Literature DB >> 26452659

Heavy metals in the gold mine soil of the upstream area of a metropolitan drinking water source.

Huaijian Ding1, Hongbing Ji2,3, Lei Tang1,4, Aixing Zhang1, Xinyue Guo1, Cai Li1, Yang Gao1, Mergem Briki1.   

Abstract

Pinggu District is adjacent to the county of Miyun, which contains the largest drinking water source of Beijing (Miyun Reservoir). The Wanzhuang gold field and tailing deposits are located in Pinggu, threatening Beijing's drinking water security. In this study, soil samples were collected from the surface of the mining area and the tailings piles and analyzed for physical and chemical properties, as well as heavy metal contents and particle size fraction to study the relationship between degree of pollution degree and particle size. Most metal concentrations in the gold mine soil samples exceeded the background levels in Beijing. The spatial distribution of As, Cd, Cu, Pb, and Zn was the same, while that of Cr and Ni was relatively similar. Trace element concentrations increased in larger particles, decreased in the 50-74 μm size fraction, and were lowest in the <2 μm size fraction. Multivariate analysis showed that Cu, Cd, Zn, and Pb originated from anthropogenic sources, while Cr, Ni, and Sc were of natural origin. The geo-accumulation index indicated serious Pb, As, and Cd pollution, but moderate to no Ni, Cr, and Hg pollution. The Tucker 3 model revealed three factors for particle fractions, metals, and samples. There were two factors in model A and three factors for both the metals and samples (models B and C, respectively). The potential ecological risk index shows that most of the study areas have very high potential ecological risk, a small portion has high potential ecological risk, and only a few sampling points on the perimeter have moderate ecological risk, with higher risk closer to the mining area.

Entities:  

Keywords:  Heavy metals; Mine soil; Multivariate analysis; Risk assessment; Source identification; Tucker 3 model

Mesh:

Substances:

Year:  2015        PMID: 26452659     DOI: 10.1007/s11356-015-5479-2

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  20 in total

1.  Multivariate statistical and GIS-based approach to identify heavy metal sources in soils.

Authors:  A Facchinelli; E Sacchi; L Mallen
Journal:  Environ Pollut       Date:  2001       Impact factor: 8.071

2.  Assessment of metal mobility in dredged harbour sediments from Barcelona, Spain.

Authors:  A Guevara-Riba; A Sahuquillo; R Rubio; G Rauret
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3.  [Distribution characteristic and assessment of soil heavy metal pollution in the iron mining of Baotou in Inner Mongolia].

Authors:  Wei Guo; Ren-Xin Zhao; Jun Zhang; Yu-Ying Bao; Hong Wang; Ming Yang; Xiao-Li Sun; Fan Jin
Journal:  Huan Jing Ke Xue       Date:  2011-10

4.  Chemometric analysis of soil pollution data using the Tucker N-way method.

Authors:  I Stanimirova; K Zehl; D L Massart; Y Vander Heyden; J W Einax
Journal:  Anal Bioanal Chem       Date:  2006-05-16       Impact factor: 4.142

5.  Application of multivariate statistical approach to identify heavy metal sources in bottom soil of the Seyhan River (Adana), Turkey.

Authors:  M Gurhan Yalcin; Ali Tumuklu; Mustafa Sonmez; Dilek Satir Erdag
Journal:  Environ Monit Assess       Date:  2009-04-21       Impact factor: 2.513

Review 6.  A review of soil heavy metal pollution from mines in China: pollution and health risk assessment.

Authors:  Zhiyuan Li; Zongwei Ma; Tsering Jan van der Kuijp; Zengwei Yuan; Lei Huang
Journal:  Sci Total Environ       Date:  2013-09-25       Impact factor: 7.963

7.  Metal fractionation study on bed sediments of River Yamuna, India.

Authors:  C K Jain
Journal:  Water Res       Date:  2004-02       Impact factor: 11.236

8.  Speciation, characterization, and mobility of As, Se, and Hg in flue gas desulphurization residues.

Authors:  Souhail R Al-Abed; Gautham Jegadeesan; Kirk G Scheckel; Thabet Tolaymat
Journal:  Environ Sci Technol       Date:  2008-03-01       Impact factor: 9.028

9.  Pollution and health risk of potentially toxic metals in urban road dust in Nanjing, a mega-city of China.

Authors:  Enfeng Liu; Ting Yan; Gavin Birch; Yuxin Zhu
Journal:  Sci Total Environ       Date:  2014-02-01       Impact factor: 7.963

10.  Fine particulate air pollution and hospital admission for cardiovascular and respiratory diseases.

Authors:  Francesca Dominici; Roger D Peng; Michelle L Bell; Luu Pham; Aidan McDermott; Scott L Zeger; Jonathan M Samet
Journal:  JAMA       Date:  2006-03-08       Impact factor: 56.272

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  2 in total

1.  Heavy metal pollution in soil associated with a large-scale cyanidation gold mining region in southeast of Jilin, China.

Authors:  Mo Chen; Wenxi Lu; Zeyu Hou; Yu Zhang; Xue Jiang; Jichun Wu
Journal:  Environ Sci Pollut Res Int       Date:  2016-11-17       Impact factor: 4.223

2.  Characteristics of metal contamination in paddy soils from three industrial cities in South Korea.

Authors:  In-Gyu Cho; Min-Kyu Park; Hye-Kyung Cho; Jin-Woo Jeon; Sung-Eun Lee; Sung-Deuk Choi
Journal:  Environ Geochem Health       Date:  2019-01-23       Impact factor: 4.609

  2 in total

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