Fuzzy Logic Modeling of Contamination Degree of Ni and V Metal Species in Sediments from the Crude Oil Prospecting Area of the Ondo Coast, Nigeria

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dc.contributor.authorOlu-owolabi, B.I.
dc.contributor.authorAgunbiade, F.O.
dc.contributor.authorOsegbe, E.O.
dc.contributor.authorAdebowale, K.O.
dc.date.accessioned2019-09-05T08:12:54Z
dc.date.available2019-09-05T08:12:54Z
dc.date.issued2012
dc.description.abstractThere are numerous statistical models for evaluating the degree of pollution in an environment. This study presents a fuzzy logic–based model—simple fuzzy classification (SFC)—for evaluating contamination of Ni and V species in the sediments of Nigeria’s Ondo coastal area. Concentrations of five species of these metals were obtained from 10 sampling sites following sequential extractions from sediments. The results were formulated into a fuzzy membership function matrix based on three classifications relative to regulatory standards and sediments’ degree of contamination. The results of the SFC show that the estuary is moderately enriched by Ni species in a range of 61–84% and further introduction of Ni may shift its contamination level into the highly polluted category. The SFC results also show that the estuary is clean of V species contamination in a range of 77–99%. The Ni and V were associated with the organic specie notably at the crude oil exploration site and at the coastal discharge point. Crude oil exploration and domestic wastes discharges are notable sources of metal contaminations into the estuary. However, the salinity incursion from the coastal ocean and prevailing biogeochemistry affect the species in which the metals exist.en_US
dc.identifier.citationOlu-Owolabi, B. I., Agunbiade, F. O., Oseghe, E. O., & Adebowale, K. O. (2012). Fuzzy logic modeling of contamination degree of Ni and V metal species in sediments from the crude oil prospecting area of the Ondo coast, Nigeria. Human and Ecological Risk Assessment: An International Journal, Vol.18(4), 902-918pp.en_US
dc.identifier.urihttps://ir.unilag.edu.ng/handle/123456789/5119
dc.language.isoenen_US
dc.publisherTaylor and Francisen_US
dc.subjectfuzzy logicen_US
dc.subjectheavy metals speciationen_US
dc.subjectOndo Estuaryen_US
dc.subjectsedimentsen_US
dc.subjectResearch Subject Categories::TECHNOLOGY::Information technologyen_US
dc.titleFuzzy Logic Modeling of Contamination Degree of Ni and V Metal Species in Sediments from the Crude Oil Prospecting Area of the Ondo Coast, Nigeriaen_US
dc.typeArticleen_US
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