Spatial Attenuation of Mining/Smelting-Derived Metal Pollution in Sediments From Tributaries of the Upper Han River, China

Wei, Lezhang; Cai, Minyao; Du, Yongming; Tang, Jinfeng; Wu, Qihang; Xiao, Tangfu; Luo, Dinggui; Huang, Xiao; Liu, Yu; Fei, Ying-heng; Chen, Yongheng

doi:10.1007/s10230-018-00583-0

Cited by 4 publications

(3 citation statements)

References 34 publications

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“…The RI method was developed by Håkanson (1980) for assessing the potential ecological risks in sediment in freshwater ecosystems in Sweden. This was determined from the quantity of 7 elements (As, Cd, Cr, Cu, Hg, Pb and Zn) and one persistent organic pollutant (PCB), and continues to be used for ecological risk assessments of heavy metals in sediments (Manoj and Padhy 2014;Duodu et al 2016;Jiao et al 2017;Wang et al 2018;Wei et al 2019;Li et al 2020). The RI method considers the hazard of metals to humans and ecosystems from two aspects-the abundance principle and the release effect-where the potential toxicity of a metal is inversely proportional to its abundance.…”

Section: Ecological Risk Assessment Using the Potential Ecological Risk Index (Ri)mentioning

confidence: 99%

Ecological risk assessment of trace elements accumulated in stormwater ponds within industrial areas

Waara

Johansson

2021

Environ Sci Pollut Res

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Stormwater ponds can provide flood protection and efficiently treat stormwater using sedimentation. As the ponds also host aquatic biota and attract wildlife, there is a growing concern that the sediment bound pollutants negatively affect aquatic organisms and the surrounding ecosystem. In this study, we used three methods to assess the accumulation and the potential ecological risk of 13 different heavy metals and metalloids (e.g. trace elements) including both elements that are frequently monitored and some which are rarely monitored in sediment from 5 stormwater ponds located within catchments with predominately industrial activities. Ecological risk for organisms in the older ponds was observed for both commonly (e.g. Cd, Cu, Zn) and seldom (e.g. Ag, Sb) monitored trace elements. The 3 methods ranked the degree of contamination similarly. We show that methods usually used for sediment quality assessment in aquatic ecosystems can also be used for screening the potential risk of other trace elements in stormwater ponds and may consequently be useful in stormwater monitoring and management. Our study also highlights the importance of establishing background conditions when conducting ecological risk assessment of sediment in stormwater ponds.

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Section: Ecological Risk Assessment Using the Potential Ecological Risk Index (Ri)mentioning

confidence: 99%

Ecological risk assessment of trace elements accumulated in stormwater ponds within industrial areas

Waara

Johansson

2021

Environ Sci Pollut Res

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show abstract

“…The RI method was developed by Håkanson (1980) for assessing the potential ecological risks in sediment in freshwater ecosystems in Sweden. This was determined from the quantity of elements (As, Cd, Cr, Cu, Hg, Pb and Zn) and one persistent organic pollutant (PCB); and continues to be used for ecological risk assessments of heavy metals in sediments (Manoj and Padhy 2014;Duodu et al 2016;Jiao et al 2017;Wang et al 2018;Zhuang et al 2018;Wei et al 2019;Li et al 2020). The RI method considers the hazard of metals to humans and ecosystems from two aspects -the abundance principle and the release effect -where the potential toxicity of a metal is inversely proportional to its abundance.…”

Section: Ecological Risk Assessment Using the Potential Ecological Risk Index (Ri)mentioning

confidence: 99%

Ecological Risk Assessment of Trace Elements Accumulated in Stormwater Ponds within Industrial Areas

