Monitoring and risk assessment of heavy metals surficial sediments using the 5-step sequential extraction process

2021 ◽  
pp. 1-22
Author(s):  
Ankit Pratim Goswami ◽  
Sanjib Das ◽  
Ajay S. Kalamdhad
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Sequential Extraction ◽  
Extraction Process ◽  
Surficial Sediments

scholarly journals Sequential extraction and risk assessment of pollutants from one major tributary of the Ganga

2021 ◽  
Author(s):  
Vinay Kumar ◽  
Pokhraj Sahu ◽  
Markandeya
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
High Risk ◽  
Sequential Extraction ◽  
Hierarchical Cluster ◽  
Residual Fraction ◽  
Toxic Heavy Metals ◽  
Risk Assessment Code ◽  
Bed Sediments ◽  
Gomti River

Abstract The geochemical fractionation of toxic heavy metals Cd, Pb, Cr, Co, Mn, Ni, Cu, Fe and Zn was investigated in 10 different sites of river bed sediments (up, mid and downstream) of Gomti River at Lucknow city. Sequential extraction technique was used to identify the distribution of trace elements binding in different fractions i.e., exchangeable, carbonate, Fe and Mn oxide, organic matter and residual. Heavy metal concentrations were least at upstream and significantly higher in mid and downstream. Fractionation indicated that dominant metals were bound in residual fraction to the bed sediments except for Cd and Pb which were bound in an equivalent fraction. Geo-accumulation index factor reveals that the enrichment of heavy metals in the bio-available fraction is contributed anthropogenically. Hierarchical cluster analysis also shows the metal pollution load in the river. Risk assessment code of Cd and Ni showed very high risk (ranged from 54.41 to 85.56 and 20.57 to 44.92 respectively) followed by Pb (high risk), Zn, Co (medium risk), Cr, Mn, Cu, Fe (low risk) in Gomti River water. Further, concentrations of Cd and Pb at mid Lucknow were 31 and 75%, high enough to pose a substantial risk to the environment.

Study of Heavy Metal Speciation in Surface Sediments of Lugu Lake, China

2013 ◽  
Vol 448-453 ◽  
pp. 293-298
Author(s):  
Zheng Gang Gu ◽  
Min Wu ◽  
Ping Ning
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Heavy Metal ◽  
Sequential Extraction ◽  
Surface Sediment ◽  
Extraction Methods ◽  
Metal Mobility ◽  
Risk Assessment Code ◽  
Bcr Sequential Extraction ◽  
Lugu Lake

The speciation of the heavy metals Cu, Cr, and Pb in surface sediment samples collected from Lugu Lake in China was analyzed by European Community Bureau of Reference (BCR) sequential extraction methods. Heavy metal bioavailability was assessed by risk assessment code. This study demonstrates that BCR sequential extraction methods and risk assessment code can be used as valuable tools to assess heavy metal mobility, bioavailability and eco-toxicity. The distribution of Cu, Cr, and Pb in the surface sediment of Lugu Lake showed that all three metals were mainly present in the reducible fraction. The bioavailability of the heavy metals in the surface sediment was in the order Cu > Cr > Pb.

scholarly journals Environmental Risk Assessment of Heavy Metals by Exploring Chemical Fractions, Leachability, Bioavailability in Road Dusts from Steel-Industrial City (Anshan), Northeastern China

2021 ◽  
Author(s):  
Yutong Zong ◽  
Qing Xiao ◽  
Zaffar Malik ◽  
Shenggao Lu
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Sequential Extraction ◽  
Environmental Risk ◽  
Environmental Risk Assessment ◽  
Northeastern China ◽  
Residual Fraction ◽  
Chemical Fractions ◽  
Industrial City ◽  
Road Dusts

Abstract This study evaluated chemical fractions, potential leachability, and bio-accessibility of heavy metals (Cr, Cu, Cd, Ni, Pb, and Zn) in road dusts from the steel-industrial city (Anshan), Northeastern China. Chemical fractions of heavy metals were determined using Tessier sequential extraction method. The environmental risk assessment was evaluated using short-term extraction tests: TCLP, PBET, and CaCl2. Sequential extraction analysis reveals that Cr and Ni primarily existed in residual form. The non-residual fraction of heavy metals decreased in the order of Zn (average 57.78%)> Cu (39.16%)> Pb (30.73%)≈ Cd (30.67%)> Ni (19.06 %)> Cr (8.7%%). The results showed that Cd, Cu, Zn and Pb, which were extremely concentrated in potentially mobile fractions, had highly potential environmental risks. The mobility of Cd and Zn was usually higher than those of Cr, Cu, Pb and Ni, which means that Cd and Zn have higher hazardous to ecosystem. The order of bioavailability identified by PBET method was generally Zn>Cd>Pb>Ni>Cu>Cr. There was a significantly relationship between PBET, TCLP-test and bioavailable parts (F1+F2+F3+F4, SUM4) of sequential extraction, respectively. Multiple linear regression analysis indicated that toxicity and bioavailability of heavy metals were not only depended on RDs properties, but also lied on the total heavy metals.

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