Soares H M, Boaventura R A, Machado A A, Esteves da Silva J C
CTQAA-Center of Chemical, Environmental and Food Technology, Department of Chemical Engineering, Faculdade de Engenharia, Universidade do Porto, P4099 Porto Codex, Portugal.
Environ Pollut. 1999 Jun;105(3):311-23. doi: 10.1016/s0269-7491(99)00048-2.
The concentrations of heavy metals (Cd, Cr, Cu, Ni, Pb, Zn) were determined in river sediments collected at the Ave river basin (Portugal) to obtain a general classification scenery of the pollution in this highly polluted region. Multivariate data analysis techniques of clustering, principal components and eigenvector projections were used in this classification. Five general areas with different polluting characteristics were detected and several individual heavy metal concentration abnormalities were detected in restricted areas. A good correlation between the overall metal contamination determined by multivariate analysis and metal pollution indexes for all sampling stations was obtained. Some preliminary experiments showed that the metal concentrations normalised to the volatile matter content in the sediment fraction with grain size <63 microm seems to be an adequate method for assessing metal pollution.
测定了在阿维河流域（葡萄牙）采集的河流沉积物中重金属（镉、铬、铜、镍、铅、锌）的浓度，以获取该高度污染地区污染情况的总体分类图景。在此次分类中使用了聚类、主成分和特征向量投影等多元数据分析技术。检测到五个具有不同污染特征的一般区域，并且在受限区域检测到几个个别重金属浓度异常情况。通过多元分析确定的总体金属污染与所有采样站的金属污染指数之间存在良好的相关性。一些初步实验表明，将沉积物中粒径<63微米部分的金属浓度按挥发性物质含量进行归一化处理似乎是评估金属污染的一种适当方法。
