Evaluation of trace elements and identification of pollution sources in particle size fractions of soil from iron ore areas along the Chao River

Qin, Fei; Ji, Hongbing; Li, Qian; Guo, Xinyue; Tang, Lei; Feng, Jinguo

doi:10.1016/j.gexplo.2013.12.005

Cited by 64 publications

(30 citation statements)

References 54 publications

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“…This may reflect that grassland soils are naturally richer in OM than others. These conclusions are consistent with the results of previous studies (Gao et al 2012;Huang et al 2013;Qin et al 2014).…”

Section: Soil Physical and Chemical Propertiessupporting

confidence: 94%

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

Ding

Tang

et al. 2015

Environ Sci Pollut Res

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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.

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Section: Soil Physical and Chemical Propertiessupporting

confidence: 94%

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

Ding

Tang

et al. 2015

Environ Sci Pollut Res

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“…Several elements are utilized as normalizer in enrichment factor, in particular element that have been associated with rock-forming minerals (see summary in Table 2). Fe is abundant in soils; considered to be free from anthropogenic contribution [1,12] Ca Ca is one of the main components of the Earth's Crust, concentration in soil is connected with the matrix, lower mining interference factor (MIF) compared to Al and Zr [9] Zr Zr has no significant anthropogenic source and resides primarily in the weathering-resistant heavy mineral Zircon [13] Sc Sc is stable to supergene processes associated with oxidation and chemical weathering [14] Sr Sr is one of the main components of the Earth's Crust, concentration in soil is connected with the matrix [15] Ti Ti is a common rock-forming element and very resistant to weathering in the soil.…”

Section: Soil Pollution Assessment Of Heavy Metals Using Enrichment Fmentioning

confidence: 99%

The Common Pitfall of Using Enrichment Factor in Assessing Soil Heavy Metal Pollution

2017

MJAS

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A soil pollution assessment of heavy metal Zn, Cu, Cr, Cd, Ni and Pb was carried out in Kuala Terengganu, Malaysia. A total of 245 surface soil samples were sampled and have been subjected to a total digestion and analyzed by inductive couple plasmaoptical emission spectrometry (ICP-OES). The contamination of the soils was assessed on the basis of enrichment factors (EFs). Large discrepancies in results of enrichment factor associated with the choices of reference elements in the EFs' calculation have been observed. Our study show that the choice of four commonly-used reference elements (Al, Fe, Ca and Mn) in enrichment calculation could easily alter the enrichment factor values of element of interest by more than 4-folds although the results were supposed to be similar regardless of which reference elements being used. This could lead to serious misinterpretation of soil quality assessment result.Keywords: soil quality assessment, Malaysia soil, elemental analysis, acid digestion Abstrak Satu penilaian pencemaran logam berat Zn, Cu, Cr, Cd, Ni dan Pb dalam tanah telah dijalankan di Kuala Terengganu, Malaysia. Sebanyak 245 sampel tanah telah diambil, diproses berdasarkan kaedah penghadaman asid dan kepekatan logam berat telah dianalisa dengan menggunakan spektrofotometer pancaran plasma gandingan aruhan (ICP-OES). Pencemaran tanah telah dinilai menggunakan pendekatan faktor pengkayaan. Kajian ini menunjukan nilai-nilai faktor pengkayaan boleh berbeza dengan ketara apabila pengiraan faktor pengkayaan dirujukkan kepada elemen rujukan yang berbeza. Kajian kami mendapati nilai-nilai faktor pengkayaan boleh berbeza sebanyak empat kali ganda apabila pengiraan faktor pengkayaan merujuk kepada Al, Fe, Ca dan Mn dan perbezaan nilai-nilai faktor pengkayaan boleh membawa wujudnya kesilapan dalam mentafsir kualiti tanah yang dikaji.

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“…Frequent mining activities have caused heavy metal pollution in the Miyun Reservoir and have directly affected water quality and safety. Several researchers have investigated the heavy metal distribution in the catchment area of Miyun Reservoir (Huang et al 2013;Qin et al 2014). However, few studies have characterized potential ecological risks of such distribution.…”

Section: Introductionmentioning

confidence: 99%

Illumina MiSeq sequencing investigation on the contrasting soil bacterial community structures in different iron mining areas

Chen

Xing

et al. 2015

Environ Sci Pollut Res

196

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Mine activities leaked heavy metals into surrounding soil and may affected indigenous microbial communities. In the present study, the diversity and composition of the bacterial community in soil collected from three regions which have different pollution degree, heavy pollution, moderate pollution, and non-pollution, within the catchment of Chao River in Beijing City, were compared using the Illumina MiSeq sequencing technique. Rarefaction results showed that the polluted area had significant higher bacterial alpha diversity than those from unpolluted area. Principal component analysis (PCA) showed that microbial communities in the polluted areas had significant differences compared with the unpolluted area. Moreover, PCA at phylum level and Matastats results demonstrated that communities in locations shared similar phyla diversity, indicating that the bacterial community changes under metal pollution were not reflected on phyla structure. At genus level, the relative abundance of dominant genera changed in sites with degrees of pollution. Genera Bradyrhizobium, Rhodanobacter, Reyranella, and Rhizomicrobium significantly decreased with increasing pollution degree, and their dominance decreased, whereas several genera (e.g., Steroidobacter, Massilia, Arthrobacter, Flavisolibacter, and Roseiflexus) increased and became new dominant genera in the heavily metal-polluted area. The potential resistant bacteria, found within the genera of Thiobacillus, Pseudomonas, Arthrobacter, Microcoleus, Leptolyngbya, and Rhodobacter, are less than 2.0 % in the indigenous bacterial communities, which play an important role in soil ecosystem. This effort to profile the background diversity may set the first stage for better understanding the mechanism underlying the community structure changes under in situ mild heavy metal pollution.

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Evaluation of trace elements and identification of pollution sources in particle size fractions of soil from iron ore areas along the Chao River

Cited by 64 publications

References 54 publications

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

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

The Common Pitfall of Using Enrichment Factor in Assessing Soil Heavy Metal Pollution

Illumina MiSeq sequencing investigation on the contrasting soil bacterial community structures in different iron mining areas

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