Waara¹,

Johansson²

2021

Preprint

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Stormwater ponds can provide flood protection and efficiently treat stormwater using sedimentation. As the ponds also host aquatic biota and attract wildlife there is a growing concern that the sediment bound pollutants negatively affect aquatic organisms and the surrounding ecosystem. In this study we used three methods to assess the accumulation and the potential ecological risk of 13 different heavy metals and metalloids (e.g. trace elements) including both elements that are frequently monitored and some which are rarely monitored in sediment from 5 stormwater ponds located within catchments with predominately industrial activities. Ecological risk for organisms in the older ponds was observed for both commonly- (e.g. Cd, Cu, Zn) and seldom- (e.g. Ag, Sb) monitored trace elements. The 3 methods ranked the degree of contamination similarly. We show that methods usually used for sediment quality assessment in aquatic ecosystems can also be used for screening the potential risk of other trace elements in stormwater ponds and may consequently be useful in stormwater monitoring and management. Our study also highlights the importance of establishing background conditions when conducting ecological risk assessment of sediment in stormwater ponds.

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“…The degree of sediment contamination by heavy metals and As is usually estimated by pollution indices such as contamination factor (CF) and ecological potential risk ( E r ) (Sanchez et al, 2022; Wei et al, 2019; Zhuang et al, 2021). However, the assessment of contamination levels of the riverbed sediments in the Bor mining area has not been thoroughly studied.…”

Section: Introductionmentioning

confidence: 99%

Environmental risk assessment of the contamination of river water and sediments from the Bor mining area, East Serbia―Secondary Cu enrichment at the reservoir site

et al. 2023

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The study area is within the Bor copper mining region, Eastern Serbia, where wastewaters from the Bor metallurgical/smelting facilities have caused serious copper (Cu) and arsenic (As) contamination to the Timok river system. The operating conditions at smelting facilities control the pH of the river waters, resulting in highly acidic waters in 2019 than 2015. This study compares the mobility of Cu and As and risk assessment of river water contamination during both years as well as assessing the risks of riverbed sediments contamination and investigating the origins of Cu and As pollution. In the river system, As generally existed as a particulate species in the entire study area during both years and was widely removed from river waters by sorption onto the hydrous ferric oxides (HFO), whereas dissolved Cu was removed from river waters only at neutral pH conditions with hydrous aluminum oxides (HAO) and HFO at the downstream reservoir site of Timok River. Despite the similarity in Cu mobility during both years, the lower pH of river waters in 2019 than 2015 enabled dissolved Cu species to be transported farther downstream, resulting in a higher level of river water pollution. The contamination factor (CF), used to estimate levels of sediment pollution, had higher values for Cu and As compared to Zn, Pb, Co, and Ni. The CF values of Cu were the highest in sediments near the Bor metallurgical/smelting facilities and at downstream reservoir site, whereas the CF values of As were generally high in the entire research field. Additionally, the ecological risk potential (Er) values of Cu were the highest in sediments of the Bor River and Timok River, reflecting an enrichment of Cu at these sites. Finally, a clarification on the origin of Cu pollution and risks of mobilization was inferred from the sequential extraction test. The predominant Cu species in sediments of the upstream region were oxidizable and residual, hosted by copper sulfides originating from the flotation tailings, suggesting a relatively low risk of Cu release from these sediments. However, at the downstream site (especially reservoir sediments), the contribution of acid‐soluble Cu was 34.8%, suggesting a higher risk of Cu release. The highest contributions of acid‐soluble and reducible Cu (18%) at the reservoir site were promoted by the effective settlement of Cu‐sorbing HAO and HFO. The Cu contents of these two fractions were 0.86 wt%, almost three times higher than that of Cu ore in Veliki Krivelj open pit mine.

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Spatial Attenuation of Mining/Smelting-Derived Metal Pollution in Sediments From Tributaries of the Upper Han River, China

Cited by 4 publications

References 34 publications

Ecological risk assessment of trace elements accumulated in stormwater ponds within industrial areas

Ecological risk assessment of trace elements accumulated in stormwater ponds within industrial areas

Ecological Risk Assessment of Trace Elements Accumulated in Stormwater Ponds within Industrial Areas

Environmental risk assessment of the contamination of river water and sediments from the Bor mining area, East Serbia―Secondary Cu enrichment at the reservoir site

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