A 10-year survey of trace metals in sediments using self-organizing maps

被引：13

作者：

Besada, Victoria ^{[1
]}

Quelle, Cristina ^{[1
]}

Manuel Andrade, Jose ^{[2
]}

Gutierrez, Noemi ^{[2
]}

Paz Gomez-Carracedo, Maria ^{[2
]}

Schultze, Fernando ^{[1
]}

机构：

[1] Ctr Oceanog Vigo, Inst Espanol Oceanog, Vigo 36390, Spain

[2] Univ A Coruna, Dept Analyt Chem, La Coruna 15008, Spain

来源：

JOURNAL OF CHEMOMETRICS | 2014年 / 28卷 / 07期

关键词：

self-organizing maps; three-way unfolding; three-way unsupervised pattern recognition; trace metals; sediments; NW IBERIAN PENINSULA; GALICIAN RIAS; PROCRUSTES ROTATION; CLASSIFICATION; SPAIN; VIGO; DESCRIPTORS; WATERS; AREAS; LEAD;

D O I：

10.1002/cem.2615

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Self-organizing maps (SOMs) (in particular, Matrix reOrganization Layout to Map Analytical Patterns (MOLMAP)) were used to unravel the main patterns in a three-way dataset after a preliminary unfolding of the cube. Eleven sites of the ria of Vigo (NW of Spain) were monitored during the last decade (from 2000 to 2010) to assess pollution trends in this area. Twelve trace metals (Hg, Pb, Cd, Cu, Zn, Cr, As, Li, Fe, Al, Ni and Mn), the total organic carbon and the percentage of fine particles were measured. Results from MOLMAP, the SOM-based approach, were compared to those of three established alternatives: parallel factor analysis, matrix-augmented principal component analysis and generalized Procrustes rotation, the latter two employing unfolding as well. MOLMAP showed the best capabilities to differentiate groups of samples. The spatial and temporal trends, as well as the analytical variables causing them, were almost the same for all methods, which confirms MOLMAP as a simple and reliable methodology to treat three-way environmental datasets. Copyright (C) 2014 John Wiley & Sons, Ltd. 558

引用

页码：558 / 566

页数：9

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