Heavy metal spatial variability and historical changes in the Yangtze River estuary and North Jiangsu tidal flat

Li, Yong; Pan, Shaoming; Sun, Zhuyou; Ma, Rong; Chen, Lanhua; Wang, Yanlong; Wang, Shuao

doi:10.1016/j.marpolbul.2015.07.006

Cited by 47 publications

(13 citation statements)

References 36 publications

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“…3 that in most samples, Mn was present at higher percentages (with an average of 15.34%) in the acid-soluble fractions (the most labile fraction), suggesting that Mn is more mobile and potentially more bioavailable in soil. The relatively higher percentage of Mn in the weakly bound fraction was probably due to its special affinity for carbonate (Nemati et al 2009; Qiao et al 2013; Liu et al 2015). Soils from the studied area contained variable amounts of carbonate minerals, specially calcite and dolomite (as indicated by XRD analysis).…”

Section: Resultsmentioning

confidence: 99%

“…In this fraction, metals have the strongest associations with the crystalline structures of the minerals and are therefore the most difficult to extract and hardly escape from the restriction of crystal lattice (Tessier et al 1979; Anju and Banerjee 2010; Liu et al 2015; Sipos et al 2016). The high percentage (>50%) of Fe, Cr, Co, Ni, Cu, and Zn in the residual fraction suggests that a large amount of these elements derives from geogenic sources (iron ore mineralization in the area).…”

Section: Resultsmentioning

confidence: 99%

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Distribution of potentially toxic elements (PTEs) in tailings, soils, and plants around Gol-E-Gohar iron mine, a case study in Iran

Soltani

Keshavarzi

Moore

et al. 2017

Environ Sci Pollut Res

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This study investigated the concentration of potentially toxic elements (PTEs) including Al, As, Cd, Co, Cr, Cu, Fe, Hg, Mn, Mo, Ni, Pb, Sb, V, and Zn in 102 soils (in the Near and Far areas of the mine), 7 tailings, and 60 plant samples (shoots and roots of Artemisia sieberi and Zygophylum species) collected at the Gol-E-Gohar iron ore mine in Iran. The elemental concentrations in tailings and soil samples (in Near and Far areas) varied between 7.4 and 35.8 mg kg−1 for As (with a mean of 25.39 mg kg−1 for tailings), 7.9 and 261.5 mg kg−1 (mean 189.83 mg kg−1 for tailings) for Co, 17.7 and 885.03 mg kg−1 (mean 472.77 mg kg−1 for tailings) for Cu, 12,500 and 400,000 mg kg−1 (mean 120,642.86 mg kg−1 for tailings) for Fe, and 28.1 and 278.1 mg kg−1 (mean 150.29 mg kg−1 for tailings) for Ni. A number of physicochemical parameters and pollution index for soils were determined around the mine. Sequential extractions of tailings and soil samples indicated that Fe, Cr, and Co were the least mobile and that Mn, Zn, Cu, and As were potentially available for plants uptake. Similar to soil, the concentration of Al, As, Co, Cr, Cu, Fe, Mn, Mo, Ni, and Zn in plant samples decreased with the distance from the mining/processing areas. Data on plants showed that metal concentrations in shoots usually exceeded those in roots and varied significantly between the two investigated species (Artemisia sieberi > Zygophylum). All the reported results suggest that the soil and plants near the iron ore mine are contaminated with PTEs and that they can be potentially dispersed in the environment via aerosol transport and deposition.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Distribution of potentially toxic elements (PTEs) in tailings, soils, and plants around Gol-E-Gohar iron mine, a case study in Iran

Soltani

Keshavarzi

Moore

et al. 2017

Environ Sci Pollut Res

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“…Heavy metals found in residual fractions (F4) are aquatic/non-bioavailable biota (Ramirez et al, 2005;Situmorang et al, 2010;Gu, 2018). The high percentage of residual fraction of heavy Cu metals in resistant, bind strongly to sedimentary minerals (Liu et al, 2015). In general, this residual fraction shows low toxicity and is not available to be absorbed by sediments was also found in the waters of the Berau Delta, East Kalimantan (Situmorang et al, 2010), Guangdong east coast, South China (Gu and Lin, 2016), North Persian Gulf (Neyestani et al, 2016) and the Caspian Sea (Bastami et al, 2018).…”

