A simple tool for the early prediction of the cyanobacteria <i>Nodularia spumigena</i> bloom biomass in the Gulf of Finland
title_fullStr A simple tool for the early prediction of the cyanobacteria <i>Nodularia spumigena</i> bloom biomass in the Gulf of Finland
title_full_unstemmed A simple tool for the early prediction of the cyanobacteria <i>Nodularia spumigena</i> bloom biomass in the Gulf of Finland
title_sort simple tool for the early prediction of the cyanobacteria <i>nodularia spumigena</i> bloom biomass in the gulf of finland
publisher Elsevier
series Oceanologia
issn 0078-3234
publishDate 2006-06-01
description A fuzzy logic model for predicting the maximum biomass of thetoxic cyanobacteria <i>Nodularia spumigena</i> bloom in the Gulf ofFinland is suggested. The model bloom biomass depends on thephosphate conditions up to 15 June, including the excess phosphateleft over after the spring bloom and on the phosphate inputsparameterised by wind mixing and upwelling from 1 May to 15 June.The surface layer temperature, set to vary from 14 to 23&#x00BA;C,is regarded as a bloom regulating parameter. The model simulationsshowed that the predicted <i>N. spumigena</i> biomasses differ markedlyfrom year to year and clearly depend on phosphate conditionsup to 15 June.
topic Harmful algal blooms
<i>Nodularia spumigena</i>
Fuzzy logic model
Gulf of Finland
url http://www.iopan.gda.pl/oceanologia/48_S.html#A12
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