Sources identification and pollution evaluation of heavy metals in the surface sediments of Bortala River, Northwest China

Zhang, Zhaoyong; Li, Juying; Mamat, Zulpiya; Ye, Qingfu

doi:10.1016/j.ecoenv.2015.12.025

Cited by 241 publications

(90 citation statements)

References 38 publications

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“…Polychlorinated biphenyls (PCBs) and heavy metals are two groups of pollutants extensively referred in the bibliography as resulting from anthropogenic activities which are found associated with sediments (Desmet et al 2012;Zhang et al 2016;Guan et al 2016). …”

Section: Introductionmentioning

confidence: 99%

Heavy metal and PCB spatial distribution pattern in sediments within an urban catchment—contribution of historical pollution sources

et al. 2016

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Purpose This work analyzes polychlorinated biphenyl (PCB) and heavy metal contamination in fluvial sediments and soils in an urban catchment, according to the geo-accumulation index and to soil and sediment quality guidelines. The catchment is located in Coimbra, Portugal, being affected by frequent flooding, and its main stream is a tributary to one of the major rivers in Portugal (Mondego). Given the presence of industrial activities over time, some inputs of pollutants are expected, but so far, the legacy of historic pollution in this catchment has not yet been investigated. Materials and methods Twenty-five samples were collected from nine sampling sites at the depths of 0-20, 20-40 and 40-60 cm (to provide a historic perspective) along longitudinal profiles (streamlines) and in soils downstream of pollution sources. These samples were analyzed for six heavy metals (Cu, Cr, Pb, Cd, Zn, Ni), organic carbon, pH and ten PCBs (IUPAC numbers 28, 30, 52, 101, 138, 153, 166, 180, 204, 209). Results and discussion Total PCB concentrations ranged 0.47-5.3 ng g −1 dry weight (dw), and levels increase from the bottom to the top layers, suggesting an increased input over the last 100 years. PCB congener distribution shows the dominance of hexachlorobiphenyls, especially PCB138, suggesting the existence of local sources. PCB levels did not exceed sediment quality levels, placing sediments/soil under class 1 (not contaminated) or class 2 (trace contamination) with respect to PCB. All six metals exceeded the lowest effect level for sediment quality criteria, and three (Cd, Pb and Zn) largely exceeded the clean levels for dredged materials, placing sediments in class 5 (heavily contaminated). Sampling site S1 presented the highest concentrations of Zn, Pb and Cd, and historic vehicle traffic was identified as the most likely source, given the vertical and horizontal profiles.Conclusions High levels of Pb, Cd and Zn were found in fluvial sediments at some locations of the Loreto catchment, likely from historic traffic sources. This urban area is frequently affected by flooding events and is currently being subject to urban redevelopment. During these events/actions, historic pollutants in the sediments might surface and be redistributed, impacting the downstream ecosystem of the major Mondego River or increasing the risk of exposure of the urban population.

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Section: Introductionmentioning

confidence: 99%

Heavy metal and PCB spatial distribution pattern in sediments within an urban catchment—contribution of historical pollution sources

et al. 2016

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“…37 . In the Bortala River (China) 38 As concentration ranged from 3.27 to 10.34 mg kg -1 and Hg 0.01 to1.69 mg kg -1 in eight sites studied. The concentration of Hg in the Chilean reservoirs in this study was generally in accordance with the lower limits of the rivers mentioned above, while the concentration of As was relatively similar to those found in the Ebro river basin; however, values were very different and lower than in some sites of the other rivers, probably due to a strong anthropic source in these rivers.…”

Section: Validation Of the Analytical Methodsmentioning

confidence: 99%

Distribution of Arsenic and Mercury in the Aquatic Ecosystem of the Five Chilean Reservoirs

Copaja

Nuñez

Véliz

2016

J. Chil. Chem. Soc.

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Arsenic and mercury are among the metals and metalloids more toxic to the ecosystem. A quantification method by atomic absorption spectroscopy with hydride generator (AAS-HG) to determine total As and cold steam to determine Hg was optimized and validated in various matrices: superficial water, interstitial or pore water, sediments and in gill, liver and muscle of two fish species, a silverside (Basilichthys microlepidotus) and a catfish (Trichomycterus areolatus). The quality of the results was tested using certified reference materials (Water: ERM-CA615; Fish: DOLT-4; Sediment: BCR-320R). Samples were collected in the affluent and effluent of five reservoirs: Cogotí (31º00'S, 71º05'W); Corrales (31º54ºS, 70º54'W); La Paloma (30º44'S, 71º00'W); Rapel (34º08'S, 71º29'O); Recoleta (30º28'S, 71º06'W). ), in two campaigns during high flow (winter 2010) and low flow (summer 2011).The results show a clear difference in the distribution of As and Hg in the different matrices; higher concentrations were found in the order sediment ˃ interstitial water ˃ surface water. Catfish showed higher accumulation of both metals, and metal concentrations generally decreased in the order liver > gill > muscle. No significant effect of reservoirs and zones was observed in As and Hg content. However, Arsenic (As) was found in higher concentration in the different matrices of the five reservoirs and zones. The concentrations of As and Hg in all samples did not exceed international standards in the case of sediment and the Chilean norm in the case of water, while in both fish species concentrations of As and Hg in muscle exceeded international standards.

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“…Heavy metals and other toxic substances could be absorbed from the water column onto surfaces of fine particles and usually move thereafter with the sediments (El Nemr and El-Sadaawy, 2016;El Nemr et al, 2007, 2016Yang et al, 2012). Sediments can act as a true ''sink'' for heavy metals, making the analytical determination of their concentrations easier and supplying time-integrated information about the ecosystem's health (Weber et al, 2013;Zhang et al, 2016). Fixed heavy metals to sediments may be recycled back to the water column via chemical and biological processes (Yang et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Assessment and Ecological Risk of Heavy Metals in Sediment and Molluscs from the Mediterranean Coast

Nemr

El‐Said

2017

Water Environment Research

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Heavy metal contamination in both sediments and molluscs from the Egyptian Mediterranean coast was investigated. Seawater, sediments, and mollusc samples were collected from representative locations along the coastal area. Different representations of the data set, including, statistical methods (correlation matrix and cluster analyses), various sediment quality assessment methods, and bioaccumulation factor calculation, were combined to investigate the trends of heavy metals, identify pollution sources, and assess sediment quality from a toxicological point of view. The measurements of dissolved oxygen (DO) revealed to relatively well oxygenate surface water in all locations. There is a distinct change in the contents of heavy metals (Fe, Al, Zn, Cu, Ni, Cr, Pb, Cd, and Hg) among the sampling sediments. The statistical interpretations showed that the bio-availability of the studied heavy metals is controlled by different factors, including the geochemistry of sediments, the hydrology of the system, the uptake of metals from sediments, as well as human anthropogenic activities. Although, there are still certain points of the Egyptian Mediterranean coast with a relatively high concentration of toxic metals, the toxicological approach suggests that the risk for living organisms is not high, but, in the long run, toxicological implications can appear. These results can provide useful information for the local managers and decision makers.

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Sources identification and pollution evaluation of heavy metals in the surface sediments of Bortala River, Northwest China

Cited by 241 publications

References 38 publications

Heavy metal and PCB spatial distribution pattern in sediments within an urban catchment—contribution of historical pollution sources

Heavy metal and PCB spatial distribution pattern in sediments within an urban catchment—contribution of historical pollution sources

Distribution of Arsenic and Mercury in the Aquatic Ecosystem of the Five Chilean Reservoirs

Assessment and Ecological Risk of Heavy Metals in Sediment and Molluscs from the Mediterranean Coast

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