Evaluation of spatial and temporal variations in marine sediments quality using multivariate statistical techniques |
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Authors: | Odalys Quevedo Alvarez Margarita Edelia Villanueva Tagle Jorge L. Gómez Pascual Ma. Teresa Larrea Marín Ana Catalina Nuñez Clemente Miriam Odette Cora Medina Raiza Rey Palau Mario Simeón Pomares Alfonso |
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Affiliation: | 1. Centro de Investigaciones del Petróleo, Churruca 481, Cerro, La Habana, Cuba 2. Departamento de Química General, Facultad de Química, Universidad de la Habana, Calle Zapata, s/n, CP 10400, La Habana, Cuba 3. Centro Nacional de Investigaciones Metalúrgicas (CSIC), 28040, Madrid, Spain 4. Instituto de Ciencia y Tecnología de Materiales, Universidad de La Habana, Calle Zapata, s/n, CP 10400, La Habana, Cuba
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Abstract: | Spatial and temporal variations of sediment quality in Matanzas Bay (Cuba) were studied by determining a total of 12 variables (Zn, Cu, Pb, As, Ni, Co, Al, Fe, Mn, V, CO3 2?, and total hydrocarbons (THC). Surface sediments were collected, annually, at eight stations during 2005–2008. Multivariate statistical techniques, such as principal component (PCA), cluster (CA), and lineal discriminant (LDA) analyses were applied for identification of the most significant variables influencing the environmental quality of sediments. Heavy metals (Zn, Cu, Pb, V, and As) and THC were the most significant species contributing to sediment quality variations during the sampling period. Concentrations of V and As were determined in sediments of this ecosystem for the first time. The variation of sediment environmental quality with the sampling period and the differentiation of samples in three groups along the bay were obtained. The usefulness of the multivariate statistical techniques employed for the environmental interpretation of a limited dataset was confirmed. |
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