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Statistical Models for Evaluating Water Pollution: The Case of Asejire and Eleyele Reservoirs in Nigeria

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dc.creator Privatus, Christopher
dc.creator Obisesan, K.O.
dc.date 2019-07-30T14:11:54Z
dc.date 2019-07-30T14:11:54Z
dc.date 2018-09
dc.date.accessioned 2022-10-20T08:35:14Z
dc.date.available 2022-10-20T08:35:14Z
dc.identifier http://dspace.cbe.ac.tz:8080/xmlui/handle/123456789/331
dc.identifier.uri http://hdl.handle.net/123456789/79535
dc.description Water pollution is a major environmental problem due to rapid population growth that over exploit and pollute the water resources. In this work the physico-chemical study of Asejire and Eleyele reservoirs are carried out to examine the water pollution levels. Eleyele and Asejire reservoirs are the two major sources of pipe-borne water in Ibadan with a population of about four million people. Water samples were collected from both sites from January 2003-December 2007 and analysed for 13 physico-chemical parameters. The data were subjected to Principal Component Analysis (PCA) to define the parameters responsible for the main variability in water pollution. The PCA produces 5 significant main components explaining 66.6% and 69.8% variance in Asejire and Eleyele reservoir, respectively. Generalized Linear Model (GLM) is applied to study the variability in turbidity level which shows that four parameters in each reservoir are important to explain the turbidity variation. Also many parameters in Asejire lie within the SON and WHO permissible limits while in Eleyele reservoir many parameters lie out. This therefore is an indication that water in Eleyele reservoir is more polluted than in Asejire reservoir.
dc.format application/pdf
dc.language en
dc.publisher College of Business Education Journal
dc.relation Volume 8;Issue No: 5
dc.subject Principal Component Analysis, Generalized Linear Model, Water pollution, Water Quality.
dc.title Statistical Models for Evaluating Water Pollution: The Case of Asejire and Eleyele Reservoirs in Nigeria
dc.type Article


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