Heavy metals in northern Chilean rivers: Spatial variation and temporal trends

被引:68
作者
Pizarro, Jaime [1 ]
Vergara, Pablo M. [1 ]
Rodriguez, Jose A. [1 ]
Valenzuela, Alejandra M. [1 ]
机构
[1] Univ Santiago Chile, Fac Ingn, Dept Ingn Geog, Santiago 3363, Chile
关键词
Heavy metals; Chilean rivers; Annual trends; Mining; WATER-QUALITY; ARSENIC ENRICHMENT; MONITORING WATER; SEDIMENTS; FRAMEWORK; WINBUGS; REGION; COPPER;
D O I
10.1016/j.jhazmat.2010.05.076
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Rivers of central-northern Chile are exposed to pollution from different sources, including mining activities, natural orogenic process, volcanic activity, and geology. In order to determine the contribution of mining to river pollution, the spatio-temporal dynamics of chemical species dissolved in 12 rivers of central-northern Chile was assessed. Of all the rivers studied, the Elqui showed the highest historical mean concentrations of As, Cu and Pb. The Aconcagua had the highest concentration of Hg and a large Cr concentration, while the Rapel showed elevated concentrations of Cu and Mo. The Elqui and the Aconcagua were clustered as distinct groups by a cluster analysis based on two independent principal components. Hierarchical Bayesian models showed annual trends but no seasonal effects in heavy metal concentrations. As and Cu in the Elqui had positive annual slopes. Sulphate concentration exceeded 100 mg L-1 in nine rivers, and in seven of them it had positive annual slopes. Our findings suggest that mining pollution is the main process contributing to this increasing annual trend in As, Cu and SO42-. Therefore, in order to improve the water quality of these rivers it is necessary to identify the main sources of heavy metals associated with mining activities. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:747 / 754
页数:8
相关论文
共 36 条
  • [1] *AM PUBL HLTH ASS, 1995, 4500E AM PUBL HLTH A
  • [2] The isotopic signature of the global riverine molybdenum flux and anoxia in the ancient oceans
    Archer, C.
    Vance, D.
    [J]. NATURE GEOSCIENCE, 2008, 1 (09) : 597 - 600
  • [3] Exploring ecological patterns with structural equation modeling and Bayesian analysis
    Arhonditsis, GB
    Stow, CA
    Steinberg, LJ
    Kenney, MA
    Lathrop, RC
    McBride, SJ
    Reckhow, KH
    [J]. ECOLOGICAL MODELLING, 2006, 192 (3-4) : 385 - 409
  • [4] Carpenter SR, 1998, ECOL APPL, V8, P559, DOI 10.1890/1051-0761(1998)008[0559:NPOSWW]2.0.CO
  • [5] 2
  • [6] Why environmental scientists are becoming Bayesians
    Clark, JS
    [J]. ECOLOGY LETTERS, 2005, 8 (01) : 2 - 14
  • [7] Priority substances of the European Water Framework Directive:: analytical challenges in monitoring water quality
    Coquery, M
    Morin, A
    Bécue, A
    Lepot, B
    [J]. TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2005, 24 (02) : 117 - 127
  • [9] Dokmeci AH, 2009, J ENVIRON PROT ECOL, V10, P84
  • [10] Short-term variability of dissolved trace element concentrations in the Marne and Seine Rivers near Paris
    Elbaz-Poulichet, Francoise
    Seidel, Jean-Luc
    Casiot, Corinne
    Tusseau-Vuillemin, Marie-Helene
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2006, 367 (01) : 278 - 287