X-Ray analysis of riverbank sediment of the Tisza (Hungary):: identification of particles from a mine pollution event

被引:23
作者
Osán, J
Kurunczi, S
Török, S
Van Grieken, R
机构
[1] KFKI Atom Energy Res Inst, H-1525 Budapest, Hungary
[2] Univ Instelling Antwerp, Dept Chem, B-2610 Wilrijk, Belgium
基金
美国国家科学基金会; 匈牙利科学研究基金会;
关键词
electron probe microanalysis; X-ray fluorescence; river sediment; principal component analysis;
D O I
10.1016/S0584-8547(01)00405-0
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
A serious heavy metal pollution of the Tisza River occurred on March 10, 2000, arising from a mine-dumping site in Romania. Sediment samples were taken from the main riverbed at six sites in Hungary, on March 16, 2000. The objective of this work was to distinguish the anthropogenic and crustal erosion particles in the river sediment. The samples were investigated using both bulk X-ray fluorescence (XRF) and thin-window electron probe microanalysis (EPMA). For EPMA, a reverse Monte Carlo method calculated the quantitative elemental composition of each single sediment particle. A high abundance of pyrite type particles was observed in some of the samples, indicating the influence of the mine dumps. Backscattered electron images proved that the size of particles with a high atomic number matrix was in the range of 2 mum. In other words the pyrites and the heavy elements form either small particles or are fragments of larger agglomerates, The latter are formed during the flotation process of the mines or get trapped to the natural crustal erosion particles. The XRF analysis of pyrite-rich samples always showed much higher Cu, Zn and Pb concentrations titan the rest of the samples, supporting the conclusions of the single-particle EPMA results. In the polluted samples, the concentration of Cu, Zn and Pb reached 0.1, 0.3 and 0.2 wt.%, respectively. As a new approach, the abundance of particle classes obtained from single-particle EPMA and the elemental concentration obtained by XRF were merged into one data set. The dimension of the common data set was reduced by principal component analysis. The first component was determined by the abundance of pyrite and zinc sulfide particles and the concentration of Cu, Zn and Pb. The polluted samples formed a distinct group in the principal component space. The same result was supported by powder diffraction data. These analytical data combined with Earth Observation Techniques can be further used to estimate the quantity of particles originating from mine tailings on a defined river section. (C) 2002 Elsevier Science B.V All rights reserved.
引用
收藏
页码:413 / 422
页数:10
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