Section: Resultsmentioning

confidence: 99%

“…Sediment samples for geochemical analysis are dried first at 80°C, then mashed with mortar (Liu et al, 2015;Bastami et al, 2017). The sediment samples are then analyzed by sequential extraction (Takarina, 2014).…”

Section: Methodsmentioning

confidence: 99%

Source Identification, Bioavailability, and Risk Assessment based on Geochemical Fractionation of Heavy Metals Pb, Cu, and Zn in Surface Sediments of Kelabat Bay, Bangka Island

2019

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Although concentrations of many heavy metals has been measured totally, they may not give a good indicator for environmentally hazard to organism. The purpose of this study is to identify sources, determine bioavailability, and assess risk based on the geochemical fractionation of heavy metals Pb, Cu and Zn on the surface sediments of Kelabat Bay, Bangka Island. Fractionation of heavy metals was analyzed by sequential extraction. The concentrations of heavy metals Pb, Cu, and Zn in sediments ranged from 8.86-29.21 mg.kg-1 (average 16.85 mg /kg), 0.16-9.54 mg.kg-1 (average 4.39 mg.kg-1), and 25.58-237.24 mg.kg-1 (average 71.99 mg.kg-1). Pb and Zn in Kelabat Bay are more bound to non-residual fractions (F1+F2+F3) or non-resistant with a range of 60.63-89.87% and 47.98-84.66% that are mainly come from anthropogenic activities. Cu tend to be stored or bound to the residual fraction (F4) with a proportion of 97.7-100% meaning that it comes from natural sources. Based on the Risk Assessment Code (RAC), Pb have a low to moderate risk in the environment and Zn heavy metals are not at risk to low. These conditions indicate the potential for biological availability (bioavailability) of Pb and Zn in the inner bay waters. For heavy metals Cu is not at risk in the environment.

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“…It is called 'ecosystem engineer' because of its significant role in the ecological environment (Lee 1998). However, the population of S. dehaani has been declining, due to the large use of heavy metals in industrial and agricultural activities (Wang et al 2014;Liu et al 2015). Mitochondrial genomes (mitogenomes) play important roles in phylogenetic relationships analysis (Allcock et al 2011).…”

Section: Mitochondrial Genome; Sesarma Dehaani; Phylogenetic Relationmentioning

confidence: 99%

Characterization of the complete mitochondrial genome of Sesarma dehaani with phylogenetic analysis

Yuan

et al. 2019

Mitochondrial DNA Part B

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2019) Characterization of the complete mitochondrial genome of Sesarma dehaani with phylogenetic analysis, Mitochondrial DNA Part B, 4:1, 350-351, ABSTRACTIn this study, we first determined the complete mitochondrial genome of Sesarma dehaani. The mitogenome genome is a circular molecule of 15,917 bp, composed of 13 protein coding genes (PCGs), 22 tRNAs, two rRNAs, and one non-coding region. The heavy strand was predicted to have 9 PCGs, 14 tRNA genes, and a D-loop region, while the light strand was predicted to include 4 PCGs, 2 rRNA genes, 8 tRNA genes. ATG and TAA are the dominant initiation codon and stop codon, respectively. The phylogenetic analysis shows that S. dehaani and Sesarma neglectum have close relationships. ARTICLE HISTORY

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Heavy metal spatial variability and historical changes in the Yangtze River estuary and North Jiangsu tidal flat

Cited by 47 publications

References 36 publications

Distribution of potentially toxic elements (PTEs) in tailings, soils, and plants around Gol-E-Gohar iron mine, a case study in Iran

Distribution of potentially toxic elements (PTEs) in tailings, soils, and plants around Gol-E-Gohar iron mine, a case study in Iran

Source Identification, Bioavailability, and Risk Assessment based on Geochemical Fractionation of Heavy Metals Pb, Cu, and Zn in Surface Sediments of Kelabat Bay, Bangka Island

Characterization of the complete mitochondrial genome of Sesarma dehaani with phylogenetic analysis

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