Multivariate analysis of sediment quality in River Ogbere, Ibadan, South-West Nigeria
| Autor: | A.O. Coker, Mynepalli K. C. Sridhar, A. M. Omoniyi, C.G. Achi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Hydrology
TC401-506 0303 health sciences Multivariate analysis Water supply for domestic and industrial purposes media_common.quotation_subject Sediment 010501 environmental sciences Management Monitoring Policy and Law Environmental Science (miscellaneous) 01 natural sciences department of petroleum resources (dpr) and principal component analysis (pca) sediment quality River lake and water-supply engineering (General) 03 medical and health sciences Environmental science Quality (business) heavy metals TD201-500 030304 developmental biology 0105 earth and related environmental sciences Water Science and Technology media_common |
| Zdroj: | H2Open Journal, Vol 4, Iss 1, Pp 1-11 (2021) |
| ISSN: | 2616-6518 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|