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

被引：30

作者：

Blauw, A. N.

Anderson, P.

Estrada, M.

Johansen, M.

Laanemets, J.

Peperzak, L.

Purdie, D.

Raine, R.

Vahtera, E.

机构：

[1] WL Delft Hydraul, NL-2600 MH Delft, Netherlands

[2] Swedish Meteorol & Hydrol Inst, SE-60176 Norrkoping, Sweden

[3] CSIC, CMIMA, Inst Ciencies Mar, E-08003 Barcelona, Spain

[4] Univ Gothenburg, Dept Marine Ecol, Kristineberg Marine Res Stn, SE-45034 Fiskebackskil, Sweden

[5] Tallinn Univ Technol, Marine Syst Inst, EE-12618 Tallinn, Estonia

[6] Rijksinst Kust Zee, NL-4330 EA Middelburg, Netherlands

[7] Univ Southampton, Natl Oceanog Ctr, Southampton SO14 3ZH, Hants, England

[8] Martin Ryan Inst, Galway, Ireland

[9] Finnish Inst Marine Res, Helsinki, Finland

来源：

AFRICAN JOURNAL OF MARINE SCIENCE | 2006年 / 28卷 / 02期

关键词：

fuzzy logic; harmful algal blooms; model;

D O I：

10.2989/18142320609504179

中图分类号：

Q17 [水生生物学];

学科分类号：

071004 [水生生物学];

摘要：

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.

引用

页码：365 / 369

页数：5

共 8 条

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Formalisation of ecohydrological expert knowledge applying fuzzy techniques [J].