Multivariate statistical and GIS-based approach to evaluate heavy metals behavior in mine sites for future reclamation

被引:164
|
作者
Acosta, J. A. [1 ,2 ]
Faz, A. [2 ]
Martinez-Martinez, S. [2 ]
Zornoza, R. [2 ]
Carmona, D. M. [2 ]
Kabas, S. [2 ]
机构
[1] Univ Amsterdam, Inst Biodivers & Ecosyst Dynam, NL-1018 WV Amsterdam, Netherlands
[2] Tech Univ Cartagena, Sustainable Use Management & Reclamat Soil & Wate, Murcia 30203, Spain
关键词
Heavy metal; Multivariate analysis; GIS; Reclamation; Tailing pond; Soil pollution; SOIL ORGANIC-MATTER; SPATIAL VARIABILITY; AGRICULTURAL SOILS; CONTAMINATED SOIL; CHELATING-AGENTS; CARTAGENA; TAILINGS; WATER; ZN; MANAGEMENT;
D O I
10.1016/j.gexplo.2011.01.004
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Soil contamination by metals has become a widespread serious problem in many parts of the world. Two tailing ponds (Lirio and Gorguel) from an abandoned Pb-Zn mine for a future reclamation were selected, surface samples were taken and analyzed for waste properties and total, extractable by DTPA and water-soluble Pb, Cu, Zn and Cd content. Results showed that both ponds were polluted by Cd, Pb, and Zn. High total concentrations of Zn and Pb and high percentage of extractable-Cd in both ponds suggested high risk of mobility via plants uptake. Due to high concentrations of soluble Zn and percentages of soluble Cd. especially in Lirio pond, these metals could be mobilized by runoff water and reach streams or leach to waste deep layers and contaminate soil and even groundwater. Thus, the immobilization of these metals should be a priority in reclamation actions. Statistical analyses showed that, for Lirio pond, soluble Cd and Zn and extractable Cd. Zn and Pb concentrations were increased by the presence of organic matter, due likely to formation of soluble organic ligands. Clay and electrical conductivity also increased soluble and extractable Zn concentrations, which could be attributed to adsorption of metals for clays combined by the effect of competition for sorption sites with cations and metal-complexation with anions. Finally, soluble Pb was controlled by pH. Therefore, it is recommended the use of alkaline amendment, which will increase the pH and immobilize the metals preventing the effect of organic matter. However, in Gorguel pond, the concentration of soluble and extractable Zn. Pb and Cd were dependent on pH and salinity. Since the pH of this pond is high, it is not necessary to increase it. Oppositely, the reclamation program should include actions to reduce soluble salts generated by oxidation process, which would reduce heavy metal mobility. A GIS-based approach was adopted to identify highest risk sites, where main efforts of reclamation and monitoring should be realized. Three locations in the Lirio pond and two in the Gorguel pond were selected according to their environmental risk, north, south and west edges for Lirio and west and center for Gorguel. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:8 / 17
页数:10
相关论文
共 50 条
  • [31] Assessing heavy-metal contamination and sources by GIS-based approach and multivariate analysis of urban-rural topsoils in Wuhan, central China
    Gong, Min
    Wu, Li
    Bi, Xiang-yang
    Ren, Li-min
    Wang, Lei
    Ma, Zhen-dong
    Bao, Zheng-yu
    Li, Zhong-gen
    ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2010, 32 (01) : 59 - 72
  • [32] Effect of I- and S-type granite parent material mineralogy and geochemistry on soil fertility: A multivariate statistical and Gis-based approach
    Agra Bezerra da Silva, Ygor Jacques
    Araujo do Nascimento, Clistenes Williams
    van Straaten, Peter
    Biondi, Caroline Miranda
    de Souza Junior, Valdomiro Severino
    Agra Bezerra da Silva, Yuri Jacques
    CATENA, 2017, 149 : 64 - 72
  • [33] Multivariate statistical and GIS-based approach for the identification of Mn and Ni concentrations and spatial variability in soils of a humid mediterranean environment: La Rioja, Spain
    Department of Food and Agriculture, Universidad de la Rioja, Logroño, Spain
    不详
    Water Air Soil Pollut., 1-4 (271-284):
  • [34] GIS-based assessment of selective heavy metals and stable carbon isotopes in groundwater of Islamabad and Rawalpindi, Pakistan
    Rana, Sidra Aman
    Ali, Syeda Maria
    Ashraf, Muhammad
    Shah, Ashfaq Ahmad
    Iqbal, Kanwar Muhammad Javed
    Ullah, Wahid
    Tariq, Muhammad Atiq Ur Rehman
    Iqbal, Naveed
    Akhtar, Nadia
    Ulain, Qurrat
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [35] GIS-based comparative characterization of groundwater quality of Tabas basin using multivariate statistical techniques and computational intelligence
    Aryafar, A.
    Khosravi, V
    Hooshfar, F.
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 2019, 16 (10) : 6277 - 6290
  • [36] GIS-based comparative characterization of groundwater quality of Tabas basin using multivariate statistical techniques and computational intelligence
    A. Aryafar
    V. Khosravi
    F. Hooshfar
    International Journal of Environmental Science and Technology, 2019, 16 : 6277 - 6290
  • [37] Heavy metals fractionation and multivariate statistical techniques to evaluate the environmental risk in soils of Huelva Township (SW Iberian Peninsula)
    Tulio Guillen, Marco
    Delgado, Joaquin
    Albanese, Stefano
    Miguel Nieto, Jose
    Lima, Annamaria
    De Vivo, Benedetto
    JOURNAL OF GEOCHEMICAL EXPLORATION, 2012, 119 : 32 - 43
  • [38] A GIS-based approach for the long-term prediction of human health risks at contaminated sites
    Bień J.D.
    Ter Meer J.
    Rulkens W.H.
    Rijnaarts H.H.M.
    Environmental Modeling & Assessment, 2005, 9 (4) : 221 - 226
  • [39] A GIS-based approach for the long-term prediction of human health risks at contaminated sites
    Bien, JD
    ter Meer, J
    Rulkens, WH
    Rijnaarts, HHM
    ENVIRONMENTAL MODELING & ASSESSMENT, 2004, 9 (04) : 221 - 226
  • [40] Assessment of sources of heavy metals in soil and dust at children's playgrounds in Beijing using GIS and multivariate statistical analysis
    Jin, Yuanliang
    O'Connor, David
    Ok, Yong Sik
    Tsang, Daniel C. W.
    Liu, An
    Hou, Deyi
    ENVIRONMENT INTERNATIONAL, 2019, 124 : 320 - 328