Distribution and risk assessment of metals in water, sediments, and wild fish from Jinjiang River in Chengdu, China

Liu, Xueping; Jiang, Jingyan; Yan, Yan; Dai, Yuanyuan; Deng, Biao; Ding, Sanglan; Su, Shijun; Sun, Weiyi; Li, Zhi; Gan, Zhiwei

doi:10.1016/j.chemosphere.2017.12.135

Cited by 73 publications

(24 citation statements)

References 32 publications

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“…8), indicating that Zn may have originated from sources that are different from those of other elements in this area. Similar results were reported by Liu et al [49], who found a significant correlation amongst Cd, Pb, Cr, Cu, Zn and As in water from Jinjiang River in Chengdu, China. The PCA results are presented in Fig.…”

Section: Source Distribution Of As and Heavy Metals In Overlying Watersupporting

confidence: 91%

“…ANOVA showed a significant difference in concentration amongst the 21 sampling sites (P < 0.01), except for Cd and Zn (P > 0.05, Table 4). Previous studies have confirmed that significant spatial changes in element concentrations occur in lakes and rivers [9,10,49]. Yu et al [9] reported that compared with lake water, river water has higher concentrations of Zn, Sb, Cu, Ni and Cr, which present a clear gradient from the river to Taihu Lake.…”

Section: Spatial Distributions Of Heavy Metals In Overlying Watermentioning

confidence: 80%

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Survey and assessment of metals distribution in the overlying water of the representative lake and rivers in Zhenjiang, China

et al. 2020

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Section: Source Distribution Of As and Heavy Metals In Overlying Watersupporting

confidence: 91%

Section: Spatial Distributions Of Heavy Metals In Overlying Watermentioning

confidence: 80%

Survey and assessment of metals distribution in the overlying water of the representative lake and rivers in Zhenjiang, China

et al. 2020

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“…Due to the potential risk of metal contaminated sediment to the overlying water column through chemical and biological exchange mechanisms, it is important to acquire information on sediment quality and its associated ecological risk status. Several risk assessment indices based on total metal concentration have been developed for evaluation of ecological risk, for example, the geoaccumulation index (Dai et al, 2018) and potential ecological risk index (Liu et al, 2018). Due to the importance of metal bioaccessibility (Li et al, 2018a, b, c), a metal-fractions based index was established to better understand the ecological risk related to specific metal associations (i.e., fractions).…”

Section: Introductionmentioning

confidence: 99%

A comprehensive risk assessment of metals in riverine surface sediments across the rural-urban interface of a rapidly developing watershed

Wang

Zhou

Zhang

et al. 2019

Environmental Pollution

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Metal contamination in aquatic environments is a severe global concern to human health and aquatic ecosystems. This study used several risk assessment indices, to evaluate metal (Cu, Zn, Pb, Cd and Cr) environmental risk of riverine surface sediments across the rural-urban interface of the rapidly developing Wen-Rui Tang River watershed in eastern China. Risk assessments were determined for 38 sites based on the potential ecological risk index (RI), consensus-based sediment quality guidelines (SQGs) and risk assessment code (RAC). Land-use cluster analysis showed that sediments were severely contaminated, especially for Cd, whose concentrations were~100 times higher than background levels and had a high proportion in the bioaccessible fraction. According to RI, E Cd r was identified with extremely high risk potential, resulting in the highest ecological risk of Cluster 4 (industrial). Similarly, risk within Cluster 4 (industrial) was also ranked highest by SQGs assessment due to the high proportion of industrial land use. Zinc was determined with high risk due to its high concentration compared to its effect range medium (ERM) value. Discrepancies in predicting environmental risks from metals among the three indices were mainly attributed to the contrasting definitions of these metrics. Environmental risk uncertainty derived from spatial variation was further estimated by Monte Carlo simulation and ranked as: Zn > Cd > Cr > Pb > Cu. This comprehensive environmental risk assessment provides important information to guide remediation strategies for management of metal contamination at the watershed scale.

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“…Most samples of shallow aquifers (1-6 m) at sampling sites of S1-S6 show high concentrations of total Cr, which were much higher than the Environmental Quality Standard for Soils (250 mg/ kg) (GB 15618-2018) [22]. e maximum total Cr level (9756.7 mg/kg) appears at the depth of 1 m at sampling site S2, which was 160 times higher than the background value of Chinese soils (61 mg/kg) [23]. e concentrations of total Cr decrease with increasing depth at most of the sampling sites.…”

Section: High Concentration Of Cr(vi) In Top Soils Shallowmentioning

confidence: 86%

Adsorption Characteristics and Transport Behavior of Cr(VI) in Shallow Aquifers Surrounding a Chromium Ore Processing Residue (COPR) Dumpsite

Liu

Li²,

Hu³

et al. 2019

Journal of Chemistry

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This study explored the stratigraphic distribution and soil/shallow aquifer characteristics surrounding a chromium ore processing residue (COPR) dumpsite at a former chemical factory in China. Total Cr levels in top soils (5–10 cm) nearby the COPR dumpsite were in the range of 8571.4–10711.4 mg/kg. Shallow aquifers (1–6 m) nearby the COPR dumpsite showed a maximum total Cr level of 9756.7 mg/kg. The concentrations of Cr(VI) in groundwater nearby the COPR dumpsite were 766.9–1347.5 mg/L. These results display that the top soils, shallow aquifers, and groundwater of the study site are severely polluted by Cr(VI). Then, three aquifers (silt, clay, and silty clay), respectively, collected from the depth of 1.4–2.4 m, 2.4–4.8 m, and 4.8–11.00 m were first used to evaluate the adsorption characteristics and transport behavior of Cr(VI) in shallow aquifers by both batch and column experiments. The adsorption of Cr(VI) on tested aquifers was well described by pseudo-second-order equation and Freundlich model. The adsorption capacities of Cr(VI) on three aquifers followed the order: clay > silty clay > silt. The kinetics proved that Cr(VI) is not easily adsorbed by the aquifer mediums but transports with groundwater. Thermodynamics indicated that Cr(VI) adsorption on tested aquifers was feasible, spontaneous, and endothermic. Cr(VI) adsorption on tested aquifers decreased with increasing pH. Furthermore, the transport of Cr(VI) in adsorption columns followed the sequence of clay < silty clay < silt. Desorption column experiments infer that the Cr(VI) adsorbed on aquifers will desorb and release into groundwater in the case of rainwater leaching. Therefore, a proper treatment of the COPR and a comprehensive management of soils are vital to prevent groundwater pollution.

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Distribution and risk assessment of metals in water, sediments, and wild fish from Jinjiang River in Chengdu, China

Cited by 73 publications

References 32 publications

Survey and assessment of metals distribution in the overlying water of the representative lake and rivers in Zhenjiang, China

Survey and assessment of metals distribution in the overlying water of the representative lake and rivers in Zhenjiang, China

A comprehensive risk assessment of metals in riverine surface sediments across the rural-urban interface of a rapidly developing watershed

Adsorption Characteristics and Transport Behavior of Cr(VI) in Shallow Aquifers Surrounding a Chromium Ore Processing Residue (COPR) Dumpsite

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