Literature DB >> 28363446

Spatial distribution and source identification of heavy metals in surface soils in a typical coal mine city, Lianyuan, China.

Jie Liang1, Chunting Feng2, Guangming Zeng2, Xiang Gao2, Minzhou Zhong2, Xiaodong Li2, Xin Li2, Xinyue He2, Yilong Fang2.   

Abstract

In this study, we investigated the pollution degree and spatial distribution of heavy metals and determined their sources in topsoil in a typical coal mine city, Lianyuan, Hunan Province, China. We collected 6078 soil surface samples in different land use types. And the concentrations of Zn, Cd, Cu, Hg, Pb, Sb, As, Mo, V, Mn, Fe and Cr were measured. The average contents of all heavy metals were lower than their corresponding Grade II values of Chinese Soil Quality Standard with the exception of Hg. However, average contents of twelve heavy metals, except for Mn, exceeded their background level in soils in Hunan Province. Based on one-way analysis of variance (ANOVA), the contents of Cu, Zn, Cd, Pb, Hg, Mo and V were related to the anthropogenic source and there were statistically significant differences in their concentrations among different land use patterns. The spatial variation of heavy metal was visualized by GIS. The PMF model was used to ascertain contamination sources of twelve heavy metals and apportion their source contributions in Lianyuan soils. The results showed that the source contributions of the natural source, atmospheric deposition, industrial activities and agricultural activities accounted for 33.6%, 26.05%, 23.44% and 16.91%, respectively.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Heavy metals; Positive matrix factorization (PMF); Soil; Source apportionment; Spatial distribution

Mesh:

Substances:

Year:  2017        PMID: 28363446     DOI: 10.1016/j.envpol.2017.03.057

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  37 in total

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2.  Geochemical and anthropogenic factors of variability of heavy metals content in the soils and crops of Ukraine at the example of copper.

Authors:  D O Semenov; A I Fatjejev; K B Smirnova; A M Shemet; O A Lykova; N V Tyutyunnyk; I A Pogromska
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3.  Spatial distribution and sources of seven available heavy metals in the paddy soil of red region in Hunan Province of China.

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Journal:  Environ Monit Assess       Date:  2018-09-27       Impact factor: 2.513

4.  Environmental risk assessment of radioactivity and heavy metals in soil of Toplica region, South Serbia.

Authors:  Vladica Stevanović; Ljiljana Gulan; Biljana Milenković; Aleksandar Valjarević; Tijana Zeremski; Ivana Penjišević
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5.  Spatial trends and pollution assessment for mercury in the surface soils of the Nansi Lake catchment, China.

Authors:  Ming-Yi Ren; Li-Yuan Yang; Long-Feng Wang; Xue-Mei Han; Jie-Rui Dai; Xu-Gui Pang
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6.  Contaminant characteristics and environmental risk assessment of heavy metals in the paddy soils from lead (Pb)-zinc (Zn) mining areas in Guangdong Province, South China.

Authors:  Da-Mao Xu; Bo Yan; Tao Chen; Chang Lei; Han-Zhi Lin; Xian-Ming Xiao
Journal:  Environ Sci Pollut Res Int       Date:  2017-09-10       Impact factor: 4.223

Review 7.  Heavy metal pollution in immobile and mobile components of lentic ecosystems-a review.

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Journal:  Environ Sci Pollut Res Int       Date:  2017-12-15       Impact factor: 4.223

8.  Geochemical determination and pollution assessment of heavy metals in agricultural soils of south western of Iran.

Authors:  Mehdi Ahmadi; Razegheh Akhbarizadeh; Neematollah Jaafarzadeh Haghighifard; Gelavizh Barzegar; Sahand Jorfi
Journal:  J Environ Health Sci Eng       Date:  2019-06-06

9.  Estimating the pollution characteristics and health risks of potentially toxic metal(loid)s in urban-industrial soils in the Indus basin, Pakistan.

Authors:  Samina Irshad; Guijian Liu; Balal Yousaf; Habib Ullah; Muhammad Ubaid Ali; Jörg Rinklebe
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10.  Soil heavy metal contamination and health risk assessment associated with development zones in Shandong, China.

Authors:  Huimin Zhuo; Sanze Fu; Heng Liu; Hui Song; Lijun Ren
Journal:  Environ Sci Pollut Res Int       Date:  2019-08-14       Impact factor: 4.223

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