Cargando…

Assessment of Ecological Risk of Heavy Metals Using Probabilistic Risk Assessment Model (AQUARISK) in Surface Sediments from Wami Estuary, Tanzania

Total concentrations of As, Cd, Cr, Cu, Pb, and Zn in sediment samples obtained from Wami Estuary in Tanzania were used to generate contaminant probability density distributions and species sensitivity distributions using the AQUARISK model. Results of tier 1 assessment showed that As, Cd, Cr, Pb, a...

Descripción completa

Detalles Bibliográficos
Autores principales: Sawe, Shovi Furaeli, Shilla, Daniel Abel, Machiwa, John Ferdinand
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8289568/
https://www.ncbi.nlm.nih.gov/pubmed/34337039
http://dx.doi.org/10.1155/2021/6635903
_version_ 1783724314627932160
author Sawe, Shovi Furaeli
Shilla, Daniel Abel
Machiwa, John Ferdinand
author_facet Sawe, Shovi Furaeli
Shilla, Daniel Abel
Machiwa, John Ferdinand
author_sort Sawe, Shovi Furaeli
collection PubMed
description Total concentrations of As, Cd, Cr, Cu, Pb, and Zn in sediment samples obtained from Wami Estuary in Tanzania were used to generate contaminant probability density distributions and species sensitivity distributions using the AQUARISK model. Results of tier 1 assessment showed that As, Cd, Cr, Pb, and Zn were not of concern as their measured values and the 99(th) percentile of the fitted distributions were lower than the SQG low-trigger values. However, Cu was identified as of concern in this estuary. According to the Bur III distributional analysis of the exotoxicological data, the estimated percentage of species likely to be affected is 3.4, 79.4, 79.8, 99.9, 98.4, and 98.0 for As, Cd, Cr, Cu, Pb, and Zn, respectively. Lowering of the current median concentrations of metals (Cd, Cr, Cu, Pb, and Zn) is recommended as they exceeded modeled median target sediment concentration to achieve 95% or higher for species protection. With the ongoing increase in anthropogenic activities in the Wami River catchment, the environmental regulatory bodies may use the findings of the present study and augmented with AQUARISK to set discharge standards for various contaminants in order to minimize impacts to the receiving ecosystems.
format Online
Article
Text
id pubmed-8289568
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-82895682021-07-31 Assessment of Ecological Risk of Heavy Metals Using Probabilistic Risk Assessment Model (AQUARISK) in Surface Sediments from Wami Estuary, Tanzania Sawe, Shovi Furaeli Shilla, Daniel Abel Machiwa, John Ferdinand Biomed Res Int Research Article Total concentrations of As, Cd, Cr, Cu, Pb, and Zn in sediment samples obtained from Wami Estuary in Tanzania were used to generate contaminant probability density distributions and species sensitivity distributions using the AQUARISK model. Results of tier 1 assessment showed that As, Cd, Cr, Pb, and Zn were not of concern as their measured values and the 99(th) percentile of the fitted distributions were lower than the SQG low-trigger values. However, Cu was identified as of concern in this estuary. According to the Bur III distributional analysis of the exotoxicological data, the estimated percentage of species likely to be affected is 3.4, 79.4, 79.8, 99.9, 98.4, and 98.0 for As, Cd, Cr, Cu, Pb, and Zn, respectively. Lowering of the current median concentrations of metals (Cd, Cr, Cu, Pb, and Zn) is recommended as they exceeded modeled median target sediment concentration to achieve 95% or higher for species protection. With the ongoing increase in anthropogenic activities in the Wami River catchment, the environmental regulatory bodies may use the findings of the present study and augmented with AQUARISK to set discharge standards for various contaminants in order to minimize impacts to the receiving ecosystems. Hindawi 2021-07-09 /pmc/articles/PMC8289568/ /pubmed/34337039 http://dx.doi.org/10.1155/2021/6635903 Text en Copyright © 2021 Shovi Furaeli Sawe et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Sawe, Shovi Furaeli
Shilla, Daniel Abel
Machiwa, John Ferdinand
Assessment of Ecological Risk of Heavy Metals Using Probabilistic Risk Assessment Model (AQUARISK) in Surface Sediments from Wami Estuary, Tanzania
title Assessment of Ecological Risk of Heavy Metals Using Probabilistic Risk Assessment Model (AQUARISK) in Surface Sediments from Wami Estuary, Tanzania
title_full Assessment of Ecological Risk of Heavy Metals Using Probabilistic Risk Assessment Model (AQUARISK) in Surface Sediments from Wami Estuary, Tanzania
title_fullStr Assessment of Ecological Risk of Heavy Metals Using Probabilistic Risk Assessment Model (AQUARISK) in Surface Sediments from Wami Estuary, Tanzania
title_full_unstemmed Assessment of Ecological Risk of Heavy Metals Using Probabilistic Risk Assessment Model (AQUARISK) in Surface Sediments from Wami Estuary, Tanzania
title_short Assessment of Ecological Risk of Heavy Metals Using Probabilistic Risk Assessment Model (AQUARISK) in Surface Sediments from Wami Estuary, Tanzania
title_sort assessment of ecological risk of heavy metals using probabilistic risk assessment model (aquarisk) in surface sediments from wami estuary, tanzania
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8289568/
https://www.ncbi.nlm.nih.gov/pubmed/34337039
http://dx.doi.org/10.1155/2021/6635903
work_keys_str_mv AT saweshovifuraeli assessmentofecologicalriskofheavymetalsusingprobabilisticriskassessmentmodelaquariskinsurfacesedimentsfromwamiestuarytanzania
AT shilladanielabel assessmentofecologicalriskofheavymetalsusingprobabilisticriskassessmentmodelaquariskinsurfacesedimentsfromwamiestuarytanzania
AT machiwajohnferdinand assessmentofecologicalriskofheavymetalsusingprobabilisticriskassessmentmodelaquariskinsurfacesedimentsfromwamiestuarytanzania