Modeling bio-geochemical interactions in the surface waters of the Gulf of Trieste by three-way principal component analysis (PCA)

被引:32
作者
Barbieri, P
Andersson, CA
Massart, DL
Predonzani, S
Adami, G
Reisenhofer, E
机构
[1] Univ Trieste, Dept Chem Sci, I-34127 Trieste, Italy
[2] Royal Vet & Agr Univ, Dept Dairy & Food Sci, Chemometr Grp, DK-1958 Frederiksberg C, Denmark
[3] Free Univ Brussels, Inst Pharmaceut, B-1090 Brussels, Belgium
[4] Biol Marine Lab, I-34010 Trieste, Italy
关键词
three-way principal component analysis (PCA); missing values; environmental monitoring; estuary; micronutrients; chlorophyll a; Gulf of Trieste;
D O I
10.1016/S0003-2670(99)00418-3
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Data of temperature, salinity, dissolved oxygen, nutrients and chlorophyll measured on samples of surface seawater and collected monthly during 2 years in different sites of the Gulf of Trieste are modeled by means of three-way principal component analysis (PCA). Missing values are handled using an expectation maximization algorithm, regression or substitution with random numbers, depending on their origin. Physicochemical parameters are described by three different components that explain the effect of the river input on the seawater pattern, the effect of temperature, and metabolic-catabolic activity of the phytoplankton, respectively. One spatial component accounts for the gradient of influence of the estuarine waters in the Gulf, and three temporal components characterize three main seasonal conditions. Anomalous situations, generated by meteoclimatic events, are highlighted. (C) 1999 Elsevier Science B,V, All rights reserved.
引用
收藏
页码:227 / 235
页数:9
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