Preliminary assessment of heavy metals in surface water and sediment in Nakuvadra-Rakiraki River, Fiji using indexical and chemometric approaches.


Journal

Journal of environmental management
ISSN: 1095-8630
Titre abrégé: J Environ Manage
Pays: England
ID NLM: 0401664

Informations de publication

Date de publication:
15 Nov 2021
Historique:
received: 24 03 2021
revised: 02 08 2021
accepted: 07 08 2021
pubmed: 14 8 2021
medline: 22 9 2021
entrez: 13 8 2021
Statut: ppublish

Résumé

River water and sediment embody environmental characteristics that give valuable environmental management information. However, indexical and chemometric appraisal of heavy metals (HMs) in river water and sediment is very scarce in Island countries including Fiji. In this research, forty-five sediment and fifteen water samples from the Nakuvadra-Rakiraki River, Fiji were analyzed for appraising spatial distribution, pollution, and source identification of selected heavy metals (HMs) using the coupling tools of self-organizing map (SOM), compositional data analysis (CDA), and sediment and water quality indices. The mean concentration of HMs increased in the order of Cd < Co < Pb < Cu < Zn < Ni < Cr < Mn < Fe for sediment and Cd < Pb < Cu < Ni < Zn < Co < Cr < Fe < Mn for water, respectively. The outcomes of the enrichment factor, geo-accumulation index and contamination factor index varied spatially and most of the sediment samples were polluted by Pb, Mn, and Cu. The potential ecological risk recognized Cd, and Pb as ecological and public health risks to the surrounding communities. Based on SOM and CDA, three potential sources (e.g., point, nonpoint and lithological sources) of HMs for sediment and two sources (e.g., geogenic and human-induced sources) of HMs for water were identified. The spatial patterns of EWQI values revealed that the northern and northeast zones of the studied area possess a high degree of water pollution. The entropy weight indicated Ni and Cd as the main pollutants degrading the water quality. This study gives a baseline dataset for combined eco-environmental measures for the river's water and sediment pollution as well as contributes to an inclusive appraisal of HMs contamination in global rivers.

Identifiants

pubmed: 34388550
pii: S0301-4797(21)01579-6
doi: 10.1016/j.jenvman.2021.113517
pii:
doi:

Substances chimiques

Metals, Heavy 0
Water Pollutants, Chemical 0
Water 059QF0KO0R

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

113517

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Satendra Kumar (S)

School of Geography, Earth Science and Environment, The University of the South Pacific, Laucala Campus, Private Bag, Suva, Fiji.

Abu Reza Md Towfiqul Islam (ARMT)

Department of Disaster Management, Begum Rokeya University, Rangpur, 5400, Bangladesh. Electronic address: towfiq_dm@brur.ac.bd.

Md Hasanuzzaman (M)

Department of Disaster Management, Begum Rokeya University, Rangpur, 5400, Bangladesh.

Roquia Salam (R)

Department of Disaster Management, Begum Rokeya University, Rangpur, 5400, Bangladesh.

Rahat Khan (R)

Institute of Nuclear Science and Technology, Bangladesh Atomic Energy Commission, Savar, Dhaka, 1349, Bangladesh.

Md Saiful Islam (MS)

Department of Soil Science, Patuakhali Science and Technology University, Dumki, Patuakhali, 8602, Bangladesh.

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Classifications MeSH