Alvarez Odalys Quevedo, Tagle Margarita Edelia Villanueva, Pascual Jorge L Gómez, Marín Ma Teresa Larrea, Clemente Ana Catalina Nuñez, Medina Miriam Odette Cora, Palau Raiza Rey, Alfonso Mario Simeón Pomares
Environ Monit Assess. 2014 Oct;186(10):6867-78. doi: 10.1007/s10661-014-3895-2. Epub 2014 Jul 12.
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, CO₃²⁻, 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.
通过测定总共12个变量（锌、铜、铅、砷、镍、钴、铝、铁、锰、钒、碳酸根离子和总烃），研究了古巴马坦萨斯湾沉积物质量的时空变化。在2005 - 2008年期间，每年在8个站点采集表层沉积物。应用了多元统计技术，如主成分分析（PCA）、聚类分析（CA）和线性判别分析（LDA），以确定影响沉积物环境质量的最重要变量。重金属（锌、铜、铅、钒和砷）和总烃是采样期间导致沉积物质量变化的最重要物质。首次测定了该生态系统沉积物中钒和砷的浓度。得出了沉积物环境质量随采样时间的变化以及沿海湾样本分为三组的差异。证实了所采用的多元统计技术对有限数据集进行环境解释的有效性。
