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梅克内斯地区(摩洛哥中部)土壤、沉积物和水中重金属含量的多变量分析

Multivariate analysis of heavy metal contents in soils, sediments and water in the region of Meknes (central Morocco).

作者信息

Tahri M, Benyaïch F, Bounakhla M, Bilal E, Gruffat J J, Moutte J, Garcia D

机构信息

Université Moulay Ismaïl, Faculté des Sciences, Département de Physique, Béni M'Hamed, Meknès, Morocco.

出版信息

Environ Monit Assess. 2005 Mar;102(1-3):405-17. doi: 10.1007/s10661-005-6572-7.

Abstract

Concentrations of Al, Fe, Cr, Cu, Ni, Pb and Zn in soils, sediments and water samples collected along the Oued Boufekrane river (Meknes, central Morocco) were determined. In soils, a homogeneous distribution of metal concentrations was observed throughout the study area except for Pb, which presents high enrichment at sites located at the vicinity of a main highway. In sediments, high enrichment, with respect to upstream sites, were observed downstream of the city of Meknes for Al, Cr, Fe and Ni and inside the city for Cu, Zn and Pb. In water samples, the metal contents showed to correlate with their homologues in sediments suggesting that the metal contents in water and sediments have identical origins. Descriptive statistics and multivariate analysis (principal factor method, PFM) were used to assist the interpretation of elemental data. This allowed the determination of the correlations between the metals and the identification of three main factor loadings controlling the metal variability in soils and sediments.

摘要

测定了沿布费克拉内河(摩洛哥中部梅克内斯)采集的土壤、沉积物和水样中铝、铁、铬、铜、镍、铅和锌的浓度。在土壤中,除铅外,整个研究区域内金属浓度分布均匀,铅在一条主要公路附近的地点呈现出高富集。在沉积物中,与上游地点相比,梅克内斯市下游的铝、铬、铁和镍以及市内的铜、锌和铅出现了高富集。在水样中,金属含量与沉积物中的同源物相关,表明水和沉积物中的金属含量来源相同。使用描述性统计和多变量分析(主因子法,PFM)来辅助解释元素数据。这使得能够确定金属之间的相关性,并识别出控制土壤和沉积物中金属变异性的三个主要因子载荷。

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