Literature DB >> 31168663

Heavy metal accumulation in surface sediments of the Ganga River (India): speciation, fractionation, toxicity, and risk assessment.

Jitendra Pandey1.   

Abstract

We investigated the distribution of different fractions of eight heavy metals (Zn, Cr, Cu, Pb, Cd, Ni, Fe, and Mn) in the bed sediment of the Ganga River. The study was conducted during summer low flow (March to June 2017) considering a 285-km middle stretch of the Ganga River between the Allahabad upstream and the Varanasi downstream. To assess the metal levels from a toxicological perspective, we tested the relationships between metals and sediment microbial/extracellular enzyme activities. Most of the metals showed a large fraction in residual form. However, Zn, Pb, and Cd showed about 20-30% share in the exchangeable form. The total metal concentration poorly reflected the toxicity but the exchangeable fractions did show strong negative correlations (r = - 0.83 to - 0.63; p < 0.01) with microbial/enzyme activities. Also, the nutrients and organic carbon showed strong positive correlations (r = 0.62 to 0.89; p < 0.001) with microbial/enzyme activity. The phosphate showed a strong negative correlation (r = -0.82; p < 0.001) with alkaline phosphatase. The principal component analysis (PCA) and the indices such as contamination factor (CF), enrichment factor (EF), pollution load index (PLI), geoaccumulation index (Igeo), and risk assessment code (RAC) revealed moderate to severe contamination with strong anthropogenic influence. As per the United States Environmental Protection Agency, the metal concentrations at many locations were in the highly toxic range. The study has relevance from a toxicological perspective and for the management of the Ganga River.

Entities:  

Keywords:  Extracellular enzymes; Ganga River; Heavy metal; Pollution risk assessment; Riverbed sediment

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Year:  2019        PMID: 31168663     DOI: 10.1007/s10661-019-7552-7

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  2 in total

1.  Fractionation analysis and health risk assessment of heavy metals in six traditional Chinese medicines.

Authors:  Guanjun Nan; Xianxin Meng; Ning Song; Zhengzheng Liu; Yu Liu; Guangde Yang
Journal:  Environ Sci Pollut Res Int       Date:  2020-01-14       Impact factor: 4.223

2.  Microbial diversity in intensively farmed lake sediment contaminated by heavy metals and identification of microbial taxa bioindicators of environmental quality.

Authors:  María Custodio; Ciro Espinoza; Richard Peñaloza; Tessy Peralta-Ortiz; Héctor Sánchez-Suárez; Alberto Ordinola-Zapata; Enedia Vieyra-Peña
Journal:  Sci Rep       Date:  2022-01-07       Impact factor: 4.379

  2 in total

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