Multivariate analysis of sediment quality in River Ogbere, Ibadan, South-West Nigeria

Heavy metals are pollutants of river sediments, and their concentration varies depending on parental material and anthropogenic inputs, thus it is important to distinguish between the natural and anthropogenic inputs. The objective of this study is to use different types of indexes to assess the cur...

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Autores principales:	C. G. Achi, A. M. Omoniyi, A. O. Coker, M. K. C. Sridhar
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	department of petroleum resources (dpr) and principal component analysis (pca) heavy metals sediment quality River, lake, and water-supply engineering (General) TC401-506 Water supply for domestic and industrial purposes TD201-500
Acceso en línea:	https://doaj.org/article/8c0a5c460e4c4506b5e094c2a9d7d3bd
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spelling	oai:doaj.org-article:8c0a5c460e4c4506b5e094c2a9d7d3bd2021-11-08T07:59:13ZMultivariate analysis of sediment quality in River Ogbere, Ibadan, South-West Nigeria2616-651810.2166/h2oj.2021.057https://doaj.org/article/8c0a5c460e4c4506b5e094c2a9d7d3bd2021-01-01T00:00:00Zhttp://doi.org/10.2166/h2oj.2021.057https://doaj.org/toc/2616-6518Heavy metals are pollutants of river sediments, and their concentration varies depending on parental material and anthropogenic inputs, thus it is important to distinguish between the natural and anthropogenic inputs. The objective of this study is to use different types of indexes to assess the current pollution status in Ogbere River sediment and select the best index to describe the sediment quality. The indexes used in this study were enrichment factor (EF), geoaccumulation index (Igeo) and principal component analysis (PCA). The PCA has an advantage over other index analyses as it reduces the dimensionality of the data set and thus used to support multivariate cluster analysis. From the study, a total of 12 sediment samples were collected in both seasons across six sampling location and pollution indexes indicated three things: firstly, the metal distribution profile in the sediment showed that the heavy metals analysed were lower than the maximum allowable limits stipulated by Department of Petroleum Resources (DPR); secondly, minor to extremely severe significant levels of enrichment and thirdly, practically uncontaminated to a moderately contaminated degree of contamination in Ogbere River during the study period. The PCA is considered more sensitive in the analysis of benthic changes as well as sediment quality. However, the heavy metal assessment indices are not only used for sediment quality. Biological testing and ecological analysis of existing community related to sediment contamination are further recommended in River Ogbere. Highlights This study gives an assessment of the current pollution status in Ogbere River sediment in south-western Nigeria.; This study compares the sensitivity of three different indexes as tools for conducting the river assessment.; This study provides baseline data for the pollution level of Ogbere River in dry and wet seasons.; The study will inform policies that will mitigate the anthropogenic contributions to river pollution.;C. G. AchiA. M. OmoniyiA. O. CokerM. K. C. SridharIWA Publishingarticledepartment of petroleum resources (dpr) and principal component analysis (pca)heavy metalssediment qualityRiver, lake, and water-supply engineering (General)TC401-506Water supply for domestic and industrial purposesTD201-500ENH2Open Journal, Vol 4, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	department of petroleum resources (dpr) and principal component analysis (pca) heavy metals sediment quality River, lake, and water-supply engineering (General) TC401-506 Water supply for domestic and industrial purposes TD201-500
spellingShingle	department of petroleum resources (dpr) and principal component analysis (pca) heavy metals sediment quality River, lake, and water-supply engineering (General) TC401-506 Water supply for domestic and industrial purposes TD201-500 C. G. Achi A. M. Omoniyi A. O. Coker M. K. C. Sridhar Multivariate analysis of sediment quality in River Ogbere, Ibadan, South-West Nigeria
description	Heavy metals are pollutants of river sediments, and their concentration varies depending on parental material and anthropogenic inputs, thus it is important to distinguish between the natural and anthropogenic inputs. The objective of this study is to use different types of indexes to assess the current pollution status in Ogbere River sediment and select the best index to describe the sediment quality. The indexes used in this study were enrichment factor (EF), geoaccumulation index (Igeo) and principal component analysis (PCA). The PCA has an advantage over other index analyses as it reduces the dimensionality of the data set and thus used to support multivariate cluster analysis. From the study, a total of 12 sediment samples were collected in both seasons across six sampling location and pollution indexes indicated three things: firstly, the metal distribution profile in the sediment showed that the heavy metals analysed were lower than the maximum allowable limits stipulated by Department of Petroleum Resources (DPR); secondly, minor to extremely severe significant levels of enrichment and thirdly, practically uncontaminated to a moderately contaminated degree of contamination in Ogbere River during the study period. The PCA is considered more sensitive in the analysis of benthic changes as well as sediment quality. However, the heavy metal assessment indices are not only used for sediment quality. Biological testing and ecological analysis of existing community related to sediment contamination are further recommended in River Ogbere. Highlights This study gives an assessment of the current pollution status in Ogbere River sediment in south-western Nigeria.; This study compares the sensitivity of three different indexes as tools for conducting the river assessment.; This study provides baseline data for the pollution level of Ogbere River in dry and wet seasons.; The study will inform policies that will mitigate the anthropogenic contributions to river pollution.;
format	article
author	C. G. Achi A. M. Omoniyi A. O. Coker M. K. C. Sridhar
author_facet	C. G. Achi A. M. Omoniyi A. O. Coker M. K. C. Sridhar
author_sort	C. G. Achi
title	Multivariate analysis of sediment quality in River Ogbere, Ibadan, South-West Nigeria
title_short	Multivariate analysis of sediment quality in River Ogbere, Ibadan, South-West Nigeria
title_full	Multivariate analysis of sediment quality in River Ogbere, Ibadan, South-West Nigeria
title_fullStr	Multivariate analysis of sediment quality in River Ogbere, Ibadan, South-West Nigeria
title_full_unstemmed	Multivariate analysis of sediment quality in River Ogbere, Ibadan, South-West Nigeria
title_sort	multivariate analysis of sediment quality in river ogbere, ibadan, south-west nigeria
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/8c0a5c460e4c4506b5e094c2a9d7d3bd
work_keys_str_mv	AT cgachi multivariateanalysisofsedimentqualityinriverogbereibadansouthwestnigeria AT amomoniyi multivariateanalysisofsedimentqualityinriverogbereibadansouthwestnigeria AT aocoker multivariateanalysisofsedimentqualityinriverogbereibadansouthwestnigeria AT mkcsridhar multivariateanalysisofsedimentqualityinriverogbereibadansouthwestnigeria
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Multivariate analysis of sediment quality in River Ogbere, Ibadan, South-West Nigeria

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