Heavy metals in river surface sediments affected with multiple pollution sources, South China: Distribution, enrichment and source apportionment

Liao, Jianbo; Chen, Jian; Ru, Xuan; Chen, Jundong; Wu, Haixia; Wei, Chaohai

doi:10.1016/j.gexplo.2016.08.013

Cited by 126 publications

(48 citation statements)

References 65 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Metals in rivers are derived from both natural and anthropogenic sources and can be transported far from their sources due to their close association with suspended sediments (Viers et al 2009). Fluvial metal loads of anthropogenic origin often outweigh the load from the geochemical background in rivers flowing through industrial, urban, and in particular mining-impacted areas (Liao et al 2017;Zhang et al 2017). During flood events, the metal load accumulated in fluvial bed sediments and associated riparian zones can be entrained, transported, and deposited downstream on the active floodplain (Foulds et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Assessing the impacts of the main river and anthropogenic use on the degree of metal contamination of oxbow lake sediments (Tisza River Valley, Hungary)

et al. 2019

View full text Add to dashboard Cite

Purpose Oxbow lakes, reaches that were cut off from a river during river straightening works, can accumulate during flooding metal-rich suspended sediments transported by a river from mining-impacted source areas and other anthropogenic sources. Additionally, the anthropogenic use of oxbow lakes may significantly impact the sediment-bound metal concentrations. The aim was to determine the dominating effect in the sediments' enrichment in heavy metals. Materials and methods We collected surface sediments (< 10-cm depth) from seven oxbow lakes once connected to the Tisza River (a transboundary river in Central and Eastern Europe). Four of the oxbows were located on the active floodplain, while three oxbows were at the reclaimed side (i.e., outside the flood defense levee). The sediment samples were subjected to total metal analyses (Cd, Co, Cr, Cu, Ni, Pb, and Zn) and sequential chemical extractions. Results and discussion Contamination indices (geoaccumulation index (Igeo) and pollution load index (PLI)) show a moderate but significant metal pollution of oxbow lakes situated on the active floodplain (I geo (Pb) 0.95-1.25, PLI 2.1-2.8) and an overall unpolluted to slightly polluted status of those at the reclaimed side (I geo (Pb) − 0.36-0.51, PLI 1.3-1.7). Additionally, the geochemical fractionation of the target metals showed that Cd and Zn were the most labile (Cd 29-48%, Zn 18-37% of nonresidual proportions), indicating their environmental significance. Conclusions Canonical discriminant analysis of the sediment-bound metal concentrations revealed the prevalent role of the river connection over the anthropogenic use in controlling the metal enrichment of oxbow sediments.

show abstract

Section: Introductionmentioning

confidence: 99%

Assessing the impacts of the main river and anthropogenic use on the degree of metal contamination of oxbow lake sediments (Tisza River Valley, Hungary)

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Therefore, the potential ecological risk index (RI) developed by Hakanson [27] was used to assess the degree of heavy metal pollution in sediments, according to the toxicity of heavy metals and the response of the environment. It provides a quantitative value for the combined contamination risk to a particular ecological system [27,60]. The sum of all risk factors per sampling site is then calculated in three steps; first the contamination factor (C f ) of each metal element is determined which enables the calculation of potential ecological risk factor at each sampling site, and finally the sum of risk factors of each element at a point was estimated where C f is the contamination factor, C D is the concentration of heavy metals in sediments, and C B is the background value for the metal (mg/kg).…”

Section: Potential Ecological Risk Index (Ri) and Pollution Load Indementioning

confidence: 99%

Heavy metals in surface sediments of Lake Naivasha, Kenya: spatial distribution, source identification and ecological risk assessment

et al. 2020

View full text Add to dashboard Cite

Heavy metals retained in sediments pose a threat to aquatic ecosystem and society. Knowledge of the status and sustainability of lake sediment in areas undergoing rapid economic development is scarce, and yet it is required in order to achieve the United Nations Sustainable Development goals. We investigated heavy metal concentration in Lake Naivasha sediments using enrichment factor, geoaccumulation index, pollution load index (PLI), risk index (RI) and multivariate statistics to determine metal accumulation, distribution and the lake's pollution status. Sediments sampling followed a grid approach, and seven heavy metals: Co, Cr, Cu, Mn, Pb, Zn and Fe, were analyzed in total; concentrations were determined using portable X-ray fluorescence. The distribution maps were interpolated in a GIS platform, and the toxicity risk of sediments was determined. The concentrations of elements in the sediments are in the following decreasing order: Fe > Mn > Zn > Cu > Cr > Co > Pb. High concentration of heavy metals is found in the southern shoreline and east of the lake due to shoreline discharge and agricultural effluents drained into the lake and shoreline transgression. Pb and Zn are of anthropogenic origin, while Cu and Mn originate from both natural and anthropogenic sources and Fe and Co are from natural sources. In addition, the mean toxicity decreases in the order: Cu > Fe > Co > Pb > Zn > Mn > Cr. The PLI values were above one (> 1), indicating progressive deterioration of the sediment quality. Though the overall ecological risk of the lake is low to moderate (RI 36.73-60.51), hotspots of pollution should be marked for intervention. This assessment also helps to fill the knowledge gap required to formulate the right policies in implementing sustainable development goals in similar lakes.

show abstract

“…To estimate the spatial distribution of pollutants in river sediments, the geo-accumulation index (I geo ) can be used. Thus, the assessment of pollution of the Maba River (South China) was done and the negative impact of waste water discharge and tailing dumps of the metallurgical enterprise was investigated [9].…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Assessment of the pollution degree of the dnepr river and development of measures for its decrease

Kasimov

Stalinska

Sorokina

2017

EEJET

View full text Add to dashboard Cite

Heavy metals in river surface sediments affected with multiple pollution sources, South China: Distribution, enrichment and source apportionment

Cited by 126 publications

References 65 publications

Assessing the impacts of the main river and anthropogenic use on the degree of metal contamination of oxbow lake sediments (Tisza River Valley, Hungary)

Assessing the impacts of the main river and anthropogenic use on the degree of metal contamination of oxbow lake sediments (Tisza River Valley, Hungary)

Heavy metals in surface sediments of Lake Naivasha, Kenya: spatial distribution, source identification and ecological risk assessment

Assessment of the pollution degree of the dnepr river and development of measures for its decrease

Contact Info

Product

Resources